---
_id: '2170'
abstract:
- lang: eng
  text: ' Short-read sequencing technologies have in principle made it feasible to
    draw detailed inferences about the recent history of any organism. In practice,
    however, this remains challenging due to the difficulty of genome assembly in
    most organisms and the lack of statistical methods powerful enough to discriminate
    between recent, nonequilibrium histories. We address both the assembly and inference
    challenges. We develop a bioinformatic pipeline for generating outgroup-rooted
    alignments of orthologous sequence blocks from de novo low-coverage short-read
    data for a small number of genomes, and show how such sequence blocks can be used
    to fit explicit models of population divergence and admixture in a likelihood
    framework. To illustrate our approach, we reconstruct the Pleistocene history
    of an oak-feeding insect (the oak gallwasp Biorhiza pallida), which, in common
    with many other taxa, was restricted during Pleistocene ice ages to a longitudinal
    series of southern refugia spanning the Western Palaearctic. Our analysis of sequence
    blocks sampled from a single genome from each of three major glacial refugia reveals
    support for an unexpected history dominated by recent admixture. Despite the fact
    that 80% of the genome is affected by admixture during the last glacial cycle,
    we are able to infer the deeper divergence history of these populations. These
    inferences are robust to variation in block length, mutation model and the sampling
    location of individual genomes within refugia. This combination of de novo assembly
    and numerical likelihood calculation provides a powerful framework for estimating
    recent population history that can be applied to any organism without the need
    for prior genetic resources.'
acknowledgement: This work was funded by NERC grants to G Stone, J Nicholls, K Lohse
  and N Barton (NE/J010499, NBAF375, NE/E014453/1 and NER/B/S2003/00856).
author:
- first_name: Jack
  full_name: Hearn, Jack
  last_name: Hearn
- first_name: Graham
  full_name: Stone, Graham
  last_name: Stone
- first_name: Lynsey
  full_name: Bunnefeld, Lynsey
  last_name: Bunnefeld
- first_name: James
  full_name: Nicholls, James
  last_name: Nicholls
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
- first_name: Konrad
  full_name: Lohse, Konrad
  last_name: Lohse
citation:
  ama: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. Likelihood-based
    inference of population history from low-coverage de novo genome assemblies. <i>Molecular
    Ecology</i>. 2014;23(1):198-211. doi:<a href="https://doi.org/10.1111/mec.12578">10.1111/mec.12578</a>
  apa: Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., &#38; Lohse,
    K. (2014). Likelihood-based inference of population history from low-coverage
    de novo genome assemblies. <i>Molecular Ecology</i>. Wiley-Blackwell. <a href="https://doi.org/10.1111/mec.12578">https://doi.org/10.1111/mec.12578</a>
  chicago: Hearn, Jack, Graham Stone, Lynsey Bunnefeld, James Nicholls, Nicholas H
    Barton, and Konrad Lohse. “Likelihood-Based Inference of Population History from
    Low-Coverage de Novo Genome Assemblies.” <i>Molecular Ecology</i>. Wiley-Blackwell,
    2014. <a href="https://doi.org/10.1111/mec.12578">https://doi.org/10.1111/mec.12578</a>.
  ieee: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N. H. Barton, and K. Lohse,
    “Likelihood-based inference of population history from low-coverage de novo genome
    assemblies,” <i>Molecular Ecology</i>, vol. 23, no. 1. Wiley-Blackwell, pp. 198–211,
    2014.
  ista: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. 2014. Likelihood-based
    inference of population history from low-coverage de novo genome assemblies. Molecular
    Ecology. 23(1), 198–211.
  mla: Hearn, Jack, et al. “Likelihood-Based Inference of Population History from
    Low-Coverage de Novo Genome Assemblies.” <i>Molecular Ecology</i>, vol. 23, no.
    1, Wiley-Blackwell, 2014, pp. 198–211, doi:<a href="https://doi.org/10.1111/mec.12578">10.1111/mec.12578</a>.
  short: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N.H. Barton, K. Lohse, Molecular
    Ecology 23 (2014) 198–211.
date_created: 2018-12-11T11:56:07Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2023-02-23T14:07:09Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.12578
file:
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  creator: system
  date_created: 2018-12-12T10:07:52Z
  date_updated: 2020-07-14T12:45:31Z
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  file_name: IST-2016-559-v1+1_Hearn_et_al.pdf
  file_size: 807444
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  checksum: 01a8073e071c088500425f910b0f1f71
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  date_created: 2018-12-12T10:07:53Z
  date_updated: 2020-07-14T12:45:31Z
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file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '        23'
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 198 - 211
publication: Molecular Ecology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '4814'
pubrep_id: '559'
quality_controlled: '1'
related_material:
  record:
  - id: '9754'
    relation: research_data
    status: public
scopus_import: 1
status: public
title: Likelihood-based inference of population history from low-coverage de novo
  genome assemblies
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 23
year: '2014'
...
---
_id: '2171'
abstract:
- lang: eng
  text: We present LS-CRF, a new method for training cyclic Conditional Random Fields
    (CRFs) from large datasets that is inspired by classical closed-form expressions
    for the maximum likelihood parameters of a generative graphical model with tree
    topology. Training a CRF with LS-CRF requires only solving a set of independent
    regression problems, each of which can be solved efficiently in closed form or
    by an iterative solver. This makes LS-CRF orders of magnitude faster than classical
    CRF training based on probabilistic inference, and at the same time more flexible
    and easier to implement than other approximate techniques, such as pseudolikelihood
    or piecewise training. We apply LS-CRF to the task of semantic image segmentation,
    showing that it achieves on par accuracy to other training techniques at higher
    speed, thereby allowing efficient CRF training from very large training sets.
    For example, training a linearly parameterized pairwise CRF on 150,000 images
    requires less than one hour on a modern workstation.
alternative_title:
- LNCS
author:
- first_name: Alexander
  full_name: Kolesnikov, Alexander
  id: 2D157DB6-F248-11E8-B48F-1D18A9856A87
  last_name: Kolesnikov
- first_name: Matthieu
  full_name: Guillaumin, Matthieu
  last_name: Guillaumin
- first_name: Vittorio
  full_name: Ferrari, Vittorio
  last_name: Ferrari
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate
    CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B,
    Tuytelaars T, eds. <i>Lecture Notes in Computer Science (Including Subseries Lecture
    Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>. Vol
    8691. Springer; 2014:550-565. doi:<a href="https://doi.org/10.1007/978-3-319-10578-9_36">10.1007/978-3-319-10578-9_36</a>'
  apa: 'Kolesnikov, A., Guillaumin, M., Ferrari, V., &#38; Lampert, C. (2014). Closed-form
    approximate CRF training for scalable image segmentation. In D. Fleet, T. Pajdla,
    B. Schiele, &#38; T. Tuytelaars (Eds.), <i>Lecture Notes in Computer Science (including
    subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>
    (Vol. 8691, pp. 550–565). Zurich, Switzerland: Springer. <a href="https://doi.org/10.1007/978-3-319-10578-9_36">https://doi.org/10.1007/978-3-319-10578-9_36</a>'
  chicago: Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph
    Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.”
    In <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in
    Artificial Intelligence and Lecture Notes in Bioinformatics)</i>, edited by David
    Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer,
    2014. <a href="https://doi.org/10.1007/978-3-319-10578-9_36">https://doi.org/10.1007/978-3-319-10578-9_36</a>.
  ieee: A. Kolesnikov, M. Guillaumin, V. Ferrari, and C. Lampert, “Closed-form approximate
    CRF training for scalable image segmentation,” in <i>Lecture Notes in Computer
    Science (including subseries Lecture Notes in Artificial Intelligence and Lecture
    Notes in Bioinformatics)</i>, Zurich, Switzerland, 2014, vol. 8691, no. PART 3,
    pp. 550–565.
  ista: 'Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate
    CRF training for scalable image segmentation. Lecture Notes in Computer Science
    (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
    in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691,
    550–565.'
  mla: Kolesnikov, Alexander, et al. “Closed-Form Approximate CRF Training for Scalable
    Image Segmentation.” <i>Lecture Notes in Computer Science (Including Subseries
    Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>,
    edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65,
    doi:<a href="https://doi.org/10.1007/978-3-319-10578-9_36">10.1007/978-3-319-10578-9_36</a>.
  short: A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla,
    B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including
    Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    Springer, 2014, pp. 550–565.
conference:
  end_date: 2014-09-12
  location: Zurich, Switzerland
  name: 'ECCV: European Conference on Computer Vision'
  start_date: 2014-09-06
date_created: 2018-12-11T11:56:07Z
date_published: 2014-09-01T00:00:00Z
date_updated: 2021-01-12T06:55:46Z
day: '01'
department:
- _id: ChLa
doi: 10.1007/978-3-319-10578-9_36
ec_funded: 1
editor:
- first_name: David
  full_name: Fleet, David
  last_name: Fleet
- first_name: Tomas
  full_name: Pajdla, Tomas
  last_name: Pajdla
- first_name: Bernt
  full_name: Schiele, Bernt
  last_name: Schiele
- first_name: Tinne
  full_name: Tuytelaars, Tinne
  last_name: Tuytelaars
intvolume: '      8691'
issue: PART 3
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1403.7057
month: '09'
oa: 1
oa_version: Submitted Version
page: 550 - 565
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication: Lecture Notes in Computer Science (including subseries Lecture Notes
  in Artificial Intelligence and Lecture Notes in Bioinformatics)
publication_status: published
publisher: Springer
publist_id: '4813'
quality_controlled: '1'
scopus_import: 1
status: public
title: Closed-form approximate CRF training for scalable image segmentation
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 8691
year: '2014'
...
