---
_id: '14212'
abstract:
- lang: eng
  text: This paper demonstrates how to discover the whole causal graph from the second
    derivative of the log-likelihood in observational non-linear additive Gaussian
    noise models. Leveraging scalable machine learning approaches to approximate the
    score function ∇logp(X), we extend the work of Rolland et al. (2022) that only
    recovers the topological order from the score and requires an expensive pruning
    step removing spurious edges among those admitted by the ordering. Our analysis
    leads to DAS (acronym for Discovery At Scale), a practical algorithm that reduces
    the complexity of the pruning by a factor proportional to the graph size. In practice,
    DAS achieves competitive accuracy with current state-of-the-art while being over
    an order of magnitude faster. Overall, our approach enables principled and scalable
    causal discovery, significantly lowering the compute bar.
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
  full_name: Montagna, Francesco
  last_name: Montagna
- first_name: Nicoletta
  full_name: Noceti, Nicoletta
  last_name: Noceti
- first_name: Lorenzo
  full_name: Rosasco, Lorenzo
  last_name: Rosasco
- first_name: Kun
  full_name: Zhang, Kun
  last_name: Zhang
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
citation:
  ama: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery
    with score matching. In: <i>2nd Conference on Causal Learning and Reasoning</i>.
    ; 2023.'
  apa: Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &#38; Locatello, F. (2023).
    Scalable causal discovery with score matching. In <i>2nd Conference on Causal
    Learning and Reasoning</i>. Tübingen, Germany.
  chicago: Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and
    Francesco Locatello. “Scalable Causal Discovery with Score Matching.” In <i>2nd
    Conference on Causal Learning and Reasoning</i>, 2023.
  ieee: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Scalable
    causal discovery with score matching,” in <i>2nd Conference on Causal Learning
    and Reasoning</i>, Tübingen, Germany, 2023.
  ista: 'Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. 2023. Scalable causal
    discovery with score matching. 2nd Conference on Causal Learning and Reasoning.
    CLeaR: Conference on Causal Learning and Reasoning.'
  mla: Montagna, Francesco, et al. “Scalable Causal Discovery with Score Matching.”
    <i>2nd Conference on Causal Learning and Reasoning</i>, 2023.
  short: F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference
    on Causal Learning and Reasoning, 2023.
conference:
  end_date: 2023-04-14
  location: Tübingen, Germany
  name: 'CLeaR: Conference on Causal Learning and Reasoning'
  start_date: 2023-04-11
date_created: 2023-08-22T14:19:40Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-09-13T09:03:24Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2304.03382'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2304.03382
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scalable causal discovery with score matching
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14214'
abstract:
- lang: eng
  text: 'Recent years have seen a surge of interest in learning high-level causal
    representations from low-level image pairs under interventions. Yet, existing
    efforts are largely limited to simple synthetic settings that are far away from
    real-world problems. In this paper, we present Causal Triplet, a causal representation
    learning benchmark featuring not only visually more complex scenes, but also two
    crucial desiderata commonly overlooked in previous works: (i) an actionable counterfactual
    setting, where only certain object-level variables allow for counterfactual observations
    whereas others do not; (ii) an interventional downstream task with an emphasis
    on out-of-distribution robustness from the independent causal mechanisms principle.
    Through extensive experiments, we find that models built with the knowledge of
    disentangled or object-centric representations significantly outperform their
    distributed counterparts. However, recent causal representation learning methods
    still struggle to identify such latent structures, indicating substantial challenges
    and opportunities for future work.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Yuejiang
  full_name: Liu, Yuejiang
  last_name: Liu
- first_name: Alexandre
  full_name: Alahi, Alexandre
  last_name: Alahi
- first_name: Chris
  full_name: Russell, Chris
  last_name: Russell
- first_name: Max
  full_name: Horn, Max
  last_name: Horn
- first_name: Dominik
  full_name: Zietlow, Dominik
  last_name: Zietlow
- first_name: Bernhard
  full_name: Schölkopf, Bernhard
  last_name: Schölkopf
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
citation:
  ama: 'Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric
    causal representation learning. In: <i>2nd Conference on Causal Learning and Reasoning</i>.
    ; 2023.'
  apa: 'Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., &#38;
    Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric
    causal representation learning. In <i>2nd Conference on Causal Learning and Reasoning</i>.
    Tübingen, Germany.'
  chicago: 'Liu, Yuejiang, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow,
    Bernhard Schölkopf, and Francesco Locatello. “Causal Triplet: An Open Challenge
    for Intervention-Centric Causal Representation Learning.” In <i>2nd Conference
    on Causal Learning and Reasoning</i>, 2023.'
  ieee: 'Y. Liu <i>et al.</i>, “Causal triplet: An open challenge for intervention-centric
    causal representation learning,” in <i>2nd Conference on Causal Learning and Reasoning</i>,
    Tübingen, Germany, 2023.'
  ista: 'Liu Y, Alahi A, Russell C, Horn M, Zietlow D, Schölkopf B, Locatello F. 2023.
    Causal triplet: An open challenge for intervention-centric causal representation
    learning. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on
    Causal Learning and Reasoning.'
  mla: 'Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric
    Causal Representation Learning.” <i>2nd Conference on Causal Learning and Reasoning</i>,
    2023.'
  short: Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello,
    in:, 2nd Conference on Causal Learning and Reasoning, 2023.
conference:
  end_date: 2023-04-14
  location: Tübingen, Germany
  name: 'CLeaR: Conference on Causal Learning and Reasoning'
  start_date: 2023-04-11
date_created: 2023-08-22T14:20:18Z
date_published: 2023-04-12T00:00:00Z
date_updated: 2023-09-13T09:23:08Z
day: '12'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2301.05169'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2301.05169
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
status: public
title: 'Causal triplet: An open challenge for intervention-centric causal representation
  learning'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14217'
abstract:
- lang: eng
  text: 'Neural networks embed the geometric structure of a data manifold lying in
    a high-dimensional space into latent representations. Ideally, the distribution
    of the data points in the latent space should depend only on the task, the data,
    the loss, and other architecture-specific constraints. However, factors such as
    the random weights initialization, training hyperparameters, or other sources
    of randomness in the training phase may induce incoherent latent spaces that hinder
    any form of reuse. Nevertheless, we empirically observe that, under the same data
    and modeling choices, the angles between the encodings within distinct latent
    spaces do not change. In this work, we propose the latent similarity between each
    sample and a fixed set of anchors as an alternative data representation, demonstrating
    that it can enforce the desired invariances without any additional training. We
    show how neural architectures can leverage these relative representations to guarantee,
    in practice, invariance to latent isometries and rescalings, effectively enabling
    latent space communication: from zero-shot model stitching to latent space comparison
    between diverse settings. We extensively validate the generalization capability
    of our approach on different datasets, spanning various modalities (images, text,
    graphs), tasks (e.g., classification, reconstruction) and architectures (e.g.,
    CNNs, GCNs, transformers).'
article_processing_charge: No
arxiv: 1
author:
- first_name: Luca
  full_name: Moschella, Luca
  last_name: Moschella
- first_name: Valentino
  full_name: Maiorca, Valentino
  last_name: Maiorca
- first_name: Marco
  full_name: Fumero, Marco
  last_name: Fumero
- first_name: Antonio
  full_name: Norelli, Antonio
  last_name: Norelli
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
- first_name: Emanuele
  full_name: Rodolà, Emanuele
  last_name: Rodolà
citation:
  ama: 'Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. Relative
    representations enable zero-shot latent space communication. In: <i>The 11th International
    Conference on Learning Representations</i>. ; 2023.'
  apa: Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., &#38; Rodolà,
    E. (2023). Relative representations enable zero-shot latent space communication.
    In <i>The 11th International Conference on Learning Representations</i>. Kigali,
    Rwanda.
  chicago: Moschella, Luca, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco
    Locatello, and Emanuele Rodolà. “Relative Representations Enable Zero-Shot Latent
    Space Communication.” In <i>The 11th International Conference on Learning Representations</i>,
    2023.
  ieee: L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, and E. Rodolà,
    “Relative representations enable zero-shot latent space communication,” in <i>The
    11th International Conference on Learning Representations</i>, Kigali, Rwanda,
    2023.
  ista: Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. 2023.
    Relative representations enable zero-shot latent space communication. The 11th
    International Conference on Learning Representations. International Conference
    on Machine Learning Representations.
  mla: Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space
    Communication.” <i>The 11th International Conference on Learning Representations</i>,
    2023.
  short: L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà,
    in:, The 11th International Conference on Learning Representations, 2023.
conference:
  end_date: 2023-05-05
  location: Kigali, Rwanda
  name: International Conference on Machine Learning Representations
  start_date: 2023-05-01
date_created: 2023-08-22T14:22:20Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2023-09-13T09:44:26Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2209.15430'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2209.15430
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Relative representations enable zero-shot latent space communication
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14218'
abstract:
- lang: eng
  text: Humans naturally decompose their environment into entities at the appropriate
    level of abstraction to act in the world. Allowing machine learning algorithms
    to derive this decomposition in an unsupervised way has become an important line
    of research. However, current methods are restricted to simulated data or require
    additional information in the form of motion or depth in order to successfully
    discover objects. In this work, we overcome this limitation by showing that reconstructing
    features from models trained in a self-supervised manner is a sufficient training
    signal for object-centric representations to arise in a fully unsupervised way.
    Our approach, DINOSAUR, significantly out-performs existing image-based object-centric
    learning models on simulated data and is the first unsupervised object-centric
    model that scales to real-world datasets such as COCO and PASCAL VOC. DINOSAUR
    is conceptually simple and shows competitive performance compared to more involved
    pipelines from the computer vision literature.
article_processing_charge: No
arxiv: 1
author:
- first_name: Maximilian
  full_name: Seitzer, Maximilian
  last_name: Seitzer
- first_name: Max
  full_name: Horn, Max
  last_name: Horn
- first_name: Andrii
  full_name: Zadaianchuk, Andrii
  last_name: Zadaianchuk
- first_name: Dominik
  full_name: Zietlow, Dominik
  last_name: Zietlow
- first_name: Tianjun
  full_name: Xiao, Tianjun
  last_name: Xiao
- first_name: Carl-Johann Simon-Gabriel
  full_name: Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel
  last_name: Carl-Johann Simon-Gabriel
- first_name: Tong
  full_name: He, Tong
  last_name: He
- first_name: Zheng
  full_name: Zhang, Zheng
  last_name: Zhang
- first_name: Bernhard
  full_name: Schölkopf, Bernhard
  last_name: Schölkopf
- first_name: Thomas
  full_name: Brox, Thomas
  last_name: Brox
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
citation:
  ama: 'Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric
    learning. In: <i>The 11th International Conference on Learning Representations</i>.
    ; 2023.'
  apa: Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann
    Simon-Gabriel, C.-J. S.-G., … Locatello, F. (2023). Bridging the gap to real-world
    object-centric learning. In <i>The 11th International Conference on Learning Representations</i>.
