@phdthesis{8156,
  abstract     = {We present solutions to several problems originating from geometry and discrete mathematics: existence of equipartitions, maps without Tverberg multiple points, and inscribing quadrilaterals. Equivariant obstruction theory is the natural topological approach to these type of questions. However, for the specific problems we consider it had yielded only partial or no results. We get our results by complementing equivariant obstruction theory with other techniques from topology and geometry.},
  author       = {Avvakumov, Sergey},
  issn         = {2663-337X},
  pages        = {119},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Topological methods in geometry and discrete mathematics}},
  doi          = {10.15479/AT:ISTA:8156},
  year         = {2020},
}

@article{8162,
  abstract     = {In mammalian genomes, a subset of genes is regulated by genomic imprinting, resulting in silencing of one parental allele. Imprinting is essential for cerebral cortex development, but prevalence and functional impact in individual cells is unclear. Here, we determined allelic expression in cortical cell types and established a quantitative platform to interrogate imprinting in single cells. We created cells with uniparental chromosome disomy (UPD) containing two copies of either the maternal or the paternal chromosome; hence, imprinted genes will be 2-fold overexpressed or not expressed. By genetic labeling of UPD, we determined cellular phenotypes and transcriptional responses to deregulated imprinted gene expression at unprecedented single-cell resolution. We discovered an unexpected degree of cell-type specificity and a novel function of imprinting in the regulation of cortical astrocyte survival. More generally, our results suggest functional relevance of imprinted gene expression in glial astrocyte lineage and thus for generating cortical cell-type diversity.},
  author       = {Laukoter, Susanne and Pauler, Florian and Beattie, Robert J and Amberg, Nicole and Hansen, Andi H and Streicher, Carmen and Penz, Thomas and Bock, Christoph and Hippenmeyer, Simon},
  issn         = {0896-6273},
  journal      = {Neuron},
  number       = {6},
  pages        = {1160--1179.e9},
  publisher    = {Elsevier},
  title        = {{Cell-type specificity of genomic imprinting in cerebral cortex}},
  doi          = {10.1016/j.neuron.2020.06.031},
  volume       = {107},
  year         = {2020},
}

@article{8163,
  abstract     = {Fejes Tóth [3] studied approximations of smooth surfaces in three-space by piecewise flat triangular meshes with a given number of vertices on the surface that are optimal with respect to Hausdorff distance. He proves that this Hausdorff distance decreases inversely proportional with the number of vertices of the approximating mesh if the surface is convex. He also claims that this Hausdorff distance is inversely proportional to the square of the number of vertices for a specific non-convex surface, namely a one-sheeted hyperboloid of revolution bounded by two congruent circles. We refute this claim, and show that the asymptotic behavior of the Hausdorff distance is linear, that is the same as for convex surfaces.},
  author       = {Vegter, Gert and Wintraecken, Mathijs},
  issn         = {1588-2896},
  journal      = {Studia Scientiarum Mathematicarum Hungarica},
  number       = {2},
  pages        = {193--199},
  publisher    = {Akadémiai Kiadó},
  title        = {{Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes}},
  doi          = {10.1556/012.2020.57.2.1454},
  volume       = {57},
  year         = {2020},
}