---
_id: '2172'
abstract:
- lang: eng
  text: Fisher Kernels and Deep Learning were two developments with significant impact
    on large-scale object categorization in the last years. Both approaches were shown
    to achieve state-of-the-art results on large-scale object categorization datasets,
    such as ImageNet. Conceptually, however, they are perceived as very different
    and it is not uncommon for heated debates to spring up when advocates of both
    paradigms meet at conferences or workshops. In this work, we emphasize the similarities
    between both architectures rather than their differences and we argue that such
    a unified view allows us to transfer ideas from one domain to the other. As a
    concrete example we introduce a method for learning a support vector machine classifier
    with Fisher kernel at the same time as a task-specific data representation. We
    reinterpret the setting as a multi-layer feed forward network. Its final layer
    is the classifier, parameterized by a weight vector, and the two previous layers
    compute Fisher vectors, parameterized by the coefficients of a Gaussian mixture
    model. We introduce a gradient descent based learning algorithm that, in contrast
    to other feature learning techniques, is not just derived from intuition or biological
    analogy, but has a theoretical justification in the framework of statistical learning
    theory. Our experiments show that the new training procedure leads to significant
    improvements in classification accuracy while preserving the modularity and geometric
    interpretability of a support vector machine setup.
author:
- first_name: Vladyslav
  full_name: Sydorov, Vladyslav
  last_name: Sydorov
- first_name: Mayu
  full_name: Sakurada, Mayu
  last_name: Sakurada
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Sydorov V, Sakurada M, Lampert C. Deep Fisher Kernels – End to end learning
    of the Fisher Kernel GMM parameters. In: <i>Proceedings of the IEEE Computer Society
    Conference on Computer Vision and Pattern Recognition</i>. IEEE; 2014:1402-1409.
    doi:<a href="https://doi.org/10.1109/CVPR.2014.182">10.1109/CVPR.2014.182</a>'
  apa: 'Sydorov, V., Sakurada, M., &#38; Lampert, C. (2014). Deep Fisher Kernels –
    End to end learning of the Fisher Kernel GMM parameters. In <i>Proceedings of
    the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>
    (pp. 1402–1409). Columbus, USA: IEEE. <a href="https://doi.org/10.1109/CVPR.2014.182">https://doi.org/10.1109/CVPR.2014.182</a>'
  chicago: Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher
    Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” In <i>Proceedings
    of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>,
    1402–9. IEEE, 2014. <a href="https://doi.org/10.1109/CVPR.2014.182">https://doi.org/10.1109/CVPR.2014.182</a>.
  ieee: V. Sydorov, M. Sakurada, and C. Lampert, “Deep Fisher Kernels – End to end
    learning of the Fisher Kernel GMM parameters,” in <i>Proceedings of the IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition</i>, Columbus, USA,
    2014, pp. 1402–1409.
  ista: 'Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end
    learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer
    Vision and Pattern Recognition, 1402–1409.'
  mla: Sydorov, Vladyslav, et al. “Deep Fisher Kernels – End to End Learning of the
    Fisher Kernel GMM Parameters.” <i>Proceedings of the IEEE Computer Society Conference
    on Computer Vision and Pattern Recognition</i>, IEEE, 2014, pp. 1402–09, doi:<a
    href="https://doi.org/10.1109/CVPR.2014.182">10.1109/CVPR.2014.182</a>.
  short: V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp.
    1402–1409.
conference:
  end_date: 2014-06-28
  location: Columbus, USA
  name: 'CVPR: Computer Vision and Pattern Recognition'
  start_date: 2014-06-23
date_created: 2018-12-11T11:56:08Z
date_published: 2014-09-24T00:00:00Z
date_updated: 2021-01-12T06:55:46Z
day: '24'
department:
- _id: ChLa
doi: 10.1109/CVPR.2014.182
ec_funded: 1
language:
- iso: eng
month: '09'
oa_version: None
page: 1402 - 1409
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication: Proceedings of the IEEE Computer Society Conference on Computer Vision
  and Pattern Recognition
publication_status: published
publisher: IEEE
publist_id: '4812'
quality_controlled: '1'
scopus_import: 1
status: public
title: Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '2173'
abstract:
- lang: eng
  text: "In this work we introduce a new approach to co-classification, i.e. the task
    of jointly classifying multiple, otherwise independent, data samples. The method
    we present, named CoConut, is based on the idea of adding a regularizer in the
    label space to encode certain priors on the resulting labelings. A regularizer
    that encourages labelings that are smooth across the test set, for instance, can
    be seen as a test-time variant of the cluster assumption, which has been proven
    useful at training time in semi-supervised learning. A regularizer that introduces
    a preference for certain class proportions can be regarded as a prior distribution
    on the class labels. CoConut can build on existing classifiers without making
    any assumptions on how they were obtained and without the need to re-train them.
    The use of a regularizer adds a new level of flexibility. It allows the integration
    of potentially new information at test time, even in other modalities than what
    the classifiers were trained on. We evaluate our framework on six datasets, reporting
    a clear performance gain in classification accuracy compared to the standard classification
    setup that predicts labels for each test sample separately.\r\n"
author:
- first_name: Sameh
  full_name: Khamis, Sameh
  last_name: Khamis
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Khamis S, Lampert C. CoConut: Co-classification with output space regularization.
    In: <i>Proceedings of the British Machine Vision Conference 2014</i>. BMVA Press;
    2014.'
  apa: 'Khamis, S., &#38; Lampert, C. (2014). CoConut: Co-classification with output
    space regularization. In <i>Proceedings of the British Machine Vision Conference
    2014</i>. Nottingham, UK: BMVA Press.'
  chicago: 'Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with
    Output Space Regularization.” In <i>Proceedings of the British Machine Vision
    Conference 2014</i>. BMVA Press, 2014.'
  ieee: 'S. Khamis and C. Lampert, “CoConut: Co-classification with output space regularization,”
    in <i>Proceedings of the British Machine Vision Conference 2014</i>, Nottingham,
    UK, 2014.'
  ista: 'Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization.
    Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine
    Vision Conference.'
  mla: 'Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output
    Space Regularization.” <i>Proceedings of the British Machine Vision Conference
    2014</i>, BMVA Press, 2014.'
  short: S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference
    2014, BMVA Press, 2014.
conference:
  end_date: 2014-09-05
  location: Nottingham, UK
  name: 'BMVC: British Machine Vision Conference'
  start_date: 2014-09-01
date_created: 2018-12-11T11:56:08Z
date_published: 2014-09-01T00:00:00Z
date_updated: 2021-01-12T06:55:46Z
day: '01'
ddc:
- '000'
department:
- _id: ChLa
ec_funded: 1
file:
- access_level: open_access
  checksum: c4c6d3efdb8ee648faf3e76849839ce2
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:08:23Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '4683'
  file_name: IST-2016-490-v1+1_khamis-bmvc2014.pdf
  file_size: 408172
  relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication: Proceedings of the British Machine Vision Conference 2014
publication_status: published
publisher: BMVA Press
publist_id: '4811'
pubrep_id: '490'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'CoConut: Co-classification with output space regularization'
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '2174'
abstract:
- lang: eng
  text: 'When polygenic traits are under stabilizing selection, many different combinations
    of alleles allow close adaptation to the optimum. If alleles have equal effects,
    all combinations that result in the same deviation from the optimum are equivalent.
    Furthermore, the genetic variance that is maintained by mutation-selection balance
    is 2μ/S per locus, where μ is the mutation rate and S the strength of stabilizing
    selection. In reality, alleles vary in their effects, making the fitness landscape
    asymmetric and complicating analysis of the equilibria. We show that that the
    resulting genetic variance depends on the fraction of alleles near fixation, which
    contribute by 2μ/S, and on the total mutational effects of alleles that are at
    intermediate frequency. The inpplayfi between stabilizing selection and mutation
    leads to a sharp transition: alleles with effects smaller than a threshold value
    of 2 remain polymorphic, whereas those with larger effects are fixed. The genetic
    load in equilibrium is less than for traits of equal effects, and the fitness
    equilibria are more similar. We find p the optimum is displaced, alleles with
    effects close to the threshold value sweep first, and their rate of increase is
    bounded by Long-term response leads in general to well-adapted traits, unlike
    the case of equal effects that often end up at a suboptimal fitness peak. However,
    the particular peaks to which the populations converge are extremely sensitive
    to the initial states and to the speed of the shift of the optimum trait value.'
author:
- first_name: Harold
  full_name: De Vladar, Harold
  last_name: De Vladar
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
citation:
  ama: De Vladar H, Barton NH. Stability and response of polygenic traits to stabilizing
    selection and mutation. <i>Genetics</i>. 2014;197(2):749-767. doi:<a href="https://doi.org/10.1534/genetics.113.159111">10.1534/genetics.113.159111</a>
  apa: De Vladar, H., &#38; Barton, N. H. (2014). Stability and response of polygenic
    traits to stabilizing selection and mutation. <i>Genetics</i>. Genetics Society
    of America. <a href="https://doi.org/10.1534/genetics.113.159111">https://doi.org/10.1534/genetics.113.159111</a>
  chicago: De Vladar, Harold, and Nicholas H Barton. “Stability and Response of Polygenic
    Traits to Stabilizing Selection and Mutation.” <i>Genetics</i>. Genetics Society
    of America, 2014. <a href="https://doi.org/10.1534/genetics.113.159111">https://doi.org/10.1534/genetics.113.159111</a>.
  ieee: H. De Vladar and N. H. Barton, “Stability and response of polygenic traits
    to stabilizing selection and mutation,” <i>Genetics</i>, vol. 197, no. 2. Genetics
    Society of America, pp. 749–767, 2014.
  ista: De Vladar H, Barton NH. 2014. Stability and response of polygenic traits to
    stabilizing selection and mutation. Genetics. 197(2), 749–767.
  mla: De Vladar, Harold, and Nicholas H. Barton. “Stability and Response of Polygenic
    Traits to Stabilizing Selection and Mutation.” <i>Genetics</i>, vol. 197, no.
    2, Genetics Society of America, 2014, pp. 749–67, doi:<a href="https://doi.org/10.1534/genetics.113.159111">10.1534/genetics.113.159111</a>.
  short: H. De Vladar, N.H. Barton, Genetics 197 (2014) 749–767.
date_created: 2018-12-11T11:56:08Z
date_published: 2014-06-01T00:00:00Z
date_updated: 2021-01-12T06:55:47Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.113.159111
ec_funded: 1
intvolume: '       197'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1404.1017
month: '06'
oa: 1
oa_version: Submitted Version
page: 749 - 767
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '4809'
quality_controlled: '1'
scopus_import: 1
status: public
title: Stability and response of polygenic traits to stabilizing selection and mutation
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 197
year: '2014'
...
---
_id: '2175'
abstract:
- lang: eng
  text: The cerebral cortex, the seat of our cognitive abilities, is composed of an
    intricate network of billions of excitatory projection and inhibitory interneurons.
    Postmitotic cortical neurons are generated by a diverse set of neural stem cell
    progenitors within dedicated zones and defined periods of neurogenesis during
    embryonic development. Disruptions in neurogenesis can lead to alterations in
    the neuronal cytoarchitecture, which is thought to represent a major underlying
    cause for several neurological disorders, including microcephaly, autism and epilepsy.
