@inproceedings{14186,
  abstract     = {The goal of the unsupervised learning of disentangled representations is to
separate the independent explanatory factors of variation in the data without
access to supervision. In this paper, we summarize the results of Locatello et
al., 2019, and focus on their implications for practitioners. We discuss the
theoretical result showing that the unsupervised learning of disentangled
representations is fundamentally impossible without inductive biases and the
practical challenges it entails. Finally, we comment on our experimental
findings, highlighting the limitations of state-of-the-art approaches and
directions for future research.},
  author       = {Locatello, Francesco and Bauer, Stefan and Lucic, Mario and Rätsch, Gunnar and Gelly, Sylvain and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {The 34th AAAI Conference on Artificial Intelligence},
  isbn         = {9781577358350},
  issn         = {2374-3468},
  location     = {New York, NY, United States},
  number       = {9},
  pages        = {13681--13684},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{A commentary on the unsupervised learning of disentangled representations}},
  doi          = {10.1609/aaai.v34i09.7120},
  volume       = {34},
  year         = {2020},
}

@inproceedings{14187,
  abstract     = {We propose a novel Stochastic Frank-Wolfe (a.k.a. conditional gradient)
algorithm for constrained smooth finite-sum minimization with a generalized
linear prediction/structure. This class of problems includes empirical risk
minimization with sparse, low-rank, or other structured constraints. The
proposed method is simple to implement, does not require step-size tuning, and
has a constant per-iteration cost that is independent of the dataset size.
Furthermore, as a byproduct of the method we obtain a stochastic estimator of
the Frank-Wolfe gap that can be used as a stopping criterion. Depending on the
setting, the proposed method matches or improves on the best computational
guarantees for Stochastic Frank-Wolfe algorithms. Benchmarks on several
datasets highlight different regimes in which the proposed method exhibits a
faster empirical convergence than related methods. Finally, we provide an
implementation of all considered methods in an open-source package.},
  author       = {Négiar, Geoffrey and Dresdner, Gideon and Tsai, Alicia and Ghaoui, Laurent El and Locatello, Francesco and Freund, Robert M. and Pedregosa, Fabian},
  booktitle    = {Proceedings of the 37th International Conference on Machine Learning},
  location     = {Virtual},
  pages        = {7253--7262},
  title        = {{Stochastic Frank-Wolfe for constrained finite-sum minimization}},
  volume       = {119},
  year         = {2020},
}

@inproceedings{14188,
  abstract     = {Intelligent agents should be able to learn useful representations by
observing changes in their environment. We model such observations as pairs of
non-i.i.d. images sharing at least one of the underlying factors of variation.
First, we theoretically show that only knowing how many factors have changed,
but not which ones, is sufficient to learn disentangled representations.
Second, we provide practical algorithms that learn disentangled representations
from pairs of images without requiring annotation of groups, individual
factors, or the number of factors that have changed. Third, we perform a
large-scale empirical study and show that such pairs of observations are
sufficient to reliably learn disentangled representations on several benchmark
data sets. Finally, we evaluate our learned representations and find that they
are simultaneously useful on a diverse suite of tasks, including generalization
under covariate shifts, fairness, and abstract reasoning. Overall, our results
demonstrate that weak supervision enables learning of useful disentangled
representations in realistic scenarios.},
  author       = {Locatello, Francesco and Poole, Ben and Rätsch, Gunnar and Schölkopf, Bernhard and Bachem, Olivier and Tschannen, Michael},
  booktitle    = {Proceedings of the 37th International Conference on Machine Learning},
  location     = {Virtual},
  pages        = {6348–6359},
  title        = {{Weakly-supervised disentanglement without compromises}},
  volume       = {119},
  year         = {2020},
}