@article{8167,
  abstract     = {The evolution of strong reproductive isolation (RI) is fundamental to the origins and maintenance of biological diversity, especially in situations where geographical distributions of taxa broadly overlap. But what is the history behind strong barriers currently acting in sympatry? Using whole-genome sequencing and single nucleotide polymorphism genotyping, we inferred (i) the evolutionary relationships, (ii) the strength of RI, and (iii) the demographic history of divergence between two broadly sympatric taxa of intertidal snail. Despite being cryptic, based on external morphology, Littorina arcana and Littorina saxatilis differ in their mode of female reproduction (egg-laying versus brooding), which may generate a strong post-zygotic barrier. We show that egg-laying and brooding snails are closely related, but genetically distinct. Genotyping of 3092 snails from three locations failed to recover any recent hybrid or backcrossed individuals, confirming that RI is strong. There was, however, evidence for a very low level of asymmetrical introgression, suggesting that isolation remains incomplete. The presence of strong, asymmetrical RI was further supported by demographic analysis of these populations. Although the taxa are currently broadly sympatric, demographic modelling suggests that they initially diverged during a short period of geographical separation involving very low gene flow. Our study suggests that some geographical separation may kick-start the evolution of strong RI, facilitating subsequent coexistence of taxa in sympatry. The strength of RI needed to achieve sympatry and the subsequent effect of sympatry on RI remain open questions.},
  author       = {Stankowski, Sean and Westram, Anja M and Zagrodzka, Zuzanna B. and Eyres, Isobel and Broquet, Thomas and Johannesson, Kerstin and Butlin, Roger K.},
  issn         = {1471-2970},
  journal      = {Philosophical Transactions of the Royal Society. Series B: Biological Sciences},
  number       = {1806},
  publisher    = {The Royal Society},
  title        = {{The evolution of strong reproductive isolation between sympatric intertidal snails}},
  doi          = {10.1098/rstb.2019.0545},
  volume       = {375},
  year         = {2020},
}

@article{8168,
  abstract     = {Speciation, that is, the evolution of reproductive barriers eventually leading to complete isolation, is a crucial process generating biodiversity. Recent work has contributed much to our understanding of how reproductive barriers begin to evolve, and how they are maintained in the face of gene flow. However, little is known about the transition from partial to strong reproductive isolation (RI) and the completion of speciation. We argue that the evolution of strong RI is likely to involve different processes, or new interactions among processes, compared with the evolution of the first reproductive barriers. Transition to strong RI may be brought about by changing external conditions, for example, following secondary contact. However, the increasing levels of RI themselves create opportunities for new barriers to evolve and, and interaction or coupling among barriers. These changing processes may depend on genomic architecture and leave detectable signals in the genome. We outline outstanding questions and suggest more theoretical and empirical work, considering both patterns and processes associated with strong RI, is needed to understand how speciation is completed.},
  author       = {Kulmuni, Jonna and Butlin, Roger K. and Lucek, Kay and Savolainen, Vincent and Westram, Anja M},
  issn         = {1471-2970},
  journal      = {Philosophical Transactions of the Royal Society. Series B: Biological sciences},
  number       = {1806},
  publisher    = {The Royal Society},
  title        = {{Towards the completion of speciation: The evolution of reproductive isolation beyond the first barriers}},
  doi          = {10.1098/rstb.2019.0528},
  volume       = {375},
  year         = {2020},
}

@article{8169,
  abstract     = {Many recent studies have addressed the mechanisms operating during the early stages of speciation, but surprisingly few studies have tested theoretical predictions on the evolution of strong reproductive isolation (RI). To help address this gap, we first undertook a quantitative review of the hybrid zone literature for flowering plants in relation to reproductive barriers. Then, using Populus as an exemplary model group, we analysed genome-wide variation for phylogenetic tree topologies in both early- and late-stage speciation taxa to determine how these patterns may be related to the genomic architecture of RI. Our plant literature survey revealed variation in barrier complexity and an association between barrier number and introgressive gene flow. Focusing on Populus, our genome-wide analysis of tree topologies in speciating poplar taxa points to unusually complex genomic architectures of RI, consistent with earlier genome-wide association studies. These architectures appear to facilitate the ‘escape’ of introgressed genome segments from polygenic barriers even with strong RI, thus affecting their relationships with recombination rates. Placed within the context of the broader literature, our data illustrate how phylogenomic approaches hold great promise for addressing the evolution and temporary breakdown of RI during late stages of speciation.},
  author       = {Shang, Huiying and Hess, Jaqueline and Pickup, Melinda and Field, David and Ingvarsson, Pär K. and Liu, Jianquan and Lexer, Christian},
  issn         = {14712970},
  journal      = {Philosophical Transactions of the Royal Society. Series B: Biological Sciences},
  number       = {1806},
  publisher    = {The Royal Society},
  title        = {{Evolution of strong reproductive isolation in plants: Broad-scale patterns and lessons from a perennial model group}},
  doi          = {10.1098/rstb.2019.0544},
  volume       = {375},
  year         = {2020},
}