    Although a number of signaling pathways regulating neurogenesis have been described,
    the precise cellular and molecular mechanisms regulating the functional neural
    stem cell properties in cortical neurogenesis remain unclear. Here, we discuss
    the most up-to-date strategies to monitor the fundamental mechanistic parameters
    of neuronal progenitor proliferation, and recent advances deciphering the logic
    and dynamics of neurogenesis.
article_processing_charge: No
author:
- first_name: Maria P
  full_name: Postiglione, Maria P
  id: 2C67902A-F248-11E8-B48F-1D18A9856A87
  last_name: Postiglione
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
citation:
  ama: 'Postiglione MP, Hippenmeyer S. Monitoring neurogenesis in the cerebral cortex:
    an update. <i>Future Neurology</i>. 2014;9(3):323-340. doi:<a href="https://doi.org/10.2217/fnl.14.18">10.2217/fnl.14.18</a>'
  apa: 'Postiglione, M. P., &#38; Hippenmeyer, S. (2014). Monitoring neurogenesis
    in the cerebral cortex: an update. <i>Future Neurology</i>. Future Science Group.
    <a href="https://doi.org/10.2217/fnl.14.18">https://doi.org/10.2217/fnl.14.18</a>'
  chicago: 'Postiglione, Maria P, and Simon Hippenmeyer. “Monitoring Neurogenesis
    in the Cerebral Cortex: An Update.” <i>Future Neurology</i>. Future Science Group,
    2014. <a href="https://doi.org/10.2217/fnl.14.18">https://doi.org/10.2217/fnl.14.18</a>.'
  ieee: 'M. P. Postiglione and S. Hippenmeyer, “Monitoring neurogenesis in the cerebral
    cortex: an update,” <i>Future Neurology</i>, vol. 9, no. 3. Future Science Group,
    pp. 323–340, 2014.'
  ista: 'Postiglione MP, Hippenmeyer S. 2014. Monitoring neurogenesis in the cerebral
    cortex: an update. Future Neurology. 9(3), 323–340.'
  mla: 'Postiglione, Maria P., and Simon Hippenmeyer. “Monitoring Neurogenesis in
    the Cerebral Cortex: An Update.” <i>Future Neurology</i>, vol. 9, no. 3, Future
    Science Group, 2014, pp. 323–40, doi:<a href="https://doi.org/10.2217/fnl.14.18">10.2217/fnl.14.18</a>.'
  short: M.P. Postiglione, S. Hippenmeyer, Future Neurology 9 (2014) 323–340.
date_created: 2018-12-11T11:56:09Z
date_published: 2014-05-01T00:00:00Z
date_updated: 2023-10-17T08:34:27Z
day: '01'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.2217/fnl.14.18
ec_funded: 1
file:
- access_level: open_access
  checksum: ba06659ecadabceec9a37dd8c4586dce
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:10:25Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '4812'
  file_name: IST-2016-528-v1+1_fnl.14.18.pdf
  file_size: 3848424
  relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '         9'
issue: '3'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 323 - 340
project:
- _id: 25D61E48-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '618444'
  name: Molecular Mechanisms of Cerebral Cortex Development
publication: Future Neurology
publication_identifier:
  eissn:
  - 1748-6971
  issn:
  - 1479-6708
publication_status: published
publisher: Future Science Group
publist_id: '4806'
pubrep_id: '528'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Monitoring neurogenesis in the cerebral cortex: an update'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2014'
...
---
_id: '2176'
abstract:
- lang: eng
  text: Electron microscopy (EM) allows for the simultaneous visualization of all
    tissue components at high resolution. However, the extent to which conventional
    aldehyde fixation and ethanol dehydration of the tissue alter the fine structure
    of cells and organelles, thereby preventing detection of subtle structural changes
    induced by an experiment, has remained an issue. Attempts have been made to rapidly
    freeze tissue to preserve native ultrastructure. Shock-freezing of living tissue
    under high pressure (high-pressure freezing, HPF) followed by cryosubstitution
    of the tissue water avoids aldehyde fixation and dehydration in ethanol; the tissue
    water is immobilized in â ̂1/450 ms, and a close-to-native fine structure of cells,
    organelles and molecules is preserved. Here we describe a protocol for HPF that
    is useful to monitor ultrastructural changes associated with functional changes
    at synapses in the brain but can be applied to many other tissues as well. The
    procedure requires a high-pressure freezer and takes a minimum of 7 d but can
    be paused at several points.
author:
- first_name: Daniel
  full_name: Studer, Daniel
  last_name: Studer
- first_name: Shanting
  full_name: Zhao, Shanting
  last_name: Zhao
- first_name: Xuejun
  full_name: Chai, Xuejun
  last_name: Chai
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
- first_name: Werner
  full_name: Graber, Werner
  last_name: Graber
- first_name: Sigrun
  full_name: Nestel, Sigrun
  last_name: Nestel
- first_name: Michael
  full_name: Frotscher, Michael
  last_name: Frotscher
citation:
  ama: Studer D, Zhao S, Chai X, et al. Capture of activity-induced ultrastructural
    changes at synapses by high-pressure freezing of brain tissue. <i>Nature Protocols</i>.
    2014;9(6):1480-1495. doi:<a href="https://doi.org/10.1038/nprot.2014.099">10.1038/nprot.2014.099</a>
  apa: Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., &#38;
    Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses
    by high-pressure freezing of brain tissue. <i>Nature Protocols</i>. Nature Publishing
    Group. <a href="https://doi.org/10.1038/nprot.2014.099">https://doi.org/10.1038/nprot.2014.099</a>
  chicago: Studer, Daniel, Shanting Zhao, Xuejun Chai, Peter M Jonas, Werner Graber,
    Sigrun Nestel, and Michael Frotscher. “Capture of Activity-Induced Ultrastructural
    Changes at Synapses by High-Pressure Freezing of Brain Tissue.” <i>Nature Protocols</i>.
    Nature Publishing Group, 2014. <a href="https://doi.org/10.1038/nprot.2014.099">https://doi.org/10.1038/nprot.2014.099</a>.
  ieee: D. Studer <i>et al.</i>, “Capture of activity-induced ultrastructural changes
    at synapses by high-pressure freezing of brain tissue,” <i>Nature Protocols</i>,
    vol. 9, no. 6. Nature Publishing Group, pp. 1480–1495, 2014.
  ista: Studer D, Zhao S, Chai X, Jonas PM, Graber W, Nestel S, Frotscher M. 2014.
    Capture of activity-induced ultrastructural changes at synapses by high-pressure
    freezing of brain tissue. Nature Protocols. 9(6), 1480–1495.
  mla: Studer, Daniel, et al. “Capture of Activity-Induced Ultrastructural Changes
    at Synapses by High-Pressure Freezing of Brain Tissue.” <i>Nature Protocols</i>,
    vol. 9, no. 6, Nature Publishing Group, 2014, pp. 1480–95, doi:<a href="https://doi.org/10.1038/nprot.2014.099">10.1038/nprot.2014.099</a>.
  short: D. Studer, S. Zhao, X. Chai, P.M. Jonas, W. Graber, S. Nestel, M. Frotscher,
    Nature Protocols 9 (2014) 1480–1495.
date_created: 2018-12-11T11:56:09Z
date_published: 2014-05-29T00:00:00Z
date_updated: 2021-01-12T06:55:47Z
day: '29'
department:
- _id: PeJo
doi: 10.1038/nprot.2014.099
intvolume: '         9'
issue: '6'
language:
- iso: eng
month: '05'
oa_version: None
page: 1480 - 1495
project:
- _id: 25BDE9A4-B435-11E9-9278-68D0E5697425
  grant_number: SFB-TR3-TP10B
  name: Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen
publication: Nature Protocols
publication_status: published
publisher: Nature Publishing Group
publist_id: '4807'
quality_controlled: '1'
scopus_import: 1
status: public
title: Capture of activity-induced ultrastructural changes at synapses by high-pressure
  freezing of brain tissue
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2014'
...
---
_id: '2177'
abstract:
- lang: eng
  text: We give evidence for the difficulty of computing Betti numbers of simplicial
    complexes over a finite field. We do this by reducing the rank computation for
    sparse matrices with to non-zero entries to computing Betti numbers of simplicial
    complexes consisting of at most a constant times to simplices. Together with the
    known reduction in the other direction, this implies that the two problems have
    the same computational complexity.
author:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Salman
  full_name: Parsa, Salman
  id: 4BDBD4F2-F248-11E8-B48F-1D18A9856A87
  last_name: Parsa
citation:
  ama: 'Edelsbrunner H, Parsa S. On the computational complexity of betti numbers
    reductions from matrix rank. In: <i>Proceedings of the Annual ACM-SIAM Symposium
    on Discrete Algorithms</i>. SIAM; 2014:152-160. doi:<a href="https://doi.org/10.1137/1.9781611973402.11">10.1137/1.9781611973402.11</a>'
  apa: 'Edelsbrunner, H., &#38; Parsa, S. (2014). On the computational complexity
    of betti numbers reductions from matrix rank. In <i>Proceedings of the Annual
    ACM-SIAM Symposium on Discrete Algorithms</i> (pp. 152–160). Portland, USA: SIAM.