@article{14195,
  abstract     = {The idea behind the unsupervised learning of disentangled representations is that real-world data is generated by a few explanatory factors of variation which can be recovered by unsupervised learning algorithms. In this paper, we provide a sober look at recent progress in the field and challenge some common assumptions. We first theoretically show that the unsupervised learning of disentangled representations is fundamentally impossible without inductive biases on both the models and the data. Then, we train over 14000
 models covering most prominent methods and evaluation metrics in a reproducible large-scale experimental study on eight data sets. We observe that while the different methods successfully enforce properties “encouraged” by the corresponding losses, well-disentangled models seemingly cannot be identified without supervision. Furthermore, different evaluation metrics do not always agree on what should be considered “disentangled” and exhibit systematic differences in the estimation. Finally, increased disentanglement does not seem to necessarily lead to a decreased sample complexity of learning for downstream tasks. Our results suggest that future work on disentanglement learning should be explicit about the role of inductive biases and (implicit) supervision, investigate concrete benefits of enforcing disentanglement of the learned representations, and consider a reproducible experimental setup covering several data sets.},
  author       = {Locatello, Francesco and Bauer, Stefan and Lucic, Mario and Rätsch, Gunnar and Gelly, Sylvain and Schölkopf, Bernhard and Bachem, Olivier},
  journal      = {Journal of Machine Learning Research},
  publisher    = {MIT Press},
  title        = {{A sober look at the unsupervised learning of disentangled representations and their evaluation}},
  volume       = {21},
  year         = {2020},
}

@inproceedings{14326,
  abstract     = {Learning object-centric representations of complex scenes is a promising step towards enabling efficient abstract reasoning from low-level perceptual features. Yet, most deep learning approaches learn distributed representations that do not capture the compositional properties of natural scenes. In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a convolutional neural network and produces a set of task-dependent abstract representations which we call slots. These slots are exchangeable and can bind to any object in the input by specializing through a competitive procedure over multiple rounds of attention. We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when trained on unsupervised object discovery and supervised property prediction tasks.

},
  author       = {Locatello, Francesco and Weissenborn, Dirk and Unterthiner, Thomas and Mahendran, Aravindh and Heigold, Georg and Uszkoreit, Jakob and Dosovitskiy, Alexey and Kipf, Thomas},
  booktitle    = {34th International Conference on Neural Information Processing Systems},
  isbn         = {9781713829546},
  issn         = {1049-5258},
  location     = {Virtual},
  pages        = {11525--11538},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{Object-centric learning with slot attention}},
  volume       = {33},
  year         = {2020},
}

@misc{14592,
  abstract     = {Cryo-electron microscopy (cryo-EM) of cellular specimens provides insights into biological processes and structures within a native context. However, a major challenge still lies in the efficient and reproducible preparation of adherent cells for subsequent cryo-EM analysis. This is due to the sensitivity of many cellular specimens to the varying seeding and culturing conditions required for EM experiments, the often limited amount of cellular material and also the fragility of EM grids and their substrate. Here, we present low-cost and reusable 3D printed grid holders, designed to improve specimen preparation when culturing challenging cellular samples directly on grids. The described grid holders increase cell culture reproducibility and throughput, and reduce the resources required for cell culturing. We show that grid holders can be integrated into various cryo-EM workflows, including micro-patterning approaches to control cell seeding on grids, and for generating samples for cryo-focused ion beam milling and cryo-electron tomography experiments. Their adaptable design allows for the generation of specialized grid holders customized to a large variety of applications.},
  author       = {Schur, Florian KM},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{STL-files for 3D-printed grid holders described in  Fäßler F, Zens B, et al.; 3D printed cell culture grid holders for improved cellular specimen preparation in cryo-electron microscopy}},
  doi          = {10.15479/AT:ISTA:14592},
  year         = {2020},
}