    Kigali, Rwanda.
  chicago: Seitzer, Maximilian, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun
    Xiao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, Tong He, et al. “Bridging
    the Gap to Real-World Object-Centric Learning.” In <i>The 11th International Conference
    on Learning Representations</i>, 2023.
  ieee: M. Seitzer <i>et al.</i>, “Bridging the gap to real-world object-centric learning,”
    in <i>The 11th International Conference on Learning Representations</i>, Kigali,
    Rwanda, 2023.
  ista: 'Seitzer M, Horn M, Zadaianchuk A, Zietlow D, Xiao T, Carl-Johann Simon-Gabriel
    C-JS-G, He T, Zhang Z, Schölkopf B, Brox T, Locatello F. 2023. Bridging the gap
    to real-world object-centric learning. The 11th International Conference on Learning
    Representations. ICLR: International Conference on Learning Representations.'
  mla: Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric
    Learning.” <i>The 11th International Conference on Learning Representations</i>,
    2023.
  short: M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann
    Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The
    11th International Conference on Learning Representations, 2023.
conference:
  end_date: 2023-05-05
  location: Kigali, Rwanda
  name: 'ICLR: International Conference on Learning Representations'
  start_date: 2023-05-01
date_created: 2023-08-22T14:22:41Z
date_published: 2023-05-10T00:00:00Z
date_updated: 2023-09-13T11:37:03Z
day: '10'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2209.14860'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2209.14860
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Bridging the gap to real-world object-centric learning
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14219'
abstract:
- lang: eng
  text: "In this paper, we show that recent advances in self-supervised feature\r\nlearning
    enable unsupervised object discovery and semantic segmentation with a\r\nperformance
    that matches the state of the field on supervised semantic\r\nsegmentation 10
    years ago. We propose a methodology based on unsupervised\r\nsaliency masks and
    self-supervised feature clustering to kickstart object\r\ndiscovery followed by
    training a semantic segmentation network on pseudo-labels\r\nto bootstrap the
    system on images with multiple objects. We present results on\r\nPASCAL VOC that
    go far beyond the current state of the art (50.0 mIoU), and we\r\nreport for the
    first time results on MS COCO for the whole set of 81 classes:\r\nour method discovers
    34 categories with more than $20\\%$ IoU, while obtaining\r\nan average IoU of
    19.6 for all 81 categories."
article_processing_charge: No
arxiv: 1
author:
- first_name: Andrii
  full_name: Zadaianchuk, Andrii
  last_name: Zadaianchuk
- first_name: Matthaeus
  full_name: Kleindessner, Matthaeus
  last_name: Kleindessner
- first_name: Yi
  full_name: Zhu, Yi
  last_name: Zhu
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
- first_name: Thomas
  full_name: Brox, Thomas
  last_name: Brox
citation:
  ama: 'Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. Unsupervised semantic
    segmentation with self-supervised object-centric representations. In: <i>The 11th
    International Conference on Learning Representations</i>. ; 2023.'
  apa: Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., &#38; Brox, T. (2023).
    Unsupervised semantic segmentation with self-supervised object-centric representations.
    In <i>The 11th International Conference on Learning Representations</i>. Kigali,
    Rwanda.
  chicago: Zadaianchuk, Andrii, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello,
    and Thomas Brox. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric
    Representations.” In <i>The 11th International Conference on Learning Representations</i>,
    2023.
  ieee: A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox, “Unsupervised
    semantic segmentation with self-supervised object-centric representations,” in
    <i>The 11th International Conference on Learning Representations</i>, Kigali,
    Rwanda, 2023.
  ista: 'Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. 2023. Unsupervised
    semantic segmentation with self-supervised object-centric representations. The
    11th International Conference on Learning Representations. ICLR: International
    Conference on Learning Representations.'
  mla: Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised
    Object-Centric Representations.” <i>The 11th International Conference on Learning
    Representations</i>, 2023.
  short: A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The
    11th International Conference on Learning Representations, 2023.
conference:
  end_date: 2023-05-05
  location: Kigali, Rwanda
  name: 'ICLR: International Conference on Learning Representations'
  start_date: 2023-05-01
date_created: 2023-08-22T14:22:58Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2023-09-13T11:25:43Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2207.05027'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2207.05027
month: '05'
oa: 1
oa_version: Preprint
publication: The 11th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: Unsupervised semantic segmentation with self-supervised object-centric representations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14222'
abstract:
- lang: eng
  text: Learning generative object models from unlabelled videos is a long standing
    problem and required for causal scene modeling. We decompose this problem into
    three easier subtasks, and provide candidate solutions for each of them. Inspired
    by the Common Fate Principle of Gestalt Psychology, we first extract (noisy) masks
    of moving objects via unsupervised motion segmentation. Second, generative models
    are trained on the masks of the background and the moving objects, respectively.
    Third, background and foreground models are combined in a conditional "dead leaves"
    scene model to sample novel scene configurations where occlusions and depth layering
    arise naturally. To evaluate the individual stages, we introduce the Fishbowl
    dataset positioned between complex real-world scenes and common object-centric
    benchmarks of simplistic objects. We show that our approach allows learning generative
    models that generalize beyond the occlusions present in the input videos, and
    represent scenes in a modular fashion that allows sampling plausible scenes outside
    the training distribution by permitting, for instance, object numbers or densities
    not observed in the training set.
article_number: '2110.06562'
article_processing_charge: No
arxiv: 1
author:
- first_name: Matthias
  full_name: Tangemann, Matthias
  last_name: Tangemann
- first_name: Steffen
  full_name: Schneider, Steffen
  last_name: Schneider
- first_name: Julius von
  full_name: Kügelgen, Julius von
  last_name: Kügelgen
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
- first_name: Peter
  full_name: Gehler, Peter
  last_name: Gehler
- first_name: Thomas
  full_name: Brox, Thomas
  last_name: Brox
- first_name: Matthias
  full_name: Kümmerer, Matthias
  last_name: Kümmerer
- first_name: Matthias
  full_name: Bethge, Matthias
  last_name: Bethge
- first_name: Bernhard
  full_name: Schölkopf, Bernhard
  last_name: Schölkopf
citation:
  ama: 'Tangemann M, Schneider S, Kügelgen J von, et al. Unsupervised object learning
    via common fate. In: <i>2nd Conference on Causal Learning and Reasoning</i>. ;
    2023.'
  apa: Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P.,
    Brox, T., … Schölkopf, B. (2023). Unsupervised object learning via common fate.
    In <i>2nd Conference on Causal Learning and Reasoning</i>. Tübingen, Germany.
  chicago: Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco
    Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and
    Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In <i>2nd
    Conference on Causal Learning and Reasoning</i>, 2023.
  ieee: M. Tangemann <i>et al.</i>, “Unsupervised object learning via common fate,”
    in <i>2nd Conference on Causal Learning and Reasoning</i>, Tübingen, Germany,
    2023.
  ista: 'Tangemann M, Schneider S, Kügelgen J von, Locatello F, Gehler P, Brox T,
    Kümmerer M, Bethge M, Schölkopf B. 2023. Unsupervised object learning via common
    fate. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on Causal
    Learning and Reasoning, 2110.06562.'
  mla: Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.”
    <i>2nd Conference on Causal Learning and Reasoning</i>, 2110.06562, 2023.
  short: M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T.
    Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning
    and Reasoning, 2023.
conference:
  end_date: 2023-04-14
  location: Tübingen, Germany
  name: 'CLeaR: Conference on Causal Learning and Reasoning'
  start_date: 2023-04-11
date_created: 2023-08-22T14:23:54Z
date_published: 2023-04-15T00:00:00Z
date_updated: 2023-09-13T11:31:14Z
day: '15'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '2110.06562'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2110.06562
month: '04'
oa: 1
oa_version: Preprint
publication: 2nd Conference on Causal Learning and Reasoning
publication_status: published
quality_controlled: '1'
status: public
title: Unsupervised object learning via common fate
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14226'
abstract:
- lang: eng
  text: "We introduce the notion of a Faustian interchange in a 1-parameter family
    of smooth\r\nfunctions to generalize the medial axis to critical points of index
    larger than 0.\r\nWe construct and implement a general purpose algorithm for approximating
    such\r\ngeneralized medial axes."
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Elizabeth R
  full_name: Stephenson, Elizabeth R
  id: 2D04F932-F248-11E8-B48F-1D18A9856A87
  last_name: Stephenson
  orcid: 0000-0002-6862-208X
citation:
  ama: Stephenson ER. Generalizing medial axes with homology switches. 2023. doi:<a
    href="https://doi.org/10.15479/at:ista:14226">10.15479/at:ista:14226</a>
  apa: Stephenson, E. R. (2023). <i>Generalizing medial axes with homology switches</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:14226">https://doi.org/10.15479/at:ista:14226</a>
  chicago: Stephenson, Elizabeth R. “Generalizing Medial Axes with Homology Switches.”
    Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:14226">https://doi.org/10.15479/at:ista:14226</a>.
  ieee: E. R. Stephenson, “Generalizing medial axes with homology switches,” Institute
    of Science and Technology Austria, 2023.
  ista: Stephenson ER. 2023. Generalizing medial axes with homology switches. Institute
    of Science and Technology Austria.
  mla: Stephenson, Elizabeth R. <i>Generalizing Medial Axes with Homology Switches</i>.
    Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:14226">10.15479/at:ista:14226</a>.
  short: E.R. Stephenson, Generalizing Medial Axes with Homology Switches, Institute
    of Science and Technology Austria, 2023.
date_created: 2023-08-24T13:01:18Z
date_published: 2023-08-24T00:00:00Z
date_updated: 2024-02-26T23:30:04Z
day: '24'
ddc:
- '500'
degree_awarded: MS
department:
- _id: GradSch
- _id: HeEd
doi: 10.15479/at:ista:14226
file:
- access_level: closed
  checksum: 453caf851d75c3478c10ed09bd242a91
  content_type: application/x-zip-compressed
  creator: cchlebak
  date_created: 2023-08-24T13:02:49Z
  date_updated: 2024-02-26T23:30:03Z
  embargo_to: open_access
  file_id: '14227'
  file_name: documents-export-2023-08-24.zip
  file_size: 15501411
  relation: source_file
- access_level: open_access
  checksum: 7349d29963d6695e555e171748648d9a
  content_type: application/pdf
  creator: cchlebak
  date_created: 2023-08-24T13:03:42Z
  date_updated: 2024-02-26T23:30:03Z
  embargo: 2024-02-25
  file_id: '14228'
  file_name: thesis_pdf_a.pdf
  file_size: 6854783
  relation: main_file
file_date_updated: 2024-02-26T23:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '43'
publication_identifier:
  issn:
  - 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
title: Generalizing medial axes with homology switches
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14238'
abstract:
- lang: eng
  text: We demonstrate that a sodium dimer, Na2(13Σ+u), residing on the surface of
    a helium nanodroplet, can be set into rotation by a nonresonant 1.0 ps infrared
    laser pulse. The time-dependent degree of alignment measured, exhibits a periodic,
    gradually decreasing structure that deviates qualitatively from that expected
    for gas-phase dimers. Comparison to alignment dynamics calculated from the time-dependent
    rotational Schrödinger equation shows that the deviation is due to the alignment
    dependent interaction between the dimer and the droplet surface. This interaction
    confines the dimer to the tangential plane of the droplet surface at the point
    where it resides and is the reason that the observed alignment dynamics is also
    well described by a 2D quantum rotor model.
acknowledgement: H. S. acknowledges support from The Villum Foundation through a Villum
  Investigator Grant No. 25886. M. L. acknowledges support by the European Research
  Council (ERC) Starting Grant No. 801770 (ANGULON). F. J. and R. E. Z. acknowledge
  support from the Centre for Scientific Computing, Aarhus and the JKU scientific
  computing administration, Linz, respectively.
article_number: '053201'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Lorenz
  full_name: Kranabetter, Lorenz
  last_name: Kranabetter
- first_name: Henrik H.
  full_name: Kristensen, Henrik H.
  last_name: Kristensen
- first_name: Areg
  full_name: Ghazaryan, Areg
  id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
  last_name: Ghazaryan
  orcid: 0000-0001-9666-3543
- first_name: Constant A.
  full_name: Schouder, Constant A.
  last_name: Schouder
- first_name: Adam S.
  full_name: Chatterley, Adam S.
  last_name: Chatterley
- first_name: Paul
  full_name: Janssen, Paul
  last_name: Janssen
- first_name: Frank
  full_name: Jensen, Frank
  last_name: Jensen
- first_name: Robert E.
  full_name: Zillich, Robert E.
  last_name: Zillich
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Henrik
  full_name: Stapelfeldt, Henrik
  last_name: Stapelfeldt
citation:
  ama: Kranabetter L, Kristensen HH, Ghazaryan A, et al. Nonadiabatic laser-induced
    alignment dynamics of molecules on a surface. <i>Physical Review Letters</i>.
    2023;131(5). doi:<a href="https://doi.org/10.1103/PhysRevLett.131.053201">10.1103/PhysRevLett.131.053201</a>
  apa: Kranabetter, L., Kristensen, H. H., Ghazaryan, A., Schouder, C. A., Chatterley,
    A. S., Janssen, P., … Stapelfeldt, H. (2023). Nonadiabatic laser-induced alignment
    dynamics of molecules on a surface. <i>Physical Review Letters</i>. American Physical
    Society. <a href="https://doi.org/10.1103/PhysRevLett.131.053201">https://doi.org/10.1103/PhysRevLett.131.053201</a>
  chicago: Kranabetter, Lorenz, Henrik H. Kristensen, Areg Ghazaryan, Constant A.
    Schouder, Adam S. Chatterley, Paul Janssen, Frank Jensen, Robert E. Zillich, Mikhail
    Lemeshko, and Henrik Stapelfeldt. “Nonadiabatic Laser-Induced Alignment Dynamics
    of Molecules on a Surface.” <i>Physical Review Letters</i>. American Physical
    Society, 2023. <a href="https://doi.org/10.1103/PhysRevLett.131.053201">https://doi.org/10.1103/PhysRevLett.131.053201</a>.
  ieee: L. Kranabetter <i>et al.</i>, “Nonadiabatic laser-induced alignment dynamics
    of molecules on a surface,” <i>Physical Review Letters</i>, vol. 131, no. 5. American
    Physical Society, 2023.
  ista: Kranabetter L, Kristensen HH, Ghazaryan A, Schouder CA, Chatterley AS, Janssen
    P, Jensen F, Zillich RE, Lemeshko M, Stapelfeldt H. 2023. Nonadiabatic laser-induced
    alignment dynamics of molecules on a surface. Physical Review Letters. 131(5),
    053201.
  mla: Kranabetter, Lorenz, et al. “Nonadiabatic Laser-Induced Alignment Dynamics
    of Molecules on a Surface.” <i>Physical Review Letters</i>, vol. 131, no. 5, 053201,
    American Physical Society, 2023, doi:<a href="https://doi.org/10.1103/PhysRevLett.131.053201">10.1103/PhysRevLett.131.053201</a>.
  short: L. Kranabetter, H.H. Kristensen, A. Ghazaryan, C.A. Schouder, A.S. Chatterley,
    P. Janssen, F. Jensen, R.E. Zillich, M. Lemeshko, H. Stapelfeldt, Physical Review
    Letters 131 (2023).
date_created: 2023-08-27T22:01:16Z
date_published: 2023-08-04T00:00:00Z
date_updated: 2023-12-13T12:18:54Z
day: '04'
department:
- _id: MiLe
doi: 10.1103/PhysRevLett.131.053201
ec_funded: 1
external_id:
  arxiv:
  - '2308.15247'
  isi:
  - '001101784100001'
  pmid:
  - '37595218'
intvolume: '       131'
isi: 1
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2308.15247
month: '08'
oa: 1
oa_version: Preprint
pmid: 1
project:
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '801770'
  name: 'Angulon: physics and applications of a new quasiparticle'
publication: Physical Review Letters
publication_identifier:
  eissn:
  - 1079-7114
  issn:
  - 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonadiabatic laser-induced alignment dynamics of molecules on a surface
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 131
year: '2023'
...
---
_id: '14239'
abstract:
- lang: eng
  text: "Given a resolution of rational singularities  π:X~→X  over a field of characteristic
    zero, we use a Hodge-theoretic argument to prove that the image of the functor
    \ Rπ∗:Db(X~)→Db(X)\r\n  between bounded derived categories of coherent sheaves
    generates  Db(X)\r\n  as a triangulated category. This gives a weak version of
    the Bondal–Orlov localization conjecture [BO02], answering a question from [PS21].
    The same result is established more generally for proper (not necessarily birational)
    morphisms  π:X~→X , with  X~\r\n  smooth, satisfying  Rπ∗(OX~)=OX ."
acknowledgement: "We thank Agnieszka Bodzenta-Skibińska, Paolo Cascini, Wahei Hara,
  Sándor Kovács, Alexander Kuznetsov, Mircea Musta  ă, Nebojsa Pavic, Pavel Sechin,
  and Michael Wemyss for discussions and e-mail correspondence. We also thank the
  anonymous referee for the helpful comments. M.M. was supported by the Institute
  of Science and Technology Austria. This project has received funding from the European
  Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
  grant agreement no. 101034413. E.S. was partially supported by the EPSRC grant EP/T019379/1
  “Derived categories and algebraic K-theory of singularities”, and by the ERC Synergy
  grant “Modern Aspects of Geometry: Categories, Cycles and Cohomology of Hyperkähler
  Varieties.”\r\n\r\n"
article_number: e66
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Mirko
  full_name: Mauri, Mirko
  id: 2cf70c34-09c1-11ed-bd8d-c34fac206130
  last_name: Mauri
- first_name: Evgeny
  full_name: Shinder, Evgeny
  last_name: Shinder
citation:
  ama: Mauri M, Shinder E. Homological Bondal-Orlov localization conjecture for rational
    singularities. <i>Forum of Mathematics, Sigma</i>. 2023;11. doi:<a href="https://doi.org/10.1017/fms.2023.65">10.1017/fms.2023.65</a>
  apa: Mauri, M., &#38; Shinder, E. (2023). Homological Bondal-Orlov localization
    conjecture for rational singularities. <i>Forum of Mathematics, Sigma</i>. Cambridge
    University Press. <a href="https://doi.org/10.1017/fms.2023.65">https://doi.org/10.1017/fms.2023.65</a>
  chicago: Mauri, Mirko, and Evgeny Shinder. “Homological Bondal-Orlov Localization
    Conjecture for Rational Singularities.” <i>Forum of Mathematics, Sigma</i>. Cambridge
    University Press, 2023. <a href="https://doi.org/10.1017/fms.2023.65">https://doi.org/10.1017/fms.2023.65</a>.
  ieee: M. Mauri and E. Shinder, “Homological Bondal-Orlov localization conjecture
    for rational singularities,” <i>Forum of Mathematics, Sigma</i>, vol. 11. Cambridge
    University Press, 2023.
  ista: Mauri M, Shinder E. 2023. Homological Bondal-Orlov localization conjecture
    for rational singularities. Forum of Mathematics, Sigma. 11, e66.
  mla: Mauri, Mirko, and Evgeny Shinder. “Homological Bondal-Orlov Localization Conjecture
    for Rational Singularities.” <i>Forum of Mathematics, Sigma</i>, vol. 11, e66,
    Cambridge University Press, 2023, doi:<a href="https://doi.org/10.1017/fms.2023.65">10.1017/fms.2023.65</a>.
  short: M. Mauri, E. Shinder, Forum of Mathematics, Sigma 11 (2023).
date_created: 2023-08-27T22:01:16Z
date_published: 2023-08-03T00:00:00Z
date_updated: 2023-12-13T12:18:18Z
day: '03'
ddc:
- '510'
department:
- _id: TaHa
doi: 10.1017/fms.2023.65
ec_funded: 1
external_id:
  arxiv:
  - '2212.06786'
  isi:
  - '001041926700001'
file:
- access_level: open_access
  checksum: c36241750cc5cb06890aec0ecdfee626
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-05T06:43:11Z
  date_updated: 2023-09-05T06:43:11Z
  file_id: '14266'
  file_name: 2023_ForumMathematics_Mauri.pdf
  file_size: 280865
  relation: main_file
  success: 1
file_date_updated: 2023-09-05T06:43:11Z
has_accepted_license: '1'
intvolume: '        11'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Forum of Mathematics, Sigma
publication_identifier:
  eissn:
  - 2050-5094
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Homological Bondal-Orlov localization conjecture for rational singularities
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2023'
...