    <a href="https://doi.org/10.1137/1.9781611973402.11">https://doi.org/10.1137/1.9781611973402.11</a>'
  chicago: Edelsbrunner, Herbert, and Salman Parsa. “On the Computational Complexity
    of Betti Numbers Reductions from Matrix Rank.” In <i>Proceedings of the Annual
    ACM-SIAM Symposium on Discrete Algorithms</i>, 152–60. SIAM, 2014. <a href="https://doi.org/10.1137/1.9781611973402.11">https://doi.org/10.1137/1.9781611973402.11</a>.
  ieee: H. Edelsbrunner and S. Parsa, “On the computational complexity of betti numbers
    reductions from matrix rank,” in <i>Proceedings of the Annual ACM-SIAM Symposium
    on Discrete Algorithms</i>, Portland, USA, 2014, pp. 152–160.
  ista: 'Edelsbrunner H, Parsa S. 2014. On the computational complexity of betti numbers
    reductions from matrix rank. Proceedings of the Annual ACM-SIAM Symposium on Discrete
    Algorithms. SODA: Symposium on Discrete Algorithms, 152–160.'
  mla: Edelsbrunner, Herbert, and Salman Parsa. “On the Computational Complexity of
    Betti Numbers Reductions from Matrix Rank.” <i>Proceedings of the Annual ACM-SIAM
    Symposium on Discrete Algorithms</i>, SIAM, 2014, pp. 152–60, doi:<a href="https://doi.org/10.1137/1.9781611973402.11">10.1137/1.9781611973402.11</a>.
  short: H. Edelsbrunner, S. Parsa, in:, Proceedings of the Annual ACM-SIAM Symposium
    on Discrete Algorithms, SIAM, 2014, pp. 152–160.
conference:
  end_date: 2014-01-07
  location: Portland, USA
  name: 'SODA: Symposium on Discrete Algorithms'
  start_date: 2014-01-05
date_created: 2018-12-11T11:56:09Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2021-01-12T06:55:48Z
day: '01'
department:
- _id: HeEd
doi: 10.1137/1.9781611973402.11
language:
- iso: eng
month: '01'
oa_version: None
page: 152 - 160
publication: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
publication_status: published
publisher: SIAM
publist_id: '4805'
quality_controlled: '1'
scopus_import: 1
status: public
title: On the computational complexity of betti numbers reductions from matrix rank
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '2178'
abstract:
- lang: eng
  text: We consider the three-state toric homogeneous Markov chain model (THMC) without
    loops and initial parameters. At time T, the size of the design matrix is 6 ×
    3 · 2T-1 and the convex hull of its columns is the model polytope. We study the
    behavior of this polytope for T ≥ 3 and we show that it is defined by 24 facets
    for all T ≥ 5. Moreover, we give a complete description of these facets. From
    this, we deduce that the toric ideal associated with the design matrix is generated
    by binomials of degree at most 6. Our proof is based on a result due to Sturmfels,
    who gave a bound on the degree of the generators of a toric ideal, provided the
    normality of the corresponding toric variety. In our setting, we established the
    normality of the toric variety associated to the THMC model by studying the geometric
    properties of the model polytope.
acknowledgement: Research of Martín del Campo supported in part by NSF Grant DMS-915211.
author:
- first_name: David
  full_name: Haws, David
  last_name: Haws
- first_name: Abraham
  full_name: Martin Del Campo Sanchez, Abraham
  id: 4CF47F6A-F248-11E8-B48F-1D18A9856A87
  last_name: Martin Del Campo Sanchez
- first_name: Akimichi
  full_name: Takemura, Akimichi
  last_name: Takemura
- first_name: Ruriko
  full_name: Yoshida, Ruriko
  last_name: Yoshida
citation:
  ama: Haws D, Martin del Campo Sanchez A, Takemura A, Yoshida R. Markov degree of
    the three-state toric homogeneous Markov chain model. <i>Beitrage zur Algebra
    und Geometrie</i>. 2014;55(1):161-188. doi:<a href="https://doi.org/10.1007/s13366-013-0178-y">10.1007/s13366-013-0178-y</a>
  apa: Haws, D., Martin del Campo Sanchez, A., Takemura, A., &#38; Yoshida, R. (2014).
    Markov degree of the three-state toric homogeneous Markov chain model. <i>Beitrage
    Zur Algebra Und Geometrie</i>. Springer. <a href="https://doi.org/10.1007/s13366-013-0178-y">https://doi.org/10.1007/s13366-013-0178-y</a>
  chicago: Haws, David, Abraham Martin del Campo Sanchez, Akimichi Takemura, and Ruriko
    Yoshida. “Markov Degree of the Three-State Toric Homogeneous Markov Chain Model.”
    <i>Beitrage Zur Algebra Und Geometrie</i>. Springer, 2014. <a href="https://doi.org/10.1007/s13366-013-0178-y">https://doi.org/10.1007/s13366-013-0178-y</a>.
  ieee: D. Haws, A. Martin del Campo Sanchez, A. Takemura, and R. Yoshida, “Markov
    degree of the three-state toric homogeneous Markov chain model,” <i>Beitrage zur
    Algebra und Geometrie</i>, vol. 55, no. 1. Springer, pp. 161–188, 2014.
  ista: Haws D, Martin del Campo Sanchez A, Takemura A, Yoshida R. 2014. Markov degree
    of the three-state toric homogeneous Markov chain model. Beitrage zur Algebra
    und Geometrie. 55(1), 161–188.
  mla: Haws, David, et al. “Markov Degree of the Three-State Toric Homogeneous Markov
    Chain Model.” <i>Beitrage Zur Algebra Und Geometrie</i>, vol. 55, no. 1, Springer,
    2014, pp. 161–88, doi:<a href="https://doi.org/10.1007/s13366-013-0178-y">10.1007/s13366-013-0178-y</a>.
  short: D. Haws, A. Martin del Campo Sanchez, A. Takemura, R. Yoshida, Beitrage Zur
    Algebra Und Geometrie 55 (2014) 161–188.
date_created: 2018-12-11T11:56:10Z
date_published: 2014-03-01T00:00:00Z
date_updated: 2021-01-12T06:55:48Z
day: '01'
department:
- _id: CaUh
doi: 10.1007/s13366-013-0178-y
intvolume: '        55'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1204.3070
month: '03'
oa: 1
oa_version: Submitted Version
page: 161 - 188
publication: Beitrage zur Algebra und Geometrie
publication_status: published
publisher: Springer
publist_id: '4804'
quality_controlled: '1'
scopus_import: 1
status: public
title: Markov degree of the three-state toric homogeneous Markov chain model
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 55
year: '2014'
...
---
_id: '2179'
abstract:
- lang: eng
  text: We extend the proof of the local semicircle law for generalized Wigner matrices
    given in MR3068390 to the case when the matrix of variances has an eigenvalue
    -1. In particular, this result provides a short proof of the optimal local Marchenko-Pastur
    law at the hard edge (i.e. around zero) for sample covariance matrices X*X, where
    the variances of the entries of X may vary.
author:
- first_name: Oskari H
  full_name: Ajanki, Oskari H
  id: 36F2FB7E-F248-11E8-B48F-1D18A9856A87
  last_name: Ajanki
- first_name: László
  full_name: Erdös, László
  id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
  last_name: Erdös
  orcid: 0000-0001-5366-9603
- first_name: Torben H
  full_name: Krüger, Torben H
  id: 3020C786-F248-11E8-B48F-1D18A9856A87
  last_name: Krüger
  orcid: 0000-0002-4821-3297
citation:
  ama: Ajanki OH, Erdös L, Krüger TH. Local semicircle law with imprimitive variance
    matrix. <i>Electronic Communications in Probability</i>. 2014;19. doi:<a href="https://doi.org/10.1214/ECP.v19-3121">10.1214/ECP.v19-3121</a>
  apa: Ajanki, O. H., Erdös, L., &#38; Krüger, T. H. (2014). Local semicircle law
    with imprimitive variance matrix. <i>Electronic Communications in Probability</i>.
    Institute of Mathematical Statistics. <a href="https://doi.org/10.1214/ECP.v19-3121">https://doi.org/10.1214/ECP.v19-3121</a>
  chicago: Ajanki, Oskari H, László Erdös, and Torben H Krüger. “Local Semicircle
    Law with Imprimitive Variance Matrix.” <i>Electronic Communications in Probability</i>.
    Institute of Mathematical Statistics, 2014. <a href="https://doi.org/10.1214/ECP.v19-3121">https://doi.org/10.1214/ECP.v19-3121</a>.
  ieee: O. H. Ajanki, L. Erdös, and T. H. Krüger, “Local semicircle law with imprimitive
    variance matrix,” <i>Electronic Communications in Probability</i>, vol. 19. Institute
    of Mathematical Statistics, 2014.
  ista: Ajanki OH, Erdös L, Krüger TH. 2014. Local semicircle law with imprimitive
    variance matrix. Electronic Communications in Probability. 19.
  mla: Ajanki, Oskari H., et al. “Local Semicircle Law with Imprimitive Variance Matrix.”
    <i>Electronic Communications in Probability</i>, vol. 19, Institute of Mathematical
    Statistics, 2014, doi:<a href="https://doi.org/10.1214/ECP.v19-3121">10.1214/ECP.v19-3121</a>.
  short: O.H. Ajanki, L. Erdös, T.H. Krüger, Electronic Communications in Probability
    19 (2014).
date_created: 2018-12-11T11:56:10Z
date_published: 2014-06-09T00:00:00Z
date_updated: 2021-01-12T06:55:48Z
day: '09'
ddc:
- '570'
department:
- _id: LaEr
doi: 10.1214/ECP.v19-3121
file:
- access_level: open_access
  checksum: bd8a041c76d62fe820bf73ff13ce7d1b
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:09:06Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '4729'
  file_name: IST-2016-426-v1+1_3121-17518-1-PB.pdf
  file_size: 327322
  relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '        19'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: Electronic Communications in Probability
publication_status: published
publisher: Institute of Mathematical Statistics
publist_id: '4803'
pubrep_id: '426'
quality_controlled: '1'
scopus_import: 1
status: public
title: Local semicircle law with imprimitive variance matrix
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: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2014'
...
---
_id: '2180'
abstract:
- lang: eng
  text: Weighted majority votes allow one to combine the output of several classifiers
    or voters. MinCq is a recent algorithm for optimizing the weight of each voter
    based on the minimization of a theoretical bound over the risk of the vote with
    elegant PAC-Bayesian generalization guarantees. However, while it has demonstrated
    good performance when combining weak classifiers, MinCq cannot make use of the
    useful a priori knowledge that one may have when using a mixture of weak and strong
    voters. In this paper, we propose P-MinCq, an extension of MinCq that can incorporate
    such knowledge in the form of a  constraint over the distribution of the weights,
    along with general proofs of convergence that stand in the sample compression
    setting for data-dependent voters. The approach is applied to a vote of k-NN classifiers
    with a specific modeling of the voters' performance. P-MinCq significantly outperforms
    the classic k-NN classifier, a symmetric NN and MinCq using the same voters. We
    show that it is also competitive with LMNN, a popular metric learning algorithm,
    and that combining both approaches further reduces the error.
acknowledgement: 'This work was funded by the French project SoLSTiCe ANR-13-BS02-01
  of the ANR. '
author:
- first_name: Aurélien
  full_name: Bellet, Aurélien
  last_name: Bellet
- first_name: Amaury
  full_name: Habrard, Amaury
  last_name: Habrard
- first_name: Emilie
  full_name: Morvant, Emilie
  id: 4BAC2A72-F248-11E8-B48F-1D18A9856A87
  last_name: Morvant
  orcid: 0000-0002-8301-7240
- first_name: Marc
  full_name: Sebban, Marc
  last_name: Sebban
citation:
  ama: Bellet A, Habrard A, Morvant E, Sebban M. Learning a priori constrained weighted
    majority votes. <i>Machine Learning</i>. 2014;97(1-2):129-154. doi:<a href="https://doi.org/10.1007/s10994-014-5462-z">10.1007/s10994-014-5462-z</a>
  apa: Bellet, A., Habrard, A., Morvant, E., &#38; Sebban, M. (2014). Learning a priori
    constrained weighted majority votes. <i>Machine Learning</i>. Springer. <a href="https://doi.org/10.1007/s10994-014-5462-z">https://doi.org/10.1007/s10994-014-5462-z</a>
  chicago: Bellet, Aurélien, Amaury Habrard, Emilie Morvant, and Marc Sebban. “Learning
    a Priori Constrained Weighted Majority Votes.” <i>Machine Learning</i>. Springer,
    2014. <a href="https://doi.org/10.1007/s10994-014-5462-z">https://doi.org/10.1007/s10994-014-5462-z</a>.
  ieee: A. Bellet, A. Habrard, E. Morvant, and M. Sebban, “Learning a priori constrained
    weighted majority votes,” <i>Machine Learning</i>, vol. 97, no. 1–2. Springer,
    pp. 129–154, 2014.
  ista: Bellet A, Habrard A, Morvant E, Sebban M. 2014. Learning a priori constrained
    weighted majority votes. Machine Learning. 97(1–2), 129–154.
  mla: Bellet, Aurélien, et al. “Learning a Priori Constrained Weighted Majority Votes.”