@article{14694,
  abstract     = {We study the unique solution m of the Dyson equation \( -m(z)^{-1} = z\1 - a + S[m(z)] \) on a von Neumann algebra A with the constraint Imm≥0. Here, z lies in the complex upper half-plane, a is a self-adjoint element of A and S is a positivity-preserving linear operator on A. We show that m is the Stieltjes transform of a compactly supported A-valued measure on R. Under suitable assumptions, we establish that this measure has a uniformly 1/3-Hölder continuous density with respect to the Lebesgue measure, which is supported on finitely many intervals, called bands. In fact, the density is analytic inside the bands with a square-root growth at the edges and internal cubic root cusps whenever the gap between two bands vanishes. The shape of these singularities is universal and no other singularity may occur. We give a precise asymptotic description of m near the singular points. These asymptotics generalize the analysis at the regular edges given in the companion paper on the Tracy-Widom universality for the edge eigenvalue statistics for correlated random matrices [the first author et al., Ann. Probab. 48, No. 2, 963--1001 (2020; Zbl 1434.60017)] and they play a key role in the proof of the Pearcey universality at the cusp for Wigner-type matrices [G. Cipolloni et al., Pure Appl. Anal. 1, No. 4, 615--707 (2019; Zbl 07142203); the second author et al., Commun. Math. Phys. 378, No. 2, 1203--1278 (2020; Zbl 07236118)]. We also extend the finite dimensional band mass formula from [the first author et al., loc. cit.] to the von Neumann algebra setting by showing that the spectral mass of the bands is topologically rigid under deformations and we conclude that these masses are quantized in some important cases.},
  author       = {Alt, Johannes and Erdös, László and Krüger, Torben H},
  issn         = {1431-0643},
  journal      = {Documenta Mathematica},
  keywords     = {General Mathematics},
  pages        = {1421--1539},
  publisher    = {EMS Press},
  title        = {{The Dyson equation with linear self-energy: Spectral bands, edges and cusps}},
  doi          = {10.4171/dm/780},
  volume       = {25},
  year         = {2020},
}

@article{14891,
  abstract     = {We give the first mathematically rigorous justification of the local density approximation in density functional theory. We provide a quantitative estimate on the difference between the grand-canonical Levy–Lieb energy of a given density (the lowest possible energy of all quantum states having this density) and the integral over the uniform electron gas energy of this density. The error involves gradient terms and justifies the use of the local density approximation in the situation where the density is very flat on sufficiently large regions in space.},
  author       = {Lewin, Mathieu and Lieb, Elliott H. and Seiringer, Robert},
  issn         = {2578-5885},
  journal      = {Pure and Applied Analysis},
  number       = {1},
  pages        = {35--73},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{ The local density approximation in density functional theory}},
  doi          = {10.2140/paa.2020.2.35},
  volume       = {2},
  year         = {2020},
}

@article{15036,
  abstract     = {The assembly of a septin filament requires that homologous monomers must distinguish between one another in establishing appropriate interfaces with their neighbors. To understand this phenomenon at the molecular level, we present the first four crystal structures of heterodimeric septin complexes. We describe in detail the two distinct types of G-interface present within the octameric particles, which must polymerize to form filaments. These are formed between SEPT2 and SEPT6 and between SEPT7 and SEPT3, and their description permits an understanding of the structural basis for the selectivity necessary for correct filament assembly. By replacing SEPT6 by SEPT8 or SEPT11, it is possible to rationalize Kinoshita's postulate, which predicts the exchangeability of septins from within a subgroup. Switches I and II, which in classical small GTPases provide a mechanism for nucleotide-dependent conformational change, have been repurposed in septins to play a fundamental role in molecular recognition. Specifically, it is switch I which holds the key to discriminating between the two different G-interfaces. Moreover, residues which are characteristic for a given subgroup play subtle, but pivotal, roles in guaranteeing that the correct interfaces are formed.},
  author       = {Rosa, Higor Vinícius Dias and Leonardo, Diego Antonio and Brognara, Gabriel and Brandão-Neto, José and D'Muniz Pereira, Humberto and Araújo, Ana Paula Ulian and Garratt, Richard Charles},
  issn         = {0022-2836},
  journal      = {Journal of Molecular Biology},
  keywords     = {Molecular Biology, Structural Biology},
  number       = {21},
  pages        = {5784--5801},
  publisher    = {Elsevier},
  title        = {{Molecular recognition at septin interfaces: The switches hold the key}},
  doi          = {10.1016/j.jmb.2020.09.001},
  volume       = {432},
  year         = {2020},
}