---
_id: '14240'
abstract:
- lang: eng
  text: This paper introduces a novel method for simulating large bodies of water
    as a height field. At the start of each time step, we partition the waves into
    a bulk flow (which approximately satisfies the assumptions of the shallow water
    equations) and surface waves (which approximately satisfy the assumptions of Airy
    wave theory). We then solve the two wave regimes separately using appropriate
    state-of-the-art techniques, and re-combine the resulting wave velocities at the
    end of each step. This strategy leads to the first heightfield wave model capable
    of simulating complex interactions between both deep and shallow water effects,
    like the waves from a boat wake sloshing up onto a beach, or a dam break producing
    wave interference patterns and eddies. We also analyze the numerical dispersion
    created by our method and derive an exact correction factor for waves at a constant
    water depth, giving us a numerically perfect re-creation of theoretical water
    wave dispersion patterns.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank Georg Sperl for helping with early research for this paper,
  Mickael Ly and Yi-Lu Chen for proofreading, and members of the ISTA Visual Computing
  Group for general feedback. This project was funded in part by the European Research
  Council (ERC Consolidator Grant 101045083 CoDiNA).\r\nThe motorboat and sailboat
  were modeled by Sergei and the palmtrees by YadroGames. The environment map was
  created by Emil Persson."
article_number: '83'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive
    surface waves. <i>ACM Transactions on Graphics</i>. 2023;42(4). doi:<a href="https://doi.org/10.1145/3592098">10.1145/3592098</a>
  apa: Jeschke, S., &#38; Wojtan, C. (2023). Generalizing shallow water simulations
    with dispersive surface waves. <i>ACM Transactions on Graphics</i>. Association
    for Computing Machinery. <a href="https://doi.org/10.1145/3592098">https://doi.org/10.1145/3592098</a>
  chicago: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
    with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>. Association
    for Computing Machinery, 2023. <a href="https://doi.org/10.1145/3592098">https://doi.org/10.1145/3592098</a>.
  ieee: S. Jeschke and C. Wojtan, “Generalizing shallow water simulations with dispersive
    surface waves,” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4. Association
    for Computing Machinery, 2023.
  ista: Jeschke S, Wojtan C. 2023. Generalizing shallow water simulations with dispersive
    surface waves. ACM Transactions on Graphics. 42(4), 83.
  mla: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
    with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>, vol. 42,
    no. 4, 83, Association for Computing Machinery, 2023, doi:<a href="https://doi.org/10.1145/3592098">10.1145/3592098</a>.
  short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 42 (2023).
date_created: 2023-08-27T22:01:17Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-02T09:35:55Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3592098
external_id:
  isi:
  - '001044671300049'
file:
- access_level: open_access
  checksum: 1d178bb2f8011d9f5aedda6427e18c7a
  content_type: video/mp4
  creator: sjeschke
  date_created: 2023-12-21T12:26:40Z
  date_updated: 2023-12-21T12:26:40Z
  file_id: '14704'
  file_name: PaperVideo_final.mp4
  file_size: 511572575
  relation: main_file
  success: 1
- access_level: open_access
  checksum: a49b2e744d5cd1276bb8b2e0ce6dc638
  content_type: application/pdf
  creator: dernst
  date_created: 2024-01-02T09:34:27Z
  date_updated: 2024-01-02T09:34:27Z
  file_id: '14725'
  file_name: 2023_ACMToG_Jeschke.pdf
  file_size: 7469177
  relation: main_file
  success: 1
file_date_updated: 2024-01-02T09:34:27Z
has_accepted_license: '1'
intvolume: '        42'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
  grant_number: '101045083'
  name: Computational Discovery of Numerical Algorithms for Animation and Simulation
    of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - 1557-7368
  issn:
  - 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Generalizing shallow water simulations with dispersive surface waves
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '14241'
abstract:
- lang: eng
  text: We present a technique to optimize the reflectivity of a surface while preserving
    its overall shape. The naïve optimization of the mesh vertices using the gradients
    of reflectivity simulations results in undesirable distortion. In contrast, our
    robust formulation optimizes the surface normal as an independent variable that
    bridges the reflectivity term with differential rendering, and the regularization
    term with as-rigid-as-possible elastic energy. We further adaptively subdivide
    the input mesh to improve the convergence. Consequently, our method can minimize
    the retroreflectivity of a wide range of input shapes, resulting in sharply creased
    shapes ubiquitous among stealth aircraft and Sci-Fi vehicles. Furthermore, by
    changing the reward for the direction of the outgoing light directions, our method
    can be applied to other reflectivity design tasks, such as the optimization of
    architectural walls to concentrate light in a specific region. We have tested
    the proposed method using light-transport simulations and real-world 3D-printed
    objects.
acknowledgement: "The authors would like to thank Yuki Koyama and Takeo Igarashi for
  early discussions, and Yuta Yaguchi for support in 3D printing. This research is
  partially supported by the Israel Science Foundation grant number 1390/19.\r\n"
article_number: '20'
article_processing_charge: No
arxiv: 1
author:
- first_name: Kenji
  full_name: Tojo, Kenji
  last_name: Tojo
- first_name: Ariel
  full_name: Shamir, Ariel
  last_name: Shamir
- first_name: Bernd
  full_name: Bickel, Bernd
  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
- first_name: Nobuyuki
  full_name: Umetani, Nobuyuki
  last_name: Umetani
citation:
  ama: 'Tojo K, Shamir A, Bickel B, Umetani N. Stealth shaper: Reflectivity optimization
    as surface stylization. In: <i>SIGGRAPH 2023 Conference Proceedings</i>. Association
    for Computing Machinery; 2023. doi:<a href="https://doi.org/10.1145/3588432.3591542">10.1145/3588432.3591542</a>'
  apa: 'Tojo, K., Shamir, A., Bickel, B., &#38; Umetani, N. (2023). Stealth shaper:
    Reflectivity optimization as surface stylization. In <i>SIGGRAPH 2023 Conference
    Proceedings</i>. Los Angeles, CA, United States: Association for Computing Machinery.
    <a href="https://doi.org/10.1145/3588432.3591542">https://doi.org/10.1145/3588432.3591542</a>'
  chicago: 'Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth
    Shaper: Reflectivity Optimization as Surface Stylization.” In <i>SIGGRAPH 2023
    Conference Proceedings</i>. Association for Computing Machinery, 2023. <a href="https://doi.org/10.1145/3588432.3591542">https://doi.org/10.1145/3588432.3591542</a>.'
  ieee: 'K. Tojo, A. Shamir, B. Bickel, and N. Umetani, “Stealth shaper: Reflectivity
    optimization as surface stylization,” in <i>SIGGRAPH 2023 Conference Proceedings</i>,
    Los Angeles, CA, United States, 2023.'
  ista: 'Tojo K, Shamir A, Bickel B, Umetani N. 2023. Stealth shaper: Reflectivity
    optimization as surface stylization. SIGGRAPH 2023 Conference Proceedings. SIGGRAPH:
    Computer Graphics and Interactive Techniques Conference, 20.'
  mla: 'Tojo, Kenji, et al. “Stealth Shaper: Reflectivity Optimization as Surface
    Stylization.” <i>SIGGRAPH 2023 Conference Proceedings</i>, 20, Association for
    Computing Machinery, 2023, doi:<a href="https://doi.org/10.1145/3588432.3591542">10.1145/3588432.3591542</a>.'
  short: K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference
    Proceedings, Association for Computing Machinery, 2023.
conference:
  end_date: 2023-08-10
  location: Los Angeles, CA, United States
  name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
  start_date: 2023-08-06
date_created: 2023-08-27T22:01:17Z
date_published: 2023-07-23T00:00:00Z
date_updated: 2023-09-05T07:22:03Z
day: '23'
department:
- _id: BeBi
doi: 10.1145/3588432.3591542
external_id:
  arxiv:
  - '2305.05944'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2305.05944
month: '07'
oa: 1
oa_version: Preprint
publication: SIGGRAPH 2023 Conference Proceedings
publication_identifier:
  isbn:
  - '9798400701597'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Stealth shaper: Reflectivity optimization as surface stylization'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14242'
abstract:
- lang: eng
  text: We study the problem of training and certifying adversarially robust quantized
    neural networks (QNNs). Quantization is a technique for making neural networks
    more efficient by running them using low-bit integer arithmetic and is therefore
    commonly adopted in industry. Recent work has shown that floating-point neural
    networks that have been verified to be robust can become vulnerable to adversarial
    attacks after quantization, and certification of the quantized representation
    is necessary to guarantee robustness. In this work, we present quantization-aware
    interval bound propagation (QA-IBP), a novel method for training robust QNNs.
    Inspired by advances in robust learning of non-quantized networks, our training
    algorithm computes the gradient of an abstract representation of the actual network.
    Unlike existing approaches, our method can handle the discrete semantics of QNNs.
    Based on QA-IBP, we also develop a complete verification procedure for verifying
    the adversarial robustness of QNNs, which is guaranteed to terminate and produce
    a correct answer. Compared to existing approaches, the key advantage of our verification
    procedure is that it runs entirely on GPU or other accelerator devices. We demonstrate
    experimentally that our approach significantly outperforms existing methods and
    establish the new state-of-the-art for training and certifying the robustness
    of QNNs.
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093, ERC
  CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
  programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. Research
  was sponsored by the United\r\nStates Air Force Research Laboratory and the United
  States Air Force Artificial Intelligence Accelerator and was accomplished under
  Cooperative Agreement Number FA8750-19-2-\r\n1000. The views and conclusions contained
  in this document are those of the authors and should not be interpreted as representing
  the official policies, either expressed or implied,\r\nof the United States Air
  Force or the U.S. Government. The U.S. Government is authorized to reproduce and
  distribute reprints for Government purposes notwithstanding any copyright\r\nnotation
  herein. The research was also funded in part by the AI2050 program at Schmidt Futures
  (Grant G-22-63172) and Capgemini SE."
article_processing_charge: No
arxiv: 1
author:
- first_name: Mathias
  full_name: Lechner, Mathias
  id: 3DC22916-F248-11E8-B48F-1D18A9856A87
  last_name: Lechner
- first_name: Dorde
  full_name: Zikelic, Dorde
  id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
  last_name: Zikelic
  orcid: 0000-0002-4681-1699
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Daniela
  full_name: Rus, Daniela
  last_name: Rus
citation:
  ama: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware
    interval bound propagation for training certifiably robust quantized neural networks.
    In: <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>.
    Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973.
    doi:<a href="https://doi.org/10.1609/aaai.v37i12.26747">10.1609/aaai.v37i12.26747</a>'
  apa: 'Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., &#38; Rus, D.
    (2023). Quantization-aware interval bound propagation for training certifiably
    robust quantized neural networks. In <i>Proceedings of the 37th AAAI Conference
    on Artificial Intelligence</i> (Vol. 37, pp. 14964–14973). Washington, DC, United
    States: Association for the Advancement of Artificial Intelligence. <a href="https://doi.org/10.1609/aaai.v37i12.26747">https://doi.org/10.1609/aaai.v37i12.26747</a>'
  chicago: Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger,
    and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably
    Robust Quantized Neural Networks.” In <i>Proceedings of the 37th AAAI Conference
    on Artificial Intelligence</i>, 37:14964–73. Association for the Advancement of
    Artificial Intelligence, 2023. <a href="https://doi.org/10.1609/aaai.v37i12.26747">https://doi.org/10.1609/aaai.v37i12.26747</a>.
  ieee: M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware
    interval bound propagation for training certifiably robust quantized neural networks,”
    in <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>,
    Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.
  ista: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware
    interval bound propagation for training certifiably robust quantized neural networks.
    Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference
    on Artificial Intelligence vol. 37, 14964–14973.'
  mla: Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for
    Training Certifiably Robust Quantized Neural Networks.” <i>Proceedings of the
    37th AAAI Conference on Artificial Intelligence</i>, vol. 37, no. 12, Association
    for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:<a href="https://doi.org/10.1609/aaai.v37i12.26747">10.1609/aaai.v37i12.26747</a>.
  short: M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings
    of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement
    of Artificial Intelligence, 2023, pp. 14964–14973.
conference:
  end_date: 2023-02-14
  location: Washington, DC, United States
  name: 'AAAI: Conference on Artificial Intelligence'
  start_date: 2023-02-07
date_created: 2023-08-27T22:01:17Z
date_published: 2023-06-26T00:00:00Z
date_updated: 2025-07-14T09:09:56Z
day: '26'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i12.26747
ec_funded: 1
external_id:
  arxiv:
  - '2211.16187'
intvolume: '        37'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2211.16187
month: '06'
oa: 1
oa_version: Preprint
page: 14964-14973
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
  isbn:
  - '9781577358800'
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantization-aware interval bound propagation for training certifiably robust
  quantized neural networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14243'
abstract:
- lang: eng
  text: 'Two-player zero-sum "graph games" are central in logic, verification, and
    multi-agent systems. The game proceeds by placing a token on a vertex of a graph,
    and allowing the players to move it to produce an infinite path, which determines
    the winner or payoff of the game. Traditionally, the players alternate turns in
    moving the token. In "bidding games", however, the players have budgets and in
    each turn, an auction (bidding) determines which player moves the token. So far,
    bidding games have only been studied as full-information games. In this work we
    initiate the study of partial-information bidding games: we study bidding games
    in which a player''s initial budget is drawn from a known probability distribution.
    We show that while for some bidding mechanisms and objectives, it is straightforward
    to adapt the results from the full-information setting to the partial-information
    setting, for others, the analysis is significantly more challenging, requires
    new techniques, and gives rise to interesting results. Specifically, we study
    games with "mean-payoff" objectives in combination with "poorman" bidding. We
    construct optimal strategies for a partially-informed player who plays against
    a fully-informed adversary. We show that, somewhat surprisingly, the "value" under
    pure strategies does not necessarily exist in such games.'
acknowledgement: This research was supported in part by ISF grant no.1679/21, by the
  ERC CoG 863818 (ForM-SMArt), and the European Union’s Horizon 2020 research and
  innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
arxiv: 1
author:
- first_name: Guy
  full_name: Avni, Guy
  id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
  last_name: Avni
  orcid: 0000-0001-5588-8287
- first_name: Ismael R
  full_name: Jecker, Ismael R
  id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425
  last_name: Jecker
- first_name: Dorde
  full_name: Zikelic, Dorde
  id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
  last_name: Zikelic
  orcid: 0000-0002-4681-1699
citation:
  ama: 'Avni G, Jecker IR, Zikelic D. Bidding graph games with partially-observable
    budgets. In: <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>.
    Vol 37. ; 2023:5464-5471. doi:<a href="https://doi.org/10.1609/aaai.v37i5.25679">10.1609/aaai.v37i5.25679</a>'
  apa: Avni, G., Jecker, I. R., &#38; Zikelic, D. (2023). Bidding graph games with
    partially-observable budgets. In <i>Proceedings of the 37th AAAI Conference on
    Artificial Intelligence</i> (Vol. 37, pp. 5464–5471). Washington, DC, United States.
    <a href="https://doi.org/10.1609/aaai.v37i5.25679">https://doi.org/10.1609/aaai.v37i5.25679</a>
  chicago: Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with
    Partially-Observable Budgets.” In <i>Proceedings of the 37th AAAI Conference on
    Artificial Intelligence</i>, 37:5464–71, 2023. <a href="https://doi.org/10.1609/aaai.v37i5.25679">https://doi.org/10.1609/aaai.v37i5.25679</a>.
  ieee: G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable
    budgets,” in <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>,
    Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
  ista: 'Avni G, Jecker IR, Zikelic D. 2023. Bidding graph games with partially-observable
    budgets. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI:
    Conference on Artificial Intelligence vol. 37, 5464–5471.'
  mla: Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”
    <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, vol.
    37, no. 5, 2023, pp. 5464–71, doi:<a href="https://doi.org/10.1609/aaai.v37i5.25679">10.1609/aaai.v37i5.25679</a>.
  short: G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference
    on Artificial Intelligence, 2023, pp. 5464–5471.
conference:
  end_date: 2023-02-14
  location: Washington, DC, United States
  name: 'AAAI: Conference on Artificial Intelligence'
  start_date: 2023-02-07
date_created: 2023-08-27T22:01:18Z
date_published: 2023-06-27T00:00:00Z
date_updated: 2025-07-14T09:09:56Z
day: '27'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i5.25679
ec_funded: 1
external_id:
  arxiv:
  - '2211.13626'
intvolume: '        37'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1609/aaai.v37i5.25679
month: '06'
oa: 1
oa_version: Published Version
page: 5464-5471
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
  isbn:
  - '9781577358800'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bidding graph games with partially-observable budgets
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14244'
abstract:
- lang: eng
  text: "In this paper, we determine the motivic class — in particular, the weight
    polynomial and conjecturally the Poincaré polynomial — of the open de Rham space,
    defined and studied by Boalch, of certain moduli spaces of irregular meromorphic
    connections on the trivial rank \r\n bundle on P1. The computation is by motivic
    Fourier transform. We show that the result satisfies the purity conjecture, that
    is, it agrees with the pure part of the conjectured mixed Hodge polynomial of
    the corresponding wild character variety. We also identify the open de Rham spaces
    with quiver varieties with multiplicities of Yamakawa and Geiss–Leclerc–Schröer.
    We finish with constructing natural complete hyperkähler metrics on them, which
    in the four-dimensional cases are expected to be of type ALF."
acknowledgement: We would like to thank Gergely Bérczy, Roger Bielawski, Philip Boalch,
  Sergey Cherkis, Andrew Dancer, Brent Doran, Eloïse Hamilton, Frances Kirwan, Bernard
  Leclerc, Emmanuel Letellier, Alessia Mandini, Maxence Mayrand, András Némethi, Szilárd
  Szabó, and Daisuke Yamakawa for discussions related to the paper. We especially
  thank the referee for an extensive list of very careful comments. At various stages
  of this project, the authors were supported by the Advanced Grant “Arithmetic and
  physics of Higgs moduli spaces” no. 320593 of the European Research Council, by
  grant no. 153627 and NCCR SwissMAP, both funded by the Swiss National Science Foundation
  as well as by EPF Lausanne and IST Austria. In the final stages of this project,
  MLW was supported by SFB/TR 45 “Periods, moduli and arithmetic of algebraic varieties,”
  subproject M08-10 “Moduli of vector bundles on higher-dimensional varieties.” DW
  was also supported by the Fondation Sciences Mathématiques de Paris, as well as
  public grants overseen by the Agence national de la recherche (ANR) of France as
  part of the Investissements d'avenir program, under reference numbers ANR-10-LABX-0098
  and ANR-15-CE40-0008 (Défigéo).
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Tamás
  full_name: Hausel, Tamás
  id: 4A0666D8-F248-11E8-B48F-1D18A9856A87
  last_name: Hausel
- first_name: Michael Lennox
  full_name: Wong, Michael Lennox
  last_name: Wong
- first_name: Dimitri
  full_name: Wyss, Dimitri
  last_name: Wyss
citation:
  ama: Hausel T, Wong ML, Wyss D. Arithmetic and metric aspects of open de Rham spaces.
    <i>Proceedings of the London Mathematical Society</i>. 2023;127(4):958-1027. doi:<a
    href="https://doi.org/10.1112/plms.12555">10.1112/plms.12555</a>
  apa: Hausel, T., Wong, M. L., &#38; Wyss, D. (2023). Arithmetic and metric aspects
    of open de Rham spaces. <i>Proceedings of the London Mathematical Society</i>.
    Wiley. <a href="https://doi.org/10.1112/plms.12555">https://doi.org/10.1112/plms.12555</a>
  chicago: Hausel, Tamás, Michael Lennox Wong, and Dimitri Wyss. “Arithmetic and Metric
    Aspects of Open de Rham Spaces.” <i>Proceedings of the London Mathematical Society</i>.
    Wiley, 2023. <a href="https://doi.org/10.1112/plms.12555">https://doi.org/10.1112/plms.12555</a>.
  ieee: T. Hausel, M. L. Wong, and D. Wyss, “Arithmetic and metric aspects of open
    de Rham spaces,” <i>Proceedings of the London Mathematical Society</i>, vol. 127,
    no. 4. Wiley, pp. 958–1027, 2023.
  ista: Hausel T, Wong ML, Wyss D. 2023. Arithmetic and metric aspects of open de
    Rham spaces. Proceedings of the London Mathematical Society. 127(4), 958–1027.
  mla: Hausel, Tamás, et al. “Arithmetic and Metric Aspects of Open de Rham Spaces.”
    <i>Proceedings of the London Mathematical Society</i>, vol. 127, no. 4, Wiley,
    2023, pp. 958–1027, doi:<a href="https://doi.org/10.1112/plms.12555">10.1112/plms.12555</a>.
  short: T. Hausel, M.L. Wong, D. Wyss, Proceedings of the London Mathematical Society
    127 (2023) 958–1027.
date_created: 2023-08-27T22:01:18Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2024-01-30T12:56:10Z
day: '01'
ddc:
- '510'
department:
- _id: TaHa
doi: 10.1112/plms.12555
ec_funded: 1
external_id:
  arxiv:
  - '1807.04057'
  isi:
  - '001049312700001'
file:
- access_level: open_access
  checksum: 2af4d2d6a8ae42f7d3fba0188e79ae82
  content_type: application/pdf
  creator: dernst
  date_created: 2024-01-30T12:56:00Z
  date_updated: 2024-01-30T12:56:00Z
  file_id: '14910'
  file_name: 2023_ProcLondonMathSoc_Hausel.pdf
  file_size: 651335
  relation: main_file
  success: 1
file_date_updated: 2024-01-30T12:56:00Z
has_accepted_license: '1'
intvolume: '       127'
isi: 1
issue: '4'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 958-1027
project:
- _id: 25E549F4-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '320593'
  name: Arithmetic and physics of Higgs moduli spaces
- _id: 25E6C798-B435-11E9-9278-68D0E5697425
  grant_number: '153627'
  name: Arithmetic quantization of character and quiver varities
publication: Proceedings of the London Mathematical Society
publication_identifier:
  eissn:
  - 1460-244X
  issn:
  - 0024-6115
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Arithmetic and metric aspects of open de Rham spaces
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 127
year: '2023'
...
---
_id: '14245'
abstract:
- lang: eng
  text: We establish effective counting results for lattice points in families of
    domains in real, complex and quaternionic hyperbolic spaces of any dimension.