    <i>Machine Learning</i>, vol. 97, no. 1–2, Springer, 2014, pp. 129–54, doi:<a
    href="https://doi.org/10.1007/s10994-014-5462-z">10.1007/s10994-014-5462-z</a>.
  short: A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014)
    129–154.
date_created: 2018-12-11T11:56:10Z
date_published: 2014-10-01T00:00:00Z
date_updated: 2021-01-12T06:55:49Z
day: '01'
department:
- _id: ChLa
doi: 10.1007/s10994-014-5462-z
ec_funded: 1
intvolume: '        97'
issue: 1-2
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://hal.archives-ouvertes.fr/hal-01009578/document
month: '10'
oa: 1
oa_version: Submitted Version
page: 129 - 154
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication: Machine Learning
publication_status: published
publisher: Springer
publist_id: '4802'
quality_controlled: '1'
scopus_import: 1
status: public
title: Learning a priori constrained weighted majority votes
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2014'
...
---
_id: '2183'
abstract:
- lang: eng
  text: 'We describe a simple adaptive network of coupled chaotic maps. The network
    reaches a stationary state (frozen topology) for all values of the coupling parameter,
    although the dynamics of the maps at the nodes of the network can be nontrivial.
    The structure of the network shows interesting hierarchical properties and in
    certain parameter regions the dynamics is polysynchronous: Nodes can be divided
    in differently synchronized classes but, contrary to cluster synchronization,
    nodes in the same class need not be connected to each other. These complicated
    synchrony patterns have been conjectured to play roles in systems biology and
    circuits. The adaptive system we study describes ways whereby this behavior can
    evolve from undifferentiated nodes.'
acknowledgement: "V.B.S. is partially supported by contract MEC (Grant No. AYA2010-22111-C03-02).\r\n"
article_number: '062809'
article_processing_charge: No
author:
- first_name: Vicente
  full_name: Botella Soler, Vicente
  id: 421234E8-F248-11E8-B48F-1D18A9856A87
  last_name: Botella Soler
  orcid: 0000-0002-8790-1914
- first_name: Paul
  full_name: Glendinning, Paul
  last_name: Glendinning
citation:
  ama: Botella Soler V, Glendinning P. Hierarchy and polysynchrony in an adaptive
    network . <i>Physical Review E Statistical Nonlinear and Soft Matter Physics</i>.
    2014;89(6). doi:<a href="https://doi.org/10.1103/PhysRevE.89.062809">10.1103/PhysRevE.89.062809</a>
  apa: Botella Soler, V., &#38; Glendinning, P. (2014). Hierarchy and polysynchrony
    in an adaptive network . <i>Physical Review E Statistical Nonlinear and Soft Matter
    Physics</i>. American Institute of Physics. <a href="https://doi.org/10.1103/PhysRevE.89.062809">https://doi.org/10.1103/PhysRevE.89.062809</a>
  chicago: Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony
    in an Adaptive Network .” <i>Physical Review E Statistical Nonlinear and Soft
    Matter Physics</i>. American Institute of Physics, 2014. <a href="https://doi.org/10.1103/PhysRevE.89.062809">https://doi.org/10.1103/PhysRevE.89.062809</a>.
  ieee: V. Botella Soler and P. Glendinning, “Hierarchy and polysynchrony in an adaptive
    network ,” <i>Physical Review E Statistical Nonlinear and Soft Matter Physics</i>,
    vol. 89, no. 6. American Institute of Physics, 2014.
  ista: Botella Soler V, Glendinning P. 2014. Hierarchy and polysynchrony in an adaptive
    network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(6),
    062809.
  mla: Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony
    in an Adaptive Network .” <i>Physical Review E Statistical Nonlinear and Soft
    Matter Physics</i>, vol. 89, no. 6, 062809, American Institute of Physics, 2014,
    doi:<a href="https://doi.org/10.1103/PhysRevE.89.062809">10.1103/PhysRevE.89.062809</a>.
  short: V. Botella Soler, P. Glendinning, Physical Review E Statistical Nonlinear
    and Soft Matter Physics 89 (2014).
date_created: 2018-12-11T11:56:11Z
date_published: 2014-06-16T00:00:00Z
date_updated: 2022-08-25T14:04:45Z
day: '16'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.89.062809
ec_funded: 1
intvolume: '        89'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1403.3209
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '4798'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Hierarchy and polysynchrony in an adaptive network '
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 89
year: '2014'
...
---
_id: '2184'
abstract:
- lang: eng
  text: 'Given topological spaces X,Y, a fundamental problem of algebraic topology
    is understanding the structure of all continuous maps X→ Y. We consider a computational
    version, where X,Y are given as finite simplicial complexes, and the goal is to
    compute [X,Y], that is, all homotopy classes of suchmaps.We solve this problem
    in the stable range, where for some d ≥ 2, we have dim X ≤ 2d-2 and Y is (d-1)-connected;
    in particular, Y can be the d-dimensional sphere Sd. The algorithm combines classical
    tools and ideas from homotopy theory (obstruction theory, Postnikov systems, and
    simplicial sets) with algorithmic tools from effective algebraic topology (locally
    effective simplicial sets and objects with effective homology). In contrast, [X,Y]
    is known to be uncomputable for general X,Y, since for X = S1 it includes a well
    known undecidable problem: testing triviality of the fundamental group of Y. In
    follow-up papers, the algorithm is shown to run in polynomial time for d fixed,
    and extended to other problems, such as the extension problem, where we are given
    a subspace A ⊂ X and a map A→ Y and ask whether it extends to a map X → Y, or
    computing the Z2-index-everything in the stable range. Outside the stable range,
    the extension problem is undecidable.'
acknowledgement: The research by M. K. was supported by project GAUK 49209. The research
  by M. K. was also supported by project 1M0545 by the Ministry of Education of the
  Czech Republic and by Center of Excellence { Inst. for Theor. Comput. Sci., Prague
  (project P202/12/G061 of GACR). The research by U. W. was supported by the Swiss
  National Science Foundation (SNF Projects 200021-125309, 200020-138230, and PP00P2-138948).
article_number: '17 '
author:
- first_name: Martin
  full_name: Čadek, Martin
  last_name: Čadek
- first_name: Marek
  full_name: Krcál, Marek
  id: 33E21118-F248-11E8-B48F-1D18A9856A87
  last_name: Krcál
- first_name: Jiří
  full_name: Matoušek, Jiří
  last_name: Matoušek
- first_name: Francis
  full_name: Sergeraert, Francis
  last_name: Sergeraert
- first_name: Lukáš
  full_name: Vokřínek, Lukáš
  last_name: Vokřínek
- first_name: Uli
  full_name: Wagner, Uli
  id: 36690CA2-F248-11E8-B48F-1D18A9856A87
  last_name: Wagner
  orcid: 0000-0002-1494-0568
citation:
  ama: Čadek M, Krcál M, Matoušek J, Sergeraert F, Vokřínek L, Wagner U. Computing
    all maps into a sphere. <i>Journal of the ACM</i>. 2014;61(3). doi:<a href="https://doi.org/10.1145/2597629">10.1145/2597629</a>
  apa: Čadek, M., Krcál, M., Matoušek, J., Sergeraert, F., Vokřínek, L., &#38; Wagner,
    U. (2014). Computing all maps into a sphere. <i>Journal of the ACM</i>. ACM. <a
    href="https://doi.org/10.1145/2597629">https://doi.org/10.1145/2597629</a>
  chicago: Čadek, Martin, Marek Krcál, Jiří Matoušek, Francis Sergeraert, Lukáš Vokřínek,
    and Uli Wagner. “Computing All Maps into a Sphere.” <i>Journal of the ACM</i>.
    ACM, 2014. <a href="https://doi.org/10.1145/2597629">https://doi.org/10.1145/2597629</a>.
  ieee: M. Čadek, M. Krcál, J. Matoušek, F. Sergeraert, L. Vokřínek, and U. Wagner,
    “Computing all maps into a sphere,” <i>Journal of the ACM</i>, vol. 61, no. 3.
    ACM, 2014.
  ista: Čadek M, Krcál M, Matoušek J, Sergeraert F, Vokřínek L, Wagner U. 2014. Computing
    all maps into a sphere. Journal of the ACM. 61(3), 17.
  mla: Čadek, Martin, et al. “Computing All Maps into a Sphere.” <i>Journal of the
    ACM</i>, vol. 61, no. 3, 17, ACM, 2014, doi:<a href="https://doi.org/10.1145/2597629">10.1145/2597629</a>.
  short: M. Čadek, M. Krcál, J. Matoušek, F. Sergeraert, L. Vokřínek, U. Wagner, Journal
    of the ACM 61 (2014).
date_created: 2018-12-11T11:56:12Z
date_published: 2014-05-01T00:00:00Z
date_updated: 2021-01-12T06:55:50Z
day: '01'
department:
- _id: UlWa
- _id: HeEd
doi: 10.1145/2597629
intvolume: '        61'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1105.6257
month: '05'
oa: 1
oa_version: Preprint
publication: Journal of the ACM
publication_status: published
publisher: ACM
publist_id: '4797'
quality_controlled: '1'
scopus_import: 1
status: public
title: Computing all maps into a sphere
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 61
year: '2014'
...