@article{8170,
  abstract     = {Alignment of OCS, CS2, and I2 molecules embedded in helium nanodroplets is measured as a function
of time following rotational excitation by a nonresonant, comparatively weak ps laser pulse. The distinct
peaks in the power spectra, obtained by Fourier analysis, are used to determine the rotational, B, and
centrifugal distortion, D, constants. For OCS, B and D match the values known from IR spectroscopy. For
CS2 and I2, they are the first experimental results reported. The alignment dynamics calculated from the
gas-phase rotational Schrödinger equation, using the experimental in-droplet B and D values, agree in
detail with the measurement for all three molecules. The rotational spectroscopy technique for molecules in
helium droplets introduced here should apply to a range of molecules and complexes.},
  author       = {Chatterley, Adam S. and Christiansen, Lars and Schouder, Constant A. and Jørgensen, Anders V. and Shepperson, Benjamin and Cherepanov, Igor and Bighin, Giacomo and Zillich, Robert E. and Lemeshko, Mikhail and Stapelfeldt, Henrik},
  issn         = {10797114},
  journal      = {Physical Review Letters},
  number       = {1},
  publisher    = {American Physical Society},
  title        = {{Rotational coherence spectroscopy of molecules in Helium nanodroplets: Reconciling the time and the frequency domains}},
  doi          = {10.1103/PhysRevLett.125.013001},
  volume       = {125},
  year         = {2020},
}

@inbook{8173,
  abstract     = {Understanding how the activity of membrane receptors and cellular signaling pathways shapes cell behavior is of fundamental interest in basic and applied research. Reengineering receptors to react to light instead of their cognate ligands allows for generating defined signaling inputs with high spatial and temporal precision and facilitates the dissection of complex signaling networks. Here, we describe fundamental considerations in the design of light-regulated receptor tyrosine kinases (Opto-RTKs) and appropriate control experiments. We also introduce methods for transient receptor expression in HEK293 cells, quantitative assessment of signaling activity in reporter gene assays, semiquantitative assessment of (in)activation time courses through Western blot (WB) analysis, and easy to implement light stimulation hardware.},
  author       = {Kainrath, Stephanie and Janovjak, Harald L},
  booktitle    = {Photoswitching Proteins},
  editor       = {Niopek, Dominik},
  issn         = {19406029},
  pages        = {233--246},
  publisher    = {Springer Nature},
  title        = {{Design and application of light-regulated receptor tyrosine kinases}},
  doi          = {10.1007/978-1-0716-0755-8_16},
  volume       = {2173},
  year         = {2020},
}

@misc{8181,
  author       = {Hauschild, Robert},
  publisher    = {IST Austria},
  title        = {{Amplified centrosomes in dendritic cells promote immune cell effector functions}},
  doi          = {10.15479/AT:ISTA:8181},
  year         = {2020},
}

@inproceedings{8186,
  abstract     = {Numerous methods have been proposed for probabilistic generative modelling of
3D objects. However, none of these is able to produce textured objects, which
renders them of limited use for practical tasks. In this work, we present the
first generative model of textured 3D meshes. Training such a model would
traditionally require a large dataset of textured meshes, but unfortunately,
existing datasets of meshes lack detailed textures. We instead propose a new
training methodology that allows learning from collections of 2D images without
any 3D information. To do so, we train our model to explain a distribution of
images by modelling each image as a 3D foreground object placed in front of a
2D background. Thus, it learns to generate meshes that when rendered, produce
images similar to those in its training set.
  A well-known problem when generating meshes with deep networks is the
emergence of self-intersections, which are problematic for many use-cases. As a
second contribution we therefore introduce a new generation process for 3D
meshes that guarantees no self-intersections arise, based on the physical
intuition that faces should push one another out of the way as they move.
  We conduct extensive experiments on our approach, reporting quantitative and
qualitative results on both synthetic data and natural images. These show our
method successfully learns to generate plausible and diverse textured 3D
samples for five challenging object classes.},
  author       = {Henderson, Paul M and Tsiminaki, Vagia and Lampert, Christoph},
  booktitle    = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  issn         = {2575-7075},
  location     = {Virtual},
  pages        = {7498--7507},
  publisher    = {IEEE},
  title        = {{Leveraging 2D data to learn textured 3D mesh generation}},
  doi          = {10.1109/CVPR42600.2020.00752},
  year         = {2020},
}