    The domains we focus on are defined as product sets with respect to an Iwasawa
    decomposition. Several natural diophantine problems can be reduced to counting
    lattice points in such domains. These include equidistribution of the ratio of
    the length of the shortest solution (x,y) to the gcd equation bx−ay=1 relative
    to the length of (a,b), where (a,b) ranges over primitive vectors in a disc whose
    radius increases, the natural analog of this problem in imaginary quadratic number
    fields, as well as equidistribution of integral solutions to the diophantine equation
    defined by an integral Lorentz form in three or more variables. We establish an
    effective rate of convergence for these equidistribution problems, depending on
    the size of the spectral gap associated with a suitable lattice subgroup in the
    isometry group of the relevant hyperbolic space. The main result underlying our
    discussion amounts to establishing effective joint equidistribution for the horospherical
    component and the radial component in the Iwasawa decomposition of lattice elements.
acknowledgement: The authors thank the referee for important comments which led to
  significant improvements is the presentation of several results in the paper. They
  also thank Ami Paz for preparing the figures for this paper. Horesh thanks Ami Paz
  and Yakov Karasik for helpful discussions. Nevo thanks John Parker and Rene Rühr
  for providing some very useful references. Nevo is supported by ISF Grant No. 2095/15.
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Tal
  full_name: Horesh, Tal
  id: C8B7BF48-8D81-11E9-BCA9-F536E6697425
  last_name: Horesh
- first_name: Amos
  full_name: Nevo, Amos
  last_name: Nevo
citation:
  ama: 'Horesh T, Nevo A. Horospherical coordinates of lattice points in hyperbolic
    spaces: Effective counting and equidistribution. <i>Pacific Journal of Mathematics</i>.
    2023;324(2):265-294. doi:<a href="https://doi.org/10.2140/pjm.2023.324.265">10.2140/pjm.2023.324.265</a>'
  apa: 'Horesh, T., &#38; Nevo, A. (2023). Horospherical coordinates of lattice points
    in hyperbolic spaces: Effective counting and equidistribution. <i>Pacific Journal
    of Mathematics</i>. Mathematical Sciences Publishers. <a href="https://doi.org/10.2140/pjm.2023.324.265">https://doi.org/10.2140/pjm.2023.324.265</a>'
  chicago: 'Horesh, Tal, and Amos Nevo. “Horospherical Coordinates of Lattice Points
    in Hyperbolic Spaces: Effective Counting and Equidistribution.” <i>Pacific Journal
    of Mathematics</i>. Mathematical Sciences Publishers, 2023. <a href="https://doi.org/10.2140/pjm.2023.324.265">https://doi.org/10.2140/pjm.2023.324.265</a>.'
  ieee: 'T. Horesh and A. Nevo, “Horospherical coordinates of lattice points in hyperbolic
    spaces: Effective counting and equidistribution,” <i>Pacific Journal of Mathematics</i>,
    vol. 324, no. 2. Mathematical Sciences Publishers, pp. 265–294, 2023.'
  ista: 'Horesh T, Nevo A. 2023. Horospherical coordinates of lattice points in hyperbolic
    spaces: Effective counting and equidistribution. Pacific Journal of Mathematics.
    324(2), 265–294.'
  mla: 'Horesh, Tal, and Amos Nevo. “Horospherical Coordinates of Lattice Points in
    Hyperbolic Spaces: Effective Counting and Equidistribution.” <i>Pacific Journal
    of Mathematics</i>, vol. 324, no. 2, Mathematical Sciences Publishers, 2023, pp.
    265–94, doi:<a href="https://doi.org/10.2140/pjm.2023.324.265">10.2140/pjm.2023.324.265</a>.'
  short: T. Horesh, A. Nevo, Pacific Journal of Mathematics 324 (2023) 265–294.
date_created: 2023-08-27T22:01:18Z
date_published: 2023-07-26T00:00:00Z
date_updated: 2023-12-13T12:19:42Z
day: '26'
ddc:
- '510'
department:
- _id: TiBr
doi: 10.2140/pjm.2023.324.265
external_id:
  arxiv:
  - '1612.08215'
  isi:
  - '001047690500001'
file:
- access_level: open_access
  checksum: a675b53cfb31fa46be1e879b7e77fe8c
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-05T07:26:17Z
  date_updated: 2023-09-05T07:26:17Z
  file_id: '14267'
  file_name: 2023_PacificJourMaths_Horesh.pdf
  file_size: 654895
  relation: main_file
  success: 1
file_date_updated: 2023-09-05T07:26:17Z
has_accepted_license: '1'
intvolume: '       324'
isi: 1
issue: '2'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 265-294
publication: Pacific Journal of Mathematics
publication_identifier:
  eissn:
  - 1945-5844
  issn:
  - 0030-8730
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Horospherical coordinates of lattice points in hyperbolic spaces: Effective
  counting and equidistribution'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 324
year: '2023'
...
---
_id: '14246'
abstract:
- lang: eng
  text: The model of a ring threaded by the Aharonov-Bohm flux underlies our understanding
    of a coupling between gauge potentials and matter. The typical formulation of
    the model is based upon a single particle picture, and should be extended when
    interactions with other particles become relevant. Here, we illustrate such an
    extension for a particle in an Aharonov-Bohm ring subject to interactions with
    a weakly interacting Bose gas. We show that the ground state of the system can
    be described using the Bose-polaron concept—a particle dressed by interactions
    with a bosonic environment. We connect the energy spectrum to the effective mass
    of the polaron, and demonstrate how to change currents in the system by tuning
    boson-particle interactions. Our results suggest the Aharonov-Bohm ring as a platform
    for studying coherence and few- to many-body crossover of quasi-particles that
    arise from an impurity immersed in a medium.
acknowledgement: "Open Access funding enabled and organized by Projekt DEAL.\r\nWe
  would like to thank Jonas Jager for sharing his data with us in the early stages
  of this project. We thank Joachim Brand and Ray Yang for sharing with us data from
  Yang et al.46. This work has received funding from the DFG Project no. 413495248
  [VO 2437/1-1] (F.B., H.-W.H., A.G.V.). We acknowledge support from the Deutsche
  Forschungsgemeinschaft (DFG - German Research Foundation) and the Open Access Publishing
  Fund of the Technical University of Darmstadt."
article_number: '224'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Fabian
  full_name: Brauneis, Fabian
  last_name: Brauneis
- first_name: Areg
  full_name: Ghazaryan, Areg
  id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
  last_name: Ghazaryan
  orcid: 0000-0001-9666-3543
- first_name: Hans-Werner
  full_name: Hammer, Hans-Werner
  last_name: Hammer
- first_name: Artem
  full_name: Volosniev, Artem
  id: 37D278BC-F248-11E8-B48F-1D18A9856A87
  last_name: Volosniev
  orcid: 0000-0003-0393-5525
citation:
  ama: Brauneis F, Ghazaryan A, Hammer H-W, Volosniev A. Emergence of a Bose polaron
    in a small ring threaded by the Aharonov-Bohm flux. <i>Communications Physics</i>.
    2023;6. doi:<a href="https://doi.org/10.1038/s42005-023-01281-2">10.1038/s42005-023-01281-2</a>
  apa: Brauneis, F., Ghazaryan, A., Hammer, H.-W., &#38; Volosniev, A. (2023). Emergence
    of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux. <i>Communications
    Physics</i>. Springer Nature. <a href="https://doi.org/10.1038/s42005-023-01281-2">https://doi.org/10.1038/s42005-023-01281-2</a>
  chicago: Brauneis, Fabian, Areg Ghazaryan, Hans-Werner Hammer, and Artem Volosniev.
    “Emergence of a Bose Polaron in a Small Ring Threaded by the Aharonov-Bohm Flux.”
    <i>Communications Physics</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s42005-023-01281-2">https://doi.org/10.1038/s42005-023-01281-2</a>.
  ieee: F. Brauneis, A. Ghazaryan, H.-W. Hammer, and A. Volosniev, “Emergence of a
    Bose polaron in a small ring threaded by the Aharonov-Bohm flux,” <i>Communications
    Physics</i>, vol. 6. Springer Nature, 2023.
  ista: Brauneis F, Ghazaryan A, Hammer H-W, Volosniev A. 2023. Emergence of a Bose
    polaron in a small ring threaded by the Aharonov-Bohm flux. Communications Physics.
    6, 224.
  mla: Brauneis, Fabian, et al. “Emergence of a Bose Polaron in a Small Ring Threaded
    by the Aharonov-Bohm Flux.” <i>Communications Physics</i>, vol. 6, 224, Springer
    Nature, 2023, doi:<a href="https://doi.org/10.1038/s42005-023-01281-2">10.1038/s42005-023-01281-2</a>.
  short: F. Brauneis, A. Ghazaryan, H.-W. Hammer, A. Volosniev, Communications Physics
    6 (2023).
date_created: 2023-08-28T12:36:49Z
date_published: 2023-08-22T00:00:00Z
date_updated: 2023-12-13T12:21:09Z
day: '22'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1038/s42005-023-01281-2
external_id:
  arxiv:
  - '2301.10488'
  isi:
  - '001052577500002'
file:
- access_level: open_access
  checksum: 6edfc59b0ee7dc406d0968b05236e83d
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-05T08:45:49Z
  date_updated: 2023-09-05T08:45:49Z
  file_id: '14268'
  file_name: 2023_CommPhysics_Brauneis.pdf
  file_size: 855960
  relation: main_file
  success: 1
file_date_updated: 2023-09-05T08:45:49Z
has_accepted_license: '1'
intvolume: '         6'
isi: 1
keyword:
- General Physics and Astronomy
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: Communications Physics
publication_identifier:
  issn:
  - 2399-3650
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2023'
...