---
_id: '2185'
abstract:
- lang: eng
  text: 'We revisit the classical problem of converting an imperfect source of randomness
    into a usable cryptographic key. Assume that we have some cryptographic application
    P that expects a uniformly random m-bit key R and ensures that the best attack
    (in some complexity class) against P(R) has success probability at most δ. Our
    goal is to design a key-derivation function (KDF) h that converts any random source
    X of min-entropy k into a sufficiently &quot;good&quot; key h(X), guaranteeing
    that P(h(X)) has comparable security δ′ which is ''close'' to δ. Seeded randomness
    extractors provide a generic way to solve this problem for all applications P,
    with resulting security δ′ = O(δ), provided that we start with entropy k ≥ m +
    2 log (1/δ) - O(1). By a result of Radhakrishnan and Ta-Shma, this bound on k
    (called the &quot;RT-bound&quot;) is also known to be tight in general. Unfortunately,
    in many situations the loss of 2 log (1/δ) bits of entropy is unacceptable. This
    motivates the study KDFs with less entropy waste by placing some restrictions
    on the source X or the application P. In this work we obtain the following new
    positive and negative results in this regard: - Efficient samplability of the
    source X does not help beat the RT-bound for general applications. This resolves
    the SRT (samplable RT) conjecture of Dachman-Soled et al. [DGKM12] in the affirmative,
    and also shows that the existence of computationally-secure extractors beating
    the RT-bound implies the existence of one-way functions. - We continue in the
    line of work initiated by Barak et al. [BDK+11] and construct new information-theoretic
    KDFs which beat the RT-bound for large but restricted classes of applications.
    Specifically, we design efficient KDFs that work for all unpredictability applications
    P (e.g., signatures, MACs, one-way functions, etc.) and can either: (1) extract
    all of the entropy k = m with a very modest security loss δ′ = O(δ·log (1/δ)),
    or alternatively, (2) achieve essentially optimal security δ′ = O(δ) with a very
    modest entropy loss k ≥ m + loglog (1/δ). In comparison, the best prior results
    from [BDK+11] for this class of applications would only guarantee δ′ = O(√δ) when
    k = m, and would need k ≥ m + log (1/δ) to get δ′ = O(δ). - The weaker bounds
    of [BDK+11] hold for a larger class of so-called &quot;square- friendly&quot;
    applications (which includes all unpredictability, but also some important indistinguishability,
    applications). Unfortunately, we show that these weaker bounds are tight for the
    larger class of applications. - We abstract out a clean, information-theoretic
    notion of (k,δ,δ′)- unpredictability extractors, which guarantee &quot;induced&quot;
    security δ′ for any δ-secure unpredictability application P, and characterize
    the parameters achievable for such unpredictability extractors. Of independent
    interest, we also relate this notion to the previously-known notion of (min-entropy)
    condensers, and improve the state-of-the-art parameters for such condensers.'
alternative_title:
- LNCS
author:
- first_name: Yevgeniy
  full_name: Dodis, Yevgeniy
  last_name: Dodis
- first_name: Krzysztof Z
  full_name: Pietrzak, Krzysztof Z
  id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
  last_name: Pietrzak
  orcid: 0000-0002-9139-1654
- first_name: Daniel
  full_name: Wichs, Daniel
  last_name: Wichs
citation:
  ama: 'Dodis Y, Pietrzak KZ, Wichs D. Key derivation without entropy waste. In: Nguyen
    P, Oswald E, eds. Vol 8441. Springer; 2014:93-110. doi:<a href="https://doi.org/10.1007/978-3-642-55220-5_6">10.1007/978-3-642-55220-5_6</a>'
  apa: 'Dodis, Y., Pietrzak, K. Z., &#38; Wichs, D. (2014). Key derivation without
    entropy waste. In P. Nguyen &#38; E. Oswald (Eds.) (Vol. 8441, pp. 93–110). Presented
    at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Copenhagen,
    Denmark: Springer. <a href="https://doi.org/10.1007/978-3-642-55220-5_6">https://doi.org/10.1007/978-3-642-55220-5_6</a>'
  chicago: Dodis, Yevgeniy, Krzysztof Z Pietrzak, and Daniel Wichs. “Key Derivation
    without Entropy Waste.” edited by Phong Nguyen and Elisabeth Oswald, 8441:93–110.
    Springer, 2014. <a href="https://doi.org/10.1007/978-3-642-55220-5_6">https://doi.org/10.1007/978-3-642-55220-5_6</a>.
  ieee: 'Y. Dodis, K. Z. Pietrzak, and D. Wichs, “Key derivation without entropy waste,”
    presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques,
    Copenhagen, Denmark, 2014, vol. 8441, pp. 93–110.'
  ista: 'Dodis Y, Pietrzak KZ, Wichs D. 2014. Key derivation without entropy waste.
    EUROCRYPT: Theory and Applications of Cryptographic Techniques, LNCS, vol. 8441,
    93–110.'
  mla: Dodis, Yevgeniy, et al. <i>Key Derivation without Entropy Waste</i>. Edited
    by Phong Nguyen and Elisabeth Oswald, vol. 8441, Springer, 2014, pp. 93–110, doi:<a
    href="https://doi.org/10.1007/978-3-642-55220-5_6">10.1007/978-3-642-55220-5_6</a>.
  short: Y. Dodis, K.Z. Pietrzak, D. Wichs, in:, P. Nguyen, E. Oswald (Eds.), Springer,
    2014, pp. 93–110.
conference:
  end_date: 2014-05-15
  location: Copenhagen, Denmark
  name: 'EUROCRYPT: Theory and Applications of Cryptographic Techniques'
  start_date: 2014-05-11
date_created: 2018-12-11T11:56:12Z
date_published: 2014-04-01T00:00:00Z
date_updated: 2021-01-12T06:55:51Z
day: '01'
ddc:
- '000'
- '004'
department:
- _id: KrPi
doi: 10.1007/978-3-642-55220-5_6
editor:
- first_name: Phong
  full_name: Nguyen, Phong
  last_name: Nguyen
- first_name: Elisabeth
  full_name: Oswald, Elisabeth
  last_name: Oswald
file:
- access_level: open_access
  checksum: da1aa01221086083b23c92e547b48ff4
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:08:43Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '4705'
  file_name: IST-2016-680-v1+1_708.pdf
  file_size: 505389
  relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '      8441'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Submitted Version
page: 93 - 110
publication_status: published
publisher: Springer
publist_id: '4795'
pubrep_id: '680'
quality_controlled: '1'
scopus_import: 1
status: public
title: Key derivation without entropy waste
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 8441
year: '2014'
...
---
_id: '2186'
abstract:
- lang: eng
  text: We prove the existence of scattering states for the defocusing cubic Gross-Pitaevskii
    (GP) hierarchy in ℝ3. Moreover, we show that an exponential energy growth condition
    commonly used in the well-posedness theory of the GP hierarchy is, in a specific
    sense, necessary. In fact, we prove that without the latter, there exist initial
    data for the focusing cubic GP hierarchy for which instantaneous blowup occurs.
author:
- first_name: Thomas
  full_name: Chen, Thomas
  last_name: Chen
- first_name: Christian
  full_name: Hainzl, Christian
  last_name: Hainzl
- first_name: Nataša
  full_name: Pavlović, Nataša
  last_name: Pavlović
- first_name: Robert
  full_name: Seiringer, Robert
  id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
  last_name: Seiringer
  orcid: 0000-0002-6781-0521
citation:
  ama: Chen T, Hainzl C, Pavlović N, Seiringer R. On the well-posedness and scattering
    for the Gross-Pitaevskii hierarchy via quantum de Finetti. <i>Letters in Mathematical
    Physics</i>. 2014;104(7):871-891. doi:<a href="https://doi.org/10.1007/s11005-014-0693-2">10.1007/s11005-014-0693-2</a>
  apa: Chen, T., Hainzl, C., Pavlović, N., &#38; Seiringer, R. (2014). On the well-posedness
    and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti. <i>Letters
    in Mathematical Physics</i>. Springer. <a href="https://doi.org/10.1007/s11005-014-0693-2">https://doi.org/10.1007/s11005-014-0693-2</a>
  chicago: Chen, Thomas, Christian Hainzl, Nataša Pavlović, and Robert Seiringer.
    “On the Well-Posedness and Scattering for the Gross-Pitaevskii Hierarchy via Quantum
    de Finetti.” <i>Letters in Mathematical Physics</i>. Springer, 2014. <a href="https://doi.org/10.1007/s11005-014-0693-2">https://doi.org/10.1007/s11005-014-0693-2</a>.
  ieee: T. Chen, C. Hainzl, N. Pavlović, and R. Seiringer, “On the well-posedness
    and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti,” <i>Letters
    in Mathematical Physics</i>, vol. 104, no. 7. Springer, pp. 871–891, 2014.
  ista: Chen T, Hainzl C, Pavlović N, Seiringer R. 2014. On the well-posedness and
    scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti. Letters
    in Mathematical Physics. 104(7), 871–891.
  mla: Chen, Thomas, et al. “On the Well-Posedness and Scattering for the Gross-Pitaevskii
    Hierarchy via Quantum de Finetti.” <i>Letters in Mathematical Physics</i>, vol.
    104, no. 7, Springer, 2014, pp. 871–91, doi:<a href="https://doi.org/10.1007/s11005-014-0693-2">10.1007/s11005-014-0693-2</a>.
  short: T. Chen, C. Hainzl, N. Pavlović, R. Seiringer, Letters in Mathematical Physics
    104 (2014) 871–891.
date_created: 2018-12-11T11:56:12Z
date_published: 2014-05-07T00:00:00Z
date_updated: 2021-01-12T06:55:51Z
day: '07'
department:
- _id: RoSe
doi: 10.1007/s11005-014-0693-2
intvolume: '       104'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1311.2136
month: '05'
oa: 1
oa_version: Submitted Version
page: 871 - 891
project:
- _id: 26450934-B435-11E9-9278-68D0E5697425
  name: NSERC Postdoctoral fellowship
publication: Letters in Mathematical Physics
publication_status: published
publisher: Springer
publist_id: '4793'
quality_controlled: '1'
scopus_import: 1
status: public
title: On the well-posedness and scattering for the Gross-Pitaevskii hierarchy via
  quantum de Finetti
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 104
year: '2014'
...