@inproceedings{8188,
  abstract     = {A natural approach to generative modeling of videos is to represent them as a composition of moving objects. Recent works model a set of 2D sprites over a slowly-varying background, but without considering the underlying 3D scene that
gives rise to them. We instead propose to model a video as the view seen while moving through a scene with multiple 3D objects and a 3D background. Our model is trained from monocular videos without any supervision, yet learns to
generate coherent 3D scenes containing several moving objects. We conduct detailed experiments on two datasets, going beyond the visual complexity supported by state-of-the-art generative approaches. We evaluate our method on
depth-prediction and 3D object detection---tasks which cannot be addressed by those earlier works---and show it out-performs them even on 2D instance segmentation and tracking.},
  author       = {Henderson, Paul M and Lampert, Christoph},
  booktitle    = {34th Conference on Neural Information Processing Systems},
  isbn         = {9781713829546},
  location     = {Vancouver, Canada},
  pages        = {3106–3117},
  publisher    = {Curran Associates},
  title        = {{Unsupervised object-centric video generation and decomposition in 3D}},
  volume       = {33},
  year         = {2020},
}

@article{8189,
  abstract     = {Direct ethanol fuel cells (DEFCs) show a huge potential to power future electric vehicles and portable electronics, but their deployment is currently limited by the unavailability of proper electrocatalysis for the ethanol oxidation reaction (EOR). In this work, we engineer a new electrocatalyst by incorporating phosphorous into a palladium-tin alloy and demonstrate a significant performance improvement toward EOR. We first detail a synthetic method to produce Pd2Sn:P nanocrystals that incorporate 35% of phosphorus. These nanoparticles are supported on carbon black and tested for EOR. Pd2Sn:P/C catalysts exhibit mass current densities up to 5.03 A mgPd−1, well above those of Pd2Sn/C, PdP2/C and Pd/C reference catalysts. Furthermore, a twofold lower Tafel slope and a much longer durability are revealed for the Pd2Sn:P/C catalyst compared with Pd/C. The performance improvement is rationalized with the aid of density functional theory (DFT) calculations considering different phosphorous chemical environments. Depending on its oxidation state, surface phosphorus introduces sites with low energy OH− adsorption and/or strongly influences the electronic structure of palladium and tin to facilitate the oxidation of the acetyl to acetic acid, which is considered the EOR rate limiting step. DFT calculations also points out that the durability improvement of Pd2Sn:P/C catalyst is associated to the promotion of OH adsorption that accelerates the oxidation of intermediate poisoning COads, reactivating the catalyst surface.},
  author       = {Yu, Xiaoting and Liu, Junfeng and Li, Junshan and Luo, Zhishan and Zuo, Yong and Xing, Congcong and Llorca, Jordi and Nasiou, Déspina and Arbiol, Jordi and Pan, Kai and Kleinhanns, Tobias and Xie, Ying and Cabot, Andreu},
  issn         = {2211-2855},
  journal      = {Nano Energy},
  number       = {11},
  publisher    = {Elsevier},
  title        = {{Phosphorous incorporation in Pd2Sn alloys for electrocatalytic ethanol oxidation}},
  doi          = {10.1016/j.nanoen.2020.105116},
  volume       = {77},
  year         = {2020},
}

@article{8190,
  author       = {Sixt, Michael K and Huttenlocher, Anna},
  issn         = {1540-8140},
  journal      = {The Journal of Cell Biology},
  number       = {8},
  publisher    = {Rockefeller University Press},
  title        = {{Zena Werb (1945-2020): Cell biology in context}},
  doi          = {10.1083/jcb.202007029},
  volume       = {219},
  year         = {2020},
}

@inproceedings{8191,
  abstract     = {There has been a significant amount of research on hardware and software support for efficient concurrent data structures; yet, the question of how to build correct, simple, and scalable data structures has not yet been definitively settled. In this paper, we revisit this question from a minimalist perspective, and ask: what is the smallest amount of synchronization required for correct and efficient concurrent search data structures, and how could this minimal synchronization support be provided in hardware?