@article{15037,
  abstract     = {Protein abundance and localization at the plasma membrane (PM) shapes plant development and mediates adaptation to changing environmental conditions. It is regulated by ubiquitination, a post-translational modification crucial for the proper sorting of endocytosed PM proteins to the vacuole for subsequent degradation. To understand the significance and the variety of roles played by this reversible modification, the function of ubiquitin receptors, which translate the ubiquitin signature into a cellular response, needs to be elucidated. In this study, we show that TOL (TOM1-like) proteins function in plants as multivalent ubiquitin receptors, governing ubiquitinated cargo delivery to the vacuole via the conserved Endosomal Sorting Complex Required for Transport (ESCRT) pathway. TOL2 and TOL6 interact with components of the ESCRT machinery and bind to K63-linked ubiquitin via two tandemly arranged conserved ubiquitin-binding domains. Mutation of these domains results not only in a loss of ubiquitin binding but also altered localization, abolishing TOL6 ubiquitin receptor activity. Function and localization of TOL6 is itself regulated by ubiquitination, whereby TOL6 ubiquitination potentially modulates degradation of PM-localized cargoes, assisting in the fine-tuning of the delicate interplay between protein recycling and downregulation. Taken together, our findings demonstrate the function and regulation of a ubiquitin receptor that mediates vacuolar degradation of PM proteins in higher plants.},
  author       = {Moulinier-Anzola, Jeanette and Schwihla, Maximilian and De-Araújo, Lucinda and Artner, Christina and Jörg, Lisa and Konstantinova, Nataliia and Luschnig, Christian and Korbei, Barbara},
  issn         = {1674-2052},
  journal      = {Molecular Plant},
  keywords     = {Plant Science, Molecular Biology},
  number       = {5},
  pages        = {717--731},
  publisher    = {Elsevier},
  title        = {{TOLs function as ubiquitin receptors in the early steps of the ESCRT pathway in higher plants}},
  doi          = {10.1016/j.molp.2020.02.012},
  volume       = {13},
  year         = {2020},
}

@article{15055,
  abstract     = {<jats:p>Markov decision processes (MDPs) are the defacto framework for sequential decision making in the presence of stochastic uncertainty. A classical optimization criterion for MDPs is to maximize the expected discounted-sum payoff, which ignores low probability catastrophic events with highly negative impact on the system. On the other hand, risk-averse policies require the probability of undesirable events to be below a given threshold, but they do not account for optimization of the expected payoff. We consider MDPs with discounted-sum payoff with failure states which represent catastrophic outcomes. The objective of risk-constrained planning is to maximize the expected discounted-sum payoff among risk-averse policies that ensure the probability to encounter a failure state is below a desired threshold. Our main contribution is an efficient risk-constrained planning algorithm that combines UCT-like search with a predictor learned through interaction with the MDP (in the style of AlphaZero) and with a risk-constrained action selection via linear programming. We demonstrate the effectiveness of our approach with experiments on classical MDPs from the literature, including benchmarks with an order of 106 states.</jats:p>},
  author       = {Brázdil, Tomáš and Chatterjee, Krishnendu and Novotný, Petr and Vahala, Jiří},
  issn         = {2374-3468},
  journal      = {Proceedings of the 34th AAAI Conference on Artificial Intelligence},
  keywords     = {General Medicine},
  location     = {New York, NY, United States},
  number       = {06},
  pages        = {9794--9801},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{Reinforcement learning of risk-constrained policies in Markov decision processes}},
  doi          = {10.1609/aaai.v34i06.6531},
  volume       = {34},
  year         = {2020},
}

@article{15057,
  abstract     = {Vaccinia virus–related kinase (VRK) is an evolutionarily conserved nuclear protein kinase. VRK-1, the single Caenorhabditis elegans VRK ortholog, functions in cell division and germline proliferation. However, the role of VRK-1 in postmitotic cells and adult life span remains unknown. Here, we show that VRK-1 increases organismal longevity by activating the cellular energy sensor, AMP-activated protein kinase (AMPK), via direct phosphorylation. We found that overexpression of vrk-1 in the soma of adult C. elegans increased life span and, conversely, inhibition of vrk-1 decreased life span. In addition, vrk-1 was required for longevity conferred by mutations that inhibit C. elegans mitochondrial respiration, which requires AMPK. VRK-1 directly phosphorylated and up-regulated AMPK in both C. elegans and cultured human cells. Thus, our data show that the somatic nuclear kinase, VRK-1, promotes longevity through AMPK activation, and this function appears to be conserved between C. elegans and humans.},
  author       = {Park, Sangsoon and Artan, Murat and Han, Seung Hyun and Park, Hae-Eun H. and Jung, Yoonji and Hwang, Ara B. and Shin, Won Sik and Kim, Kyong-Tai and Lee, Seung-Jae V.},
  issn         = {2375-2548},
  journal      = {Science Advances},
  number       = {27},
  publisher    = {American Association for the Advancement of Science},
  title        = {{VRK-1 extends life span by activation of AMPK via phosphorylation}},
  doi          = {10.1126/sciadv.aaw7824},
  volume       = {6},
  year         = {2020},
}