---
_id: '2187'
abstract:
- lang: eng
  text: 'Systems should not only be correct but also robust in the sense that they
    behave reasonably in unexpected situations. This article addresses synthesis of
    robust reactive systems from temporal specifications. Existing methods allow arbitrary
    behavior if assumptions in the specification are violated. To overcome this, we
    define two robustness notions, combine them, and show how to enforce them in synthesis.
    The first notion applies to safety properties: If safety assumptions are violated
    temporarily, we require that the system recovers to normal operation with as few
    errors as possible. The second notion requires that, if liveness assumptions are
    violated, as many guarantees as possible should be fulfilled nevertheless. We
    present a synthesis procedure achieving this for the important class of GR(1)
    specifications, and establish complexity bounds. We also present an implementation
    of a special case of robustness, and show experimental results.'
article_processing_charge: No
article_type: original
author:
- first_name: Roderick
  full_name: Bloem, Roderick
  last_name: Bloem
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Karin
  full_name: Greimel, Karin
  last_name: Greimel
- 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: Georg
  full_name: Hofferek, Georg
  last_name: Hofferek
- first_name: Barbara
  full_name: Jobstmann, Barbara
  last_name: Jobstmann
- first_name: Bettina
  full_name: Könighofer, Bettina
  last_name: Könighofer
- first_name: Robert
  full_name: Könighofer, Robert
  last_name: Könighofer
citation:
  ama: Bloem R, Chatterjee K, Greimel K, et al. Synthesizing robust systems. <i>Acta
    Informatica</i>. 2014;51(3-4):193-220. doi:<a href="https://doi.org/10.1007/s00236-013-0191-5">10.1007/s00236-013-0191-5</a>
  apa: Bloem, R., Chatterjee, K., Greimel, K., Henzinger, T. A., Hofferek, G., Jobstmann,
    B., … Könighofer, R. (2014). Synthesizing robust systems. <i>Acta Informatica</i>.
    Springer. <a href="https://doi.org/10.1007/s00236-013-0191-5">https://doi.org/10.1007/s00236-013-0191-5</a>
  chicago: Bloem, Roderick, Krishnendu Chatterjee, Karin Greimel, Thomas A Henzinger,
    Georg Hofferek, Barbara Jobstmann, Bettina Könighofer, and Robert Könighofer.
    “Synthesizing Robust Systems.” <i>Acta Informatica</i>. Springer, 2014. <a href="https://doi.org/10.1007/s00236-013-0191-5">https://doi.org/10.1007/s00236-013-0191-5</a>.
  ieee: R. Bloem <i>et al.</i>, “Synthesizing robust systems,” <i>Acta Informatica</i>,
    vol. 51, no. 3–4. Springer, pp. 193–220, 2014.
  ista: Bloem R, Chatterjee K, Greimel K, Henzinger TA, Hofferek G, Jobstmann B, Könighofer
    B, Könighofer R. 2014. Synthesizing robust systems. Acta Informatica. 51(3–4),
    193–220.
  mla: Bloem, Roderick, et al. “Synthesizing Robust Systems.” <i>Acta Informatica</i>,
    vol. 51, no. 3–4, Springer, 2014, pp. 193–220, doi:<a href="https://doi.org/10.1007/s00236-013-0191-5">10.1007/s00236-013-0191-5</a>.
  short: R. Bloem, K. Chatterjee, K. Greimel, T.A. Henzinger, G. Hofferek, B. Jobstmann,
    B. Könighofer, R. Könighofer, Acta Informatica 51 (2014) 193–220.
date_created: 2018-12-11T11:56:13Z
date_published: 2014-06-01T00:00:00Z
date_updated: 2021-01-12T06:55:51Z
day: '01'
ddc:
- '621'
department:
- _id: KrCh
- _id: ToHe
doi: 10.1007/s00236-013-0191-5
ec_funded: 1
file:
- access_level: open_access
  checksum: d7f560f3d923f0f00aa10a0652f83273
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:16:44Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '5234'
  file_name: IST-2012-71-v1+1_Synthesizing_robust_systems.pdf
  file_size: 169523
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file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '        51'
issue: 3-4
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: 193 - 220
project:
- _id: 25F5A88A-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S11402-N23
  name: Moderne Concurrency Paradigms
- _id: 2584A770-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 23499-N23
  name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '279307'
  name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2587B514-B435-11E9-9278-68D0E5697425
  name: Microsoft Research Faculty Fellowship
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '267989'
  name: Quantitative Reactive Modeling
publication: Acta Informatica
publication_status: published
publisher: Springer
publist_id: '4787'
pubrep_id: '71'
quality_controlled: '1'
scopus_import: 1
status: public
title: Synthesizing robust systems
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 51
year: '2014'
...
---
_id: '2188'
abstract:
- lang: eng
  text: Although plant and animal cells use a similar core mechanism to deliver proteins
    to the plasma membrane, their different lifestyle, body organization and specific
    cell structures resulted in the acquisition of regulatory mechanisms that vary
    in the two kingdoms. In particular, cell polarity regulators do not seem to be
    conserved, because genes encoding key components are absent in plant genomes.
    In plants, the broad knowledge on polarity derives from the study of auxin transporters,
    the PIN-FORMED proteins, in the model plant Arabidopsis thaliana. In animals,
    much information is provided from the study of polarity in epithelial cells that
    exhibit basolateral and luminal apical polarities, separated by tight junctions.
    In this review, we summarize the similarities and differences of the polarization
    mechanisms between plants and animals and survey the main genetic approaches that
    have been used to characterize new genes involved in polarity establishment in
    plants, including the frequently used forward and reverse genetics screens as
    well as a novel chemical genetics approach that is expected to overcome the limitation
    of classical genetics methods.
acknowledgement: "This work was supported by a grant from the Research Foundation-Flanders
  (Odysseus).\r\n\r\n"
article_number: '140017'
author:
- first_name: Urszula
  full_name: Kania, Urszula
  id: 4AE5C486-F248-11E8-B48F-1D18A9856A87
  last_name: Kania
- first_name: Matyas
  full_name: Fendrych, Matyas
  last_name: Fendrych
- first_name: Jiřĺ
  full_name: Friml, Jiřĺ
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
citation:
  ama: Kania U, Fendrych M, Friml J. Polar delivery in plants; commonalities and differences
    to animal epithelial cells. <i>Open Biology</i>. 2014;4(APRIL). doi:<a href="https://doi.org/10.1098/rsob.140017">10.1098/rsob.140017</a>
  apa: Kania, U., Fendrych, M., &#38; Friml, J. (2014). Polar delivery in plants;
    commonalities and differences to animal epithelial cells. <i>Open Biology</i>.
    Royal Society. <a href="https://doi.org/10.1098/rsob.140017">https://doi.org/10.1098/rsob.140017</a>
  chicago: Kania, Urszula, Matyas Fendrych, and Jiří Friml. “Polar Delivery in Plants;
    Commonalities and Differences to Animal Epithelial Cells.” <i>Open Biology</i>.
    Royal Society, 2014. <a href="https://doi.org/10.1098/rsob.140017">https://doi.org/10.1098/rsob.140017</a>.
  ieee: U. Kania, M. Fendrych, and J. Friml, “Polar delivery in plants; commonalities
    and differences to animal epithelial cells,” <i>Open Biology</i>, vol. 4, no.
    APRIL. Royal Society, 2014.
  ista: Kania U, Fendrych M, Friml J. 2014. Polar delivery in plants; commonalities
    and differences to animal epithelial cells. Open Biology. 4(APRIL), 140017.
  mla: Kania, Urszula, et al. “Polar Delivery in Plants; Commonalities and Differences
    to Animal Epithelial Cells.” <i>Open Biology</i>, vol. 4, no. APRIL, 140017, Royal
    Society, 2014, doi:<a href="https://doi.org/10.1098/rsob.140017">10.1098/rsob.140017</a>.
  short: U. Kania, M. Fendrych, J. Friml, Open Biology 4 (2014).
date_created: 2018-12-11T11:56:13Z
date_published: 2014-04-16T00:00:00Z
date_updated: 2021-01-12T06:55:52Z
day: '16'
ddc:
- '570'
department:
- _id: JiFr
doi: 10.1098/rsob.140017
file:
- access_level: open_access
  checksum: 2020627feff36cf0799167c84149fa75
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:13:40Z
  date_updated: 2020-07-14T12:45:31Z
  file_id: '5025'
  file_name: IST-2016-441-v1+1_140017.full.pdf
  file_size: 682570
  relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: '         4'
issue: APRIL
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
publication: Open Biology
publication_status: published
publisher: Royal Society
publist_id: '4786'
pubrep_id: '441'
quality_controlled: '1'
scopus_import: 1
status: public
title: Polar delivery in plants; commonalities and differences to animal epithelial
  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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2014'
...
---
_id: '2189'
abstract:
- lang: fre
  text: En apprentissage automatique, nous parlons d'adaptation de domaine lorsque
    les données de test (cibles) et d'apprentissage (sources) sont générées selon
    différentes distributions. Nous devons donc développer des algorithmes de classification
    capables de s'adapter à une nouvelle distribution, pour laquelle aucune information
    sur les étiquettes n'est disponible. Nous attaquons cette problématique sous l'angle
    de l'approche PAC-Bayésienne qui se focalise sur l'apprentissage de modèles définis
    comme des votes de majorité sur un ensemble de fonctions. Dans ce contexte, nous
    introduisons PV-MinCq une version adaptative de l'algorithme (non adaptatif) MinCq.