To address these questions, we introduce memory tagging, a simple hardware mechanism which enables the programmer to "tag" a dynamic set of memory locations, at cache-line granularity, and later validate whether the memory has been concurrently modified, with the possibility of updating one of the underlying locations atomically if validation succeeds. We provide several examples showing that this mechanism can enable fast and arguably simple concurrent data structure designs, such as lists, binary search trees, balanced search trees, range queries, and Software Transactional Memory (STM) implementations. We provide an implementation of memory tags in the Graphite multi-core simulator, showing that the mechanism can be implemented entirely at the level of L1 cache, and that it can enable non-trivial speedups versus existing implementations of the above data structures.},
  author       = {Alistarh, Dan-Adrian and Brown, Trevor A and Singhal, Nandini},
  booktitle    = {Annual ACM Symposium on Parallelism in Algorithms and Architectures},
  isbn         = {9781450369350},
  location     = {Virtual Event, United States},
  number       = {7},
  pages        = {37--49},
  publisher    = {Association for Computing Machinery},
  title        = {{Memory tagging: Minimalist synchronization for scalable concurrent data structures}},
  doi          = {10.1145/3350755.3400213},
  year         = {2020},
}

@inproceedings{8193,
  abstract     = {Multiple-environment Markov decision processes (MEMDPs) are MDPs equipped with not one, but multiple probabilistic transition functions, which represent the various possible unknown environments. While the previous research on MEMDPs focused on theoretical properties for long-run average payoff, we study them with discounted-sum payoff and focus on their practical advantages and applications. MEMDPs can be viewed as a special case of Partially observable and Mixed observability MDPs: the state of the system is perfectly observable, but not the environment. We show that the specific structure of MEMDPs allows for more efficient algorithmic analysis, in particular for faster belief updates. We demonstrate the applicability of MEMDPs in several domains. In particular, we formalize the sequential decision-making approach to contextual recommendation systems as MEMDPs and substantially improve over the previous MDP approach.},
  author       = {Chatterjee, Krishnendu and Chmelik, Martin and Karkhanis, Deep and Novotný, Petr and Royer, Amélie},
  booktitle    = {Proceedings of the 30th International Conference on Automated Planning and Scheduling},
  issn         = {23340843},
  location     = {Nancy, France},
  pages        = {48--56},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{Multiple-environment Markov decision processes: Efficient analysis and applications}},
  volume       = {30},
  year         = {2020},
}

@inproceedings{8194,
  abstract     = {Fixed-point arithmetic is a popular alternative to floating-point arithmetic on embedded systems. Existing work on the verification of fixed-point programs relies on custom formalizations of fixed-point arithmetic, which makes it hard to compare the described techniques or reuse the implementations. In this paper, we address this issue by proposing and formalizing an SMT theory of fixed-point arithmetic. We present an intuitive yet comprehensive syntax of the fixed-point theory, and provide formal semantics for it based on rational arithmetic. We also describe two decision procedures for this theory: one based on the theory of bit-vectors and the other on the theory of reals. We implement the two decision procedures, and evaluate our implementations using existing mature SMT solvers on a benchmark suite we created. Finally, we perform a case study of using the theory we propose to verify properties of quantized neural networks.},
  author       = {Baranowski, Marek and He, Shaobo and Lechner, Mathias and Nguyen, Thanh Son and Rakamarić, Zvonimir},
  booktitle    = {Automated Reasoning},
  isbn         = {9783030510732},
  issn         = {16113349},
  location     = {Paris, France},
  pages        = {13--31},
  publisher    = {Springer Nature},
  title        = {{An SMT theory of fixed-point arithmetic}},
  doi          = {10.1007/978-3-030-51074-9_2},
  volume       = {12166},
  year         = {2020},
}