---
_id: '14253'
abstract:
- lang: eng
  text: Junctions between the endoplasmic reticulum (ER) and the plasma membrane (PM)
    are specialized membrane contacts ubiquitous in eukaryotic cells. Concentration
    of intracellular signaling machinery near ER-PM junctions allows these domains
    to serve critical roles in lipid and Ca2+ signaling and homeostasis. Subcellular
    compartmentalization of protein kinase A (PKA) signaling also regulates essential
    cellular functions, however, no specific association between PKA and ER-PM junctional
    domains is known. Here, we show that in brain neurons type I PKA is directed to
    Kv2.1 channel-dependent ER-PM junctional domains via SPHKAP, a type I PKA-specific
    anchoring protein. SPHKAP association with type I PKA regulatory subunit RI and
    ER-resident VAP proteins results in the concentration of type I PKA between stacked
    ER cisternae associated with ER-PM junctions. This ER-associated PKA signalosome
    enables reciprocal regulation between PKA and Ca2+ signaling machinery to support
    Ca2+ influx and excitation-transcription coupling. These data reveal that neuronal
    ER-PM junctions support a receptor-independent form of PKA signaling driven by
    membrane depolarization and intracellular Ca2+, allowing conversion of information
    encoded in electrical signals into biochemical changes universally recognized
    throughout the cell.
acknowledgement: We thank Kayla Templeton and Peter Turcanu for technical assistance,
  Michelle Salemi for assistance with LC-MS data acquisition and analysis, Dr. Belvin
  Gong for advice on monoclonal antibody generation, Drs. Maria Casas Prat and Eamonn
  Dickson for assistance with super-resolution TIRF microscopy, Dr. Oscar Cerda for
  assistance with the design of TAT-FFAT peptides, Dr. Fernando Santana for helpful
  discussions, and Dr. Jodi Nunnari for a careful reading of our manuscript. We also
  thank Dr. Alan Howe, Dr. Sohum Mehta, and Dr. Jin Zhang for providing plasmids used
  in this study. This project was funded by NIH Grants R01NS114210 and R21NS101648
  (J.S.T.), and F32NS108519 (N.C.V.).
article_number: '5231'
article_processing_charge: Yes
article_type: original
author:
- first_name: Nicholas C.
  full_name: Vierra, Nicholas C.
  last_name: Vierra
- first_name: Luisa
  full_name: Ribeiro-Silva, Luisa
  last_name: Ribeiro-Silva
- first_name: Michael
  full_name: Kirmiz, Michael
  last_name: Kirmiz
- first_name: Deborah
  full_name: Van Der List, Deborah
  last_name: Van Der List
- first_name: Pradeep
  full_name: Bhandari, Pradeep
  id: 45EDD1BC-F248-11E8-B48F-1D18A9856A87
  last_name: Bhandari
  orcid: 0000-0003-0863-4481
- first_name: Olivia A.
  full_name: Mack, Olivia A.
  last_name: Mack
- first_name: James
  full_name: Carroll, James
  last_name: Carroll
- first_name: Elodie
  full_name: Le Monnier, Elodie
  id: 3B59276A-F248-11E8-B48F-1D18A9856A87
  last_name: Le Monnier
- first_name: Sue A.
  full_name: Aicher, Sue A.
  last_name: Aicher
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
- first_name: James S.
  full_name: Trimmer, James S.
  last_name: Trimmer
citation:
  ama: Vierra NC, Ribeiro-Silva L, Kirmiz M, et al. Neuronal ER-plasma membrane junctions
    couple excitation to Ca2+-activated PKA signaling. <i>Nature Communications</i>.
    2023;14. doi:<a href="https://doi.org/10.1038/s41467-023-40930-6">10.1038/s41467-023-40930-6</a>
  apa: Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P.,
    Mack, O. A., … Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple
    excitation to Ca2+-activated PKA signaling. <i>Nature Communications</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41467-023-40930-6">https://doi.org/10.1038/s41467-023-40930-6</a>
  chicago: Vierra, Nicholas C., Luisa Ribeiro-Silva, Michael Kirmiz, Deborah Van Der
    List, Pradeep Bhandari, Olivia A. Mack, James Carroll, et al. “Neuronal ER-Plasma
    Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” <i>Nature
    Communications</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s41467-023-40930-6">https://doi.org/10.1038/s41467-023-40930-6</a>.
  ieee: N. C. Vierra <i>et al.</i>, “Neuronal ER-plasma membrane junctions couple
    excitation to Ca2+-activated PKA signaling,” <i>Nature Communications</i>, vol.
    14. Springer Nature, 2023.
  ista: Vierra NC, Ribeiro-Silva L, Kirmiz M, Van Der List D, Bhandari P, Mack OA,
    Carroll J, Le Monnier E, Aicher SA, Shigemoto R, Trimmer JS. 2023. Neuronal ER-plasma
    membrane junctions couple excitation to Ca2+-activated PKA signaling. Nature Communications.
    14, 5231.
  mla: Vierra, Nicholas C., et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation
    to Ca2+-Activated PKA Signaling.” <i>Nature Communications</i>, vol. 14, 5231,
    Springer Nature, 2023, doi:<a href="https://doi.org/10.1038/s41467-023-40930-6">10.1038/s41467-023-40930-6</a>.
  short: N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A.
    Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature
    Communications 14 (2023).
date_created: 2023-09-03T22:01:14Z
date_published: 2023-08-26T00:00:00Z
date_updated: 2023-09-06T06:53:32Z
day: '26'
ddc:
- '570'
department:
- _id: RySh
doi: 10.1038/s41467-023-40930-6
external_id:
  pmid:
  - '37633939'
file:
- access_level: open_access
  checksum: 6ab8aab4e957f626a09a1c73db3388fb
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-06T06:50:07Z
  date_updated: 2023-09-06T06:50:07Z
  file_id: '14270'
  file_name: 2023_NatureComm_Vierra.pdf
  file_size: 9412549
  relation: main_file
  success: 1
file_date_updated: 2023-09-06T06:50:07Z
has_accepted_license: '1'
intvolume: '        14'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
  eissn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA
  signaling
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '14254'
abstract:
- lang: eng
  text: In [10] Nam proved a Lieb–Thirring Inequality for the kinetic energy of a
    fermionic quantum system, with almost optimal (semi-classical) constant and a
    gradient correction term. We present a stronger version of this inequality, with
    a much simplified proof. As a corollary we obtain a simple proof of the original
    Lieb–Thirring inequality.
acknowledgement: J.P.S. thanks the Institute of Science and Technology Austria for
  the hospitality and support during a visit where this work was done. J.P.S. was
  also partially supported by the VILLUM Centre of Excellence for the Mathematics
  of Quantum Theory (QMATH) (grant No. 10059).
article_number: '110129'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Robert
  full_name: Seiringer, Robert
  id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
  last_name: Seiringer
  orcid: 0000-0002-6781-0521
- first_name: Jan Philip
  full_name: Solovej, Jan Philip
  last_name: Solovej
citation:
  ama: Seiringer R, Solovej JP. A simple approach to Lieb-Thirring type inequalities.
    <i>Journal of Functional Analysis</i>. 2023;285(10). doi:<a href="https://doi.org/10.1016/j.jfa.2023.110129">10.1016/j.jfa.2023.110129</a>
  apa: Seiringer, R., &#38; Solovej, J. P. (2023). A simple approach to Lieb-Thirring
    type inequalities. <i>Journal of Functional Analysis</i>. Elsevier. <a href="https://doi.org/10.1016/j.jfa.2023.110129">https://doi.org/10.1016/j.jfa.2023.110129</a>
  chicago: Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring
    Type Inequalities.” <i>Journal of Functional Analysis</i>. Elsevier, 2023. <a
    href="https://doi.org/10.1016/j.jfa.2023.110129">https://doi.org/10.1016/j.jfa.2023.110129</a>.
  ieee: R. Seiringer and J. P. Solovej, “A simple approach to Lieb-Thirring type inequalities,”
    <i>Journal of Functional Analysis</i>, vol. 285, no. 10. Elsevier, 2023.
  ista: Seiringer R, Solovej JP. 2023. A simple approach to Lieb-Thirring type inequalities.
    Journal of Functional Analysis. 285(10), 110129.
  mla: Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring
    Type Inequalities.” <i>Journal of Functional Analysis</i>, vol. 285, no. 10, 110129,
    Elsevier, 2023, doi:<a href="https://doi.org/10.1016/j.jfa.2023.110129">10.1016/j.jfa.2023.110129</a>.
  short: R. Seiringer, J.P. Solovej, Journal of Functional Analysis 285 (2023).
date_created: 2023-09-03T22:01:14Z
date_published: 2023-11-15T00:00:00Z
date_updated: 2024-01-30T14:17:23Z
day: '15'
ddc:
- '510'
department:
- _id: RoSe
doi: 10.1016/j.jfa.2023.110129
external_id:
  arxiv:
  - '2303.04504'
  isi:
  - '001071552300001'
file:
- access_level: open_access
  checksum: 28e424ad91be6219e9d321054ce3a412
  content_type: application/pdf
  creator: dernst
  date_created: 2024-01-30T14:15:16Z
  date_updated: 2024-01-30T14:15:16Z
  file_id: '14915'
  file_name: 2023_JourFunctionalAnalysis_Seiringer.pdf
  file_size: 232934
  relation: main_file
  success: 1
file_date_updated: 2024-01-30T14:15:16Z
has_accepted_license: '1'
intvolume: '       285'
isi: 1
issue: '10'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: Journal of Functional Analysis
publication_identifier:
  eissn:
  - 1096-0783
  issn:
  - 0022-1236
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: A simple approach to Lieb-Thirring type inequalities
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 285
year: '2023'
...
---
_id: '14255'
abstract:
- lang: eng
  text: Toscana virus is a major cause of arboviral disease in humans in the Mediterranean
    basin during summer. However, early virus-host cell interactions and entry mechanisms
    remain poorly characterized. Investigating iPSC-derived human neurons and cell
    lines, we found that virus binding to the cell surface was specific, and 50% of
    bound virions were endocytosed within 10 min. Virions entered Rab5a+ early endosomes
    and, subsequently, Rab7a+ and LAMP-1+ late endosomal compartments. Penetration
    required intact late endosomes and occurred within 30 min following internalization.
    Virus entry relied on vacuolar acidification, with an optimal pH for viral membrane
    fusion at pH 5.5. The pH threshold increased to 5.8 with longer pre-exposure of
    virions to the slightly acidic pH in early endosomes. Strikingly, the particles
    remained infectious after entering late endosomes with a pH below the fusion threshold.
    Overall, our study establishes Toscana virus as a late-penetrating virus and reveals
    an atypical use of vacuolar acidity by this virus to enter host cells.
acknowledged_ssus:
- _id: EM-Fac
acknowledgement: "We acknowledge Elodie Chatre and the Imaging Platform Platim, SFR
  Biosciences, Lyon, as well as Vibor Laketa and the Infectious Diseases Imaging Platform
  (IDIP) at the Center for Integrative Infectious Disease Research (CIID) Heidelberg.