    PV-MinCq suit le principe suivant. Nous transférons les étiquettes sources aux
    points cibles proches pour ensuite appliquer MinCq sur l'échantillon cible ``auto-étiqueté''
    (justifié par une borne théorique). Plus précisément, nous définissons un auto-étiquetage
    non itératif qui se focalise dans les régions où les distributions marginales
    source et cible sont les plus similaires. Dans un second temps, nous étudions
    l'influence de notre auto-étiquetage pour en déduire une procédure de validation
    des hyperparamètres. Finalement, notre approche montre des résultats empiriques
    prometteurs.
article_processing_charge: No
author:
- first_name: Emilie
  full_name: Morvant, Emilie
  id: 4BAC2A72-F248-11E8-B48F-1D18A9856A87
  last_name: Morvant
  orcid: 0000-0002-8301-7240
citation:
  ama: 'Morvant E. Adaptation de domaine de vote de majorité par auto-étiquetage non
    itératif. In: Vol 1. Elsevier; 2014:49-58.'
  apa: 'Morvant, E. (2014). Adaptation de domaine de vote de majorité par auto-étiquetage
    non itératif (Vol. 1, pp. 49–58). Presented at the CAP: Conférence Francophone
    sur l’Apprentissage Automatique (Machine Learning French Conference), Saint-Etienne,
    France: Elsevier.'
  chicago: Morvant, Emilie. “Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage
    Non Itératif,” 1:49–58. Elsevier, 2014.
  ieee: 'E. Morvant, “Adaptation de domaine de vote de majorité par auto-étiquetage
    non itératif,” presented at the CAP: Conférence Francophone sur l’Apprentissage
    Automatique (Machine Learning French Conference), Saint-Etienne, France, 2014,
    vol. 1, pp. 49–58.'
  ista: 'Morvant E. 2014. Adaptation de domaine de vote de majorité par auto-étiquetage
    non itératif. CAP: Conférence Francophone sur l’Apprentissage Automatique (Machine
    Learning French Conference) vol. 1, 49–58.'
  mla: Morvant, Emilie. <i>Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage
    Non Itératif</i>. Vol. 1, Elsevier, 2014, pp. 49–58.
  short: E. Morvant, in:, Elsevier, 2014, pp. 49–58.
conference:
  location: Saint-Etienne, France
  name: 'CAP: Conférence Francophone sur l''Apprentissage Automatique (Machine Learning
    French Conference)'
date_created: 2018-12-11T11:56:13Z
date_published: 2014-07-01T00:00:00Z
date_updated: 2021-01-12T06:55:52Z
day: '01'
department:
- _id: ChLa
intvolume: '         1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://hal.archives-ouvertes.fr/hal-01005776/
month: '07'
oa: 1
oa_version: Preprint
page: 49-58
publication_status: published
publisher: Elsevier
publist_id: '4785'
quality_controlled: '1'
status: public
title: Adaptation de domaine de vote de majorité par auto-étiquetage non itératif
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2014'
...
---
_id: '2190'
abstract:
- lang: eng
  text: We present a new algorithm to construct a (generalized) deterministic Rabin
    automaton for an LTL formula φ. The automaton is the product of a master automaton
    and an array of slave automata, one for each G-subformula of φ. The slave automaton
    for G ψ is in charge of recognizing whether FG ψ holds. As opposed to standard
    determinization procedures, the states of all our automata have a clear logical
    structure, which allows for various optimizations. Our construction subsumes former
    algorithms for fragments of LTL. Experimental results show improvement in the
    sizes of the resulting automata compared to existing methods.
acknowledgement: The author is on leave from Faculty of Informatics, Masaryk University,
  Czech Republic, and partially supported by the Czech Science Foundation, grant No.
  P202/12/G061.
alternative_title:
- LNCS
author:
- first_name: Javier
  full_name: Esparza, Javier
  last_name: Esparza
- first_name: Jan
  full_name: Kretinsky, Jan
  id: 44CEF464-F248-11E8-B48F-1D18A9856A87
  last_name: Kretinsky
  orcid: 0000-0002-8122-2881
citation:
  ama: 'Esparza J, Kretinsky J. From LTL to deterministic automata: A safraless compositional
    approach. In: Vol 8559. Springer; 2014:192-208. doi:<a href="https://doi.org/10.1007/978-3-319-08867-9_13">10.1007/978-3-319-08867-9_13</a>'
  apa: 'Esparza, J., &#38; Kretinsky, J. (2014). From LTL to deterministic automata:
    A safraless compositional approach (Vol. 8559, pp. 192–208). Presented at the
    CAV: Computer Aided Verification, Springer. <a href="https://doi.org/10.1007/978-3-319-08867-9_13">https://doi.org/10.1007/978-3-319-08867-9_13</a>'
  chicago: 'Esparza, Javier, and Jan Kretinsky. “From LTL to Deterministic Automata:
    A Safraless Compositional Approach,” 8559:192–208. Springer, 2014. <a href="https://doi.org/10.1007/978-3-319-08867-9_13">https://doi.org/10.1007/978-3-319-08867-9_13</a>.'
  ieee: 'J. Esparza and J. Kretinsky, “From LTL to deterministic automata: A safraless
    compositional approach,” presented at the CAV: Computer Aided Verification, 2014,
    vol. 8559, pp. 192–208.'
  ista: 'Esparza J, Kretinsky J. 2014. From LTL to deterministic automata: A safraless
    compositional approach. CAV: Computer Aided Verification, LNCS, vol. 8559, 192–208.'
  mla: 'Esparza, Javier, and Jan Kretinsky. <i>From LTL to Deterministic Automata:
    A Safraless Compositional Approach</i>. Vol. 8559, Springer, 2014, pp. 192–208,
    doi:<a href="https://doi.org/10.1007/978-3-319-08867-9_13">10.1007/978-3-319-08867-9_13</a>.'
  short: J. Esparza, J. Kretinsky, in:, Springer, 2014, pp. 192–208.
conference:
  name: 'CAV: Computer Aided Verification'
date_created: 2018-12-11T11:56:14Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2021-01-12T06:55:53Z
day: '01'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1007/978-3-319-08867-9_13
ec_funded: 1
intvolume: '      8559'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1402.3388
month: '01'
oa: 1
oa_version: Submitted Version
page: 192 - 208
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '267989'
  name: Quantitative Reactive Modeling
- _id: 25F5A88A-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S11402-N23
  name: Moderne Concurrency Paradigms
publication_status: published
publisher: Springer
publist_id: '4784'
quality_controlled: '1'
status: public
title: 'From LTL to deterministic automata: A safraless compositional approach'
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 8559
year: '2014'
...
---
_id: '2211'
abstract:
- lang: eng
  text: 'In two-player finite-state stochastic games of partial observation on graphs,
    in every state of the graph, the players simultaneously choose an action, and
    their joint actions determine a probability distribution over the successor states.
    The game is played for infinitely many rounds and thus the players construct an
    infinite path in the graph. We consider reachability objectives where the first
    player tries to ensure a target state to be visited almost-surely (i.e., with
    probability 1) or positively (i.e., with positive probability), no matter the
    strategy of the second player. We classify such games according to the information
    and to the power of randomization available to the players. On the basis of information,
    the game can be one-sided with either (a) player 1, or (b) player 2 having partial
    observation (and the other player has perfect observation), or two-sided with
    (c) both players having partial observation. On the basis of randomization, (a)
    the players may not be allowed to use randomization (pure strategies), or (b)
    they may choose a probability distribution over actions but the actual random
    choice is external and not visible to the player (actions invisible), or (c) they
    may use full randomization. Our main results for pure strategies are as follows:
    (1) For one-sided games with player 2 having perfect observation we show that
    (in contrast to full randomized strategies) belief-based (subset-construction
    based) strategies are not sufficient, and we present an exponential upper bound
    on memory both for almost-sure and positive winning strategies; we show that the
    problem of deciding the existence of almost-sure and positive winning strategies
    for player 1 is EXPTIME-complete and present symbolic algorithms that avoid the
    explicit exponential construction. (2) For one-sided games with player 1 having
    perfect observation we show that nonelementarymemory is both necessary and sufficient
    for both almost-sure and positive winning strategies. (3) We show that for the
    general (two-sided) case finite-memory strategies are sufficient for both positive
    and almost-sure winning, and at least nonelementary memory is required. We establish
    the equivalence of the almost-sure winning problems for pure strategies and for
    randomized strategies with actions invisible. Our equivalence result exhibit serious
    flaws in previous results of the literature: we show a nonelementary memory lower
    bound for almost-sure winning whereas an exponential upper bound was previously
    claimed.'
article_number: '16'
arxiv: 1
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Laurent
  full_name: Doyen, Laurent
  last_name: Doyen
citation:
  ama: 'Chatterjee K, Doyen L. Partial-observation stochastic games: How to win when
    belief fails. <i>ACM Transactions on Computational Logic (TOCL)</i>. 2014;15(2).
    doi:<a href="https://doi.org/10.1145/2579821">10.1145/2579821</a>'
  apa: 'Chatterjee, K., &#38; Doyen, L. (2014). Partial-observation stochastic games:
    How to win when belief fails. <i>ACM Transactions on Computational Logic (TOCL)</i>.
    ACM. <a href="https://doi.org/10.1145/2579821">https://doi.org/10.1145/2579821</a>'
  chicago: 'Chatterjee, Krishnendu, and Laurent Doyen. “Partial-Observation Stochastic
    Games: How to Win When Belief Fails.” <i>ACM Transactions on Computational Logic
    (TOCL)</i>. ACM, 2014. <a href="https://doi.org/10.1145/2579821">https://doi.org/10.1145/2579821</a>.'
  ieee: 'K. Chatterjee and L. Doyen, “Partial-observation stochastic games: How to
    win when belief fails,” <i>ACM Transactions on Computational Logic (TOCL)</i>,
    vol. 15, no. 2. ACM, 2014.'
  ista: 'Chatterjee K, Doyen L. 2014. Partial-observation stochastic games: How to
    win when belief fails. ACM Transactions on Computational Logic (TOCL). 15(2),
    16.'
  mla: 'Chatterjee, Krishnendu, and Laurent Doyen. “Partial-Observation Stochastic
    Games: How to Win When Belief Fails.” <i>ACM Transactions on Computational Logic
    (TOCL)</i>, vol. 15, no. 2, 16, ACM, 2014, doi:<a href="https://doi.org/10.1145/2579821">10.1145/2579821</a>.'
  short: K. Chatterjee, L. Doyen, ACM Transactions on Computational Logic (TOCL) 15
    (2014).
date_created: 2018-12-11T11:56:21Z
date_published: 2014-04-01T00:00:00Z
date_updated: 2023-02-23T12:23:43Z
day: '01'
department:
- _id: KrCh
doi: 10.1145/2579821
external_id:
  arxiv:
  - '1107.2141'
intvolume: '        15'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1107.2141
month: '04'
oa: 1
oa_version: Preprint
publication: ACM Transactions on Computational Logic (TOCL)
publication_status: published
publisher: ACM
publist_id: '4759'
quality_controlled: '1'
related_material:
  record:
  - id: '1903'
    relation: earlier_version
    status: public
  - id: '2955'
    relation: earlier_version
    status: public
  - id: '5381'
    relation: earlier_version
    status: public
scopus_import: 1
status: public
title: 'Partial-observation stochastic games: How to win when belief fails'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2014'
...