@inproceedings{8195,
  abstract     = {This paper presents a foundation for refining concurrent programs with structured control flow. The verification problem is decomposed into subproblems that aid interactive program development, proof reuse, and automation. The formalization in this paper is the basis of a new design and implementation of the Civl verifier.},
  author       = {Kragl, Bernhard and Qadeer, Shaz and Henzinger, Thomas A},
  booktitle    = {Computer Aided Verification},
  isbn         = {9783030532871},
  issn         = {1611-3349},
  pages        = {275--298},
  publisher    = {Springer Nature},
  title        = {{Refinement for structured concurrent programs}},
  doi          = {10.1007/978-3-030-53288-8_14},
  volume       = {12224},
  year         = {2020},
}

@article{8199,
  abstract     = {We investigate a mechanism to transiently stabilize topological phenomena in long-lived quasi-steady states of isolated quantum many-body systems driven at low frequencies. We obtain an analytical bound for the lifetime of the quasi-steady states which is exponentially large in the inverse driving frequency. Within this lifetime, the quasi-steady state is characterized by maximum entropy subject to the constraint of fixed number of particles in the system's Floquet-Bloch bands. In such a state, all the non-universal properties of these bands are washed out, hence only the topological properties persist.},
  author       = {Gulden, Tobias and Berg, Erez and Rudner, Mark Spencer and Lindner, Netanel},
  issn         = {2542-4653},
  journal      = {SciPost Physics},
  publisher    = {SciPost Foundation},
  title        = {{Exponentially long lifetime of universal quasi-steady states in topological Floquet pumps}},
  doi          = {10.21468/scipostphys.9.1.015},
  volume       = {9},
  year         = {2020},
}

@article{8203,
  abstract     = {Using inelastic cotunneling spectroscopy we observe a zero field splitting within the spin triplet manifold of Ge hut wire quantum dots. The states with spin ±1 in the confinement direction are energetically favored by up to 55 μeV compared to the spin 0 triplet state because of the strong spin–orbit coupling. The reported effect should be observable in a broad class of strongly confined hole quantum-dot systems and might need to be considered when operating hole spin qubits.},
  author       = {Katsaros, Georgios and Kukucka, Josip and Vukušić, Lada and Watzinger, Hannes and Gao, Fei and Wang, Ting and Zhang, Jian-Jun and Held, Karsten},
  issn         = {1530-6992},
  journal      = {Nano Letters},
  number       = {7},
  pages        = {5201--5206},
  publisher    = {American Chemical Society},
  title        = {{Zero field splitting of heavy-hole states in quantum dots}},
  doi          = {10.1021/acs.nanolett.0c01466},
  volume       = {20},
  year         = {2020},
}

@article{8220,
  abstract     = {Understanding to what extent stem cell potential is a cell-intrinsic property or an emergent behavior coming from global tissue dynamics and geometry is a key outstanding question of systems and stem cell biology. Here, we propose a theory of stem cell dynamics as a stochastic competition for access to a spatially localized niche, giving rise to a stochastic conveyor-belt model. Cell divisions produce a steady cellular stream which advects cells away from the niche, while random rearrangements enable cells away from the niche to be favorably repositioned. Importantly, even when assuming that all cells in a tissue are molecularly equivalent, we predict a common (“universal”) functional dependence of the long-term clonal survival probability on distance from the niche, as well as the emergence of a well-defined number of functional stem cells, dependent only on the rate of random movements vs. mitosis-driven advection. We test the predictions of this theory on datasets of pubertal mammary gland tips and embryonic kidney tips, as well as homeostatic intestinal crypts. Importantly, we find good agreement for the predicted functional dependency of the competition as a function of position, and thus functional stem cell number in each organ. This argues for a key role of positional fluctuations in dictating stem cell number and dynamics, and we discuss the applicability of this theory to other settings.},
  author       = {Corominas-Murtra, Bernat and Scheele, Colinda L.G.J. and Kishi, Kasumi and Ellenbroek, Saskia I.J. and Simons, Benjamin D. and Van Rheenen, Jacco and Hannezo, Edouard B},
  issn         = {10916490},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {29},
  pages        = {16969--16975},
  publisher    = {National Academy of Sciences},
  title        = {{Stem cell lineage survival as a noisy competition for niche access}},
  doi          = {10.1073/pnas.1921205117},
  volume       = {117},
  year         = {2020},
}