  The sand fly cell lines were supplied by the Tick Cell Biobank at the University
  of Liverpool. F.K.M.S. acknowledges support from the Scientific Service Units (SSUs)
  of ISTA through resources provided by the Electron Microscopy Facility (EMF).\r\nThis
  work was supported by CellNetworks Research Group funds and Deutsche Forschungsgemeinschaft
  (DFG) funding (LO-2338/3-1) and the Agence Nationale de la Recherche (ANR) funding
  (grant numbers ANR-21-CE11-0012 and ANR-22-CE15-0034), all awarded to P.-Y.L. This
  work was also supported by the LABEX ECOFECT (ANR-11-LABX-0048) of Université de
  Lyon (UDL), within the program “Investissements d’Avenir” (ANR-11-IDEX-0007) operated
  by the ANR and by the RESPOND program of the UDL (awarded to P.-Y.L) . C.A. was
  supported by the Chica and Heinz Schaller Research Group funds, NARSAD 2019 award,
  a Fritz Thyssen Research Grant, and the SFB1158-S02 grant. L.B-S. is supported by
  a United Kingdom Biotechnology and Biological Sciences Research Council grant (BB/P024270/1)
  and a Wellcome Trust grant (223743/Z/21/Z). F.K.M.S acknowledges support from the
  Austrian Science Fund (FWF, P31445). J.K. received a salary from the DFG (LO-2338/3-1)
  and then from the ANR (ANR-11-LABX-0048). The salary of Z.M.U. was partially covered
  by the DFG (LO-2338/3-1). S.K. received a salary from the DFG (SFB1129). We are
  grateful to the Chinese Scholarship Council (CSC; 201904910701), DAAD/ANID (57451854/62180003),
  the Rufus A. Kellogg fellowship program (Amherst College, Massachusetts, USA) for
  awarding fellowships to Q.X., J.C., and H.A.A., respectively."
article_number: e1011562
article_processing_charge: Yes
article_type: original
author:
- first_name: Jana
  full_name: Koch, Jana
  last_name: Koch
- first_name: Qilin
  full_name: Xin, Qilin
  last_name: Xin
- first_name: Martin
  full_name: Obr, Martin
  id: 4741CA5A-F248-11E8-B48F-1D18A9856A87
  last_name: Obr
  orcid: 0000-0003-1756-6564
- first_name: Alicia
  full_name: Schäfer, Alicia
  last_name: Schäfer
- first_name: Nina
  full_name: Rolfs, Nina
  last_name: Rolfs
- first_name: Holda A.
  full_name: Anagho, Holda A.
  last_name: Anagho
- first_name: Aiste
  full_name: Kudulyte, Aiste
  last_name: Kudulyte
- first_name: Lea
  full_name: Woltereck, Lea
  last_name: Woltereck
- first_name: Susann
  full_name: Kummer, Susann
  last_name: Kummer
- first_name: Joaquin
  full_name: Campos, Joaquin
  last_name: Campos
- first_name: Zina M.
  full_name: Uckeley, Zina M.
  last_name: Uckeley
- first_name: Lesley
  full_name: Bell-Sakyi, Lesley
  last_name: Bell-Sakyi
- first_name: Hans Georg
  full_name: Kräusslich, Hans Georg
  last_name: Kräusslich
- first_name: Florian Km
  full_name: Schur, Florian Km
  id: 48AD8942-F248-11E8-B48F-1D18A9856A87
  last_name: Schur
  orcid: 0000-0003-4790-8078
- first_name: Claudio
  full_name: Acuna, Claudio
  last_name: Acuna
- first_name: Pierre Yves
  full_name: Lozach, Pierre Yves
  last_name: Lozach
citation:
  ama: Koch J, Xin Q, Obr M, et al. The phenuivirus Toscana virus makes an atypical
    use of vacuolar acidity to enter host cells. <i>PLoS Pathogens</i>. 2023;19(8).
    doi:<a href="https://doi.org/10.1371/journal.ppat.1011562">10.1371/journal.ppat.1011562</a>
  apa: Koch, J., Xin, Q., Obr, M., Schäfer, A., Rolfs, N., Anagho, H. A., … Lozach,
    P. Y. (2023). The phenuivirus Toscana virus makes an atypical use of vacuolar
    acidity to enter host cells. <i>PLoS Pathogens</i>. Public Library of Science.
    <a href="https://doi.org/10.1371/journal.ppat.1011562">https://doi.org/10.1371/journal.ppat.1011562</a>
  chicago: Koch, Jana, Qilin Xin, Martin Obr, Alicia Schäfer, Nina Rolfs, Holda A.
    Anagho, Aiste Kudulyte, et al. “The Phenuivirus Toscana Virus Makes an Atypical
    Use of Vacuolar Acidity to Enter Host Cells.” <i>PLoS Pathogens</i>. Public Library
    of Science, 2023. <a href="https://doi.org/10.1371/journal.ppat.1011562">https://doi.org/10.1371/journal.ppat.1011562</a>.
  ieee: J. Koch <i>et al.</i>, “The phenuivirus Toscana virus makes an atypical use
    of vacuolar acidity to enter host cells,” <i>PLoS Pathogens</i>, vol. 19, no.
    8. Public Library of Science, 2023.
  ista: Koch J, Xin Q, Obr M, Schäfer A, Rolfs N, Anagho HA, Kudulyte A, Woltereck
    L, Kummer S, Campos J, Uckeley ZM, Bell-Sakyi L, Kräusslich HG, Schur FK, Acuna
    C, Lozach PY. 2023. The phenuivirus Toscana virus makes an atypical use of vacuolar
    acidity to enter host cells. PLoS Pathogens. 19(8), e1011562.
  mla: Koch, Jana, et al. “The Phenuivirus Toscana Virus Makes an Atypical Use of
    Vacuolar Acidity to Enter Host Cells.” <i>PLoS Pathogens</i>, vol. 19, no. 8,
    e1011562, Public Library of Science, 2023, doi:<a href="https://doi.org/10.1371/journal.ppat.1011562">10.1371/journal.ppat.1011562</a>.
  short: J. Koch, Q. Xin, M. Obr, A. Schäfer, N. Rolfs, H.A. Anagho, A. Kudulyte,
    L. Woltereck, S. Kummer, J. Campos, Z.M. Uckeley, L. Bell-Sakyi, H.G. Kräusslich,
    F.K. Schur, C. Acuna, P.Y. Lozach, PLoS Pathogens 19 (2023).
date_created: 2023-09-03T22:01:14Z
date_published: 2023-08-14T00:00:00Z
date_updated: 2023-12-13T12:22:22Z
day: '14'
ddc:
- '570'
department:
- _id: FlSc
doi: 10.1371/journal.ppat.1011562
external_id:
  isi:
  - '001050846300004'
  pmid:
  - '37578957'
file:
- access_level: open_access
  checksum: 47ca3bb54b27f28b05644be0ad064bc6
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-06T06:41:52Z
  date_updated: 2023-09-06T06:41:52Z
  file_id: '14269'
  file_name: 2023_PloSPathogens_Koch.pdf
  file_size: 4458336
  relation: main_file
  success: 1
file_date_updated: 2023-09-06T06:41:52Z
has_accepted_license: '1'
intvolume: '        19'
isi: 1
issue: '8'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 26736D6A-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P31445
  name: Structural conservation and diversity in retroviral capsid
publication: PLoS Pathogens
publication_identifier:
  eissn:
  - 1553-7374
  issn:
  - 1553-7366
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to
  enter host cells
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2023'
...
---
_id: '14256'
abstract:
- lang: eng
  text: "Context. Space asteroseismology is revolutionizing our knowledge of the internal
    structure and dynamics of stars. A breakthrough is ongoing with the recent discoveries
    of signatures of strong magnetic fields in the core of red giant stars. The key
    signature for such a detection is the asymmetry these fields induce in the frequency
    splittings of observed dipolar mixed gravito-acoustic modes.\r\nAims. We investigate
    the ability of the observed asymmetries of the frequency splittings of dipolar
    mixed modes to constrain the geometrical properties of deep magnetic fields.\r\nMethods.
    We used the powerful analytical Racah-Wigner algebra used in quantum mechanics
    to characterize the geometrical couplings of dipolar mixed oscillation modes with
    various realistically plausible topologies of fossil magnetic fields. We also
    computed the induced perturbation of their frequencies.\r\nResults. First, in
    the case of an oblique magnetic dipole, we provide the exact analytical expression
    of the asymmetry as a function of the angle between the rotation and magnetic
    axes. Its value provides a direct measure of this angle. Second, considering a
    combination of axisymmetric dipolar and quadrupolar fields, we show how the asymmetry
    is blind to the unraveling of the relative strength and sign of each component.
    Finally, in the case of a given multipole, we show that a negative asymmetry is
    a signature of non-axisymmetric topologies.\r\nConclusions. Asymmetries of dipolar
    mixed modes provide a key bit of information on the geometrical topology of deep
    fossil magnetic fields, but this is insufficient on its own. Asteroseismic constraints
    should therefore be combined with spectropolarimetric observations and numerical
    simulations, which aim to predict the more probable stable large-scale geometries."
acknowledgement: The authors are grateful to the referee for her/his detailed and
  constructive report, which has allowed us to improve our article. S. M. acknowledges
  support from the CNES GOLF-SOHO and PLATO grants at CEA/DAp and PNPS (CNRS/INSU).
  We thank R. A. Garcia for fruitful discussions and suggestions.
article_number: L9
article_processing_charge: Yes (in subscription journal)
article_type: letter_note
arxiv: 1
author:
- first_name: S.
  full_name: Mathis, S.
  last_name: Mathis
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
citation:
  ama: 'Mathis S, Bugnet LA. Asymmetries of frequency splittings of dipolar mixed
    modes: A window on the topology of deep magnetic fields. <i>Astronomy and Astrophysics</i>.
    2023;676. doi:<a href="https://doi.org/10.1051/0004-6361/202346832">10.1051/0004-6361/202346832</a>'
  apa: 'Mathis, S., &#38; Bugnet, L. A. (2023). Asymmetries of frequency splittings
    of dipolar mixed modes: A window on the topology of deep magnetic fields. <i>Astronomy
    and Astrophysics</i>. EDP Sciences. <a href="https://doi.org/10.1051/0004-6361/202346832">https://doi.org/10.1051/0004-6361/202346832</a>'
  chicago: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
    of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” <i>Astronomy
    and Astrophysics</i>. EDP Sciences, 2023. <a href="https://doi.org/10.1051/0004-6361/202346832">https://doi.org/10.1051/0004-6361/202346832</a>.'
  ieee: 'S. Mathis and L. A. Bugnet, “Asymmetries of frequency splittings of dipolar
    mixed modes: A window on the topology of deep magnetic fields,” <i>Astronomy and
    Astrophysics</i>, vol. 676. EDP Sciences, 2023.'
  ista: 'Mathis S, Bugnet LA. 2023. Asymmetries of frequency splittings of dipolar
    mixed modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics.
    676, L9.'
  mla: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
    of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” <i>Astronomy
    and Astrophysics</i>, vol. 676, L9, EDP Sciences, 2023, doi:<a href="https://doi.org/10.1051/0004-6361/202346832">10.1051/0004-6361/202346832</a>.'
  short: S. Mathis, L.A. Bugnet, Astronomy and Astrophysics 676 (2023).
date_created: 2023-09-03T22:01:15Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2023-09-06T11:05:58Z
day: '01'
ddc:
- '520'
department:
- _id: LiBu
doi: 10.1051/0004-6361/202346832
external_id:
  arxiv:
  - '2306.11587'
  isi:
  - '001046037700007'
file:
- access_level: open_access
  checksum: 7b30d26fb2b7bcb5b5be1414950615f9
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-06T07:13:19Z
  date_updated: 2023-09-06T07:13:19Z
  file_id: '14271'
  file_name: 2023_AstronomyAstrophysics_Mathis.pdf
  file_size: 458120
  relation: main_file
  success: 1
file_date_updated: 2023-09-06T07:13:19Z
has_accepted_license: '1'
intvolume: '       676'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: Astronomy and Astrophysics
publication_identifier:
  eissn:
  - 1432-0746
  issn:
  - 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Asymmetries of frequency splittings of dipolar mixed modes: A window on the
  topology of deep magnetic fields'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 676
year: '2023'
...