@inproceedings{15059,
  abstract     = {In this paper we present a room temperature radiometer that can eliminate the need of using cryostats in satellite payload reducing its weight and improving reliability. The proposed radiometer is based on an electro-optic upconverter that boosts up microwave photons energy by upconverting them into an optical domain what makes them immune to thermal noise even if operating at room temperature. The converter uses a high-quality factor whispering gallery
mode (WGM) resonator providing naturally narrow bandwidth and therefore might be useful for applications like microwave hyperspectral sensing. The upconversion process is explained by
providing essential information about photon conversion efficiency and sensitivity. To prove the concept, we describe an experiment which shows state-of-the-art photon conversion efficiency n=10-5 per mW of pump power at the frequency of 80 GHz.},
  author       = {Wasiak, Michal and Botello, Gabriel Santamaria and Abdalmalak, Kerlos Atia and Sedlmeir, Florian and Rueda Sanchez, Alfredo R and Segovia-Vargas, Daniel and Schwefel, Harald G. L. and Munoz, Luis Enrique Garcia},
  booktitle    = {14th European Conference on Antennas and Propagation},
  location     = {Copenhagen, Denmark},
  publisher    = {IEEE},
  title        = {{Compact millimeter and submillimeter-wave photonic radiometer for cubesats}},
  doi          = {10.23919/eucap48036.2020.9135962},
  year         = {2020},
}

@article{15061,
  abstract     = {The actin cytoskeleton, a dynamic network of actin filaments and associated F-actin–binding proteins, is fundamentally important in eukaryotes. α-Actinins are major F-actin bundlers that are inhibited by Ca2+ in nonmuscle cells. Here we report the mechanism of Ca2+-mediated regulation of Entamoeba histolytica α-actinin-2 (EhActn2) with features expected for the common ancestor of Entamoeba and higher eukaryotic α-actinins. Crystal structures of Ca2+-free and Ca2+-bound EhActn2 reveal a calmodulin-like domain (CaMD) uniquely inserted within the rod domain. Integrative studies reveal an exceptionally high affinity of the EhActn2 CaMD for Ca2+, binding of which can only be regulated in the presence of physiological concentrations of Mg2+. Ca2+ binding triggers an increase in protein multidomain rigidity, reducing conformational flexibility of F-actin–binding domains via interdomain cross-talk and consequently inhibiting F-actin bundling. In vivo studies uncover that EhActn2 plays an important role in phagocytic cup formation and might constitute a new drug target for amoebic dysentery.},
  author       = {Pinotsis, Nikos and Zielinska, Karolina and Babuta, Mrigya and Arolas, Joan L. and Kostan, Julius and Khan, Muhammad Bashir and Schreiner, Claudia and Testa Salmazo, Anita P and Ciccarelli, Luciano and Puchinger, Martin and Gkougkoulia, Eirini A. and Ribeiro, Euripedes de Almeida and Marlovits, Thomas C. and Bhattacharya, Alok and Djinovic-Carugo, Kristina},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {36},
  pages        = {22101--22112},
  publisher    = {National Academy of Sciences},
  title        = {{Calcium modulates the domain flexibility and function of an α-actinin similar to the ancestral α-actinin}},
  doi          = {10.1073/pnas.1917269117},
  volume       = {117},
  year         = {2020},
}

@article{15063,
  abstract     = {We consider the least singular value of a large random matrix with real or complex i.i.d. Gaussian entries shifted by a constant z∈C. We prove an optimal lower tail estimate on this singular value in the critical regime where z is around the spectral edge, thus improving the classical bound of Sankar, Spielman and Teng (SIAM J. Matrix Anal. Appl. 28:2 (2006), 446–476) for the particular shift-perturbation in the edge regime. Lacking Brézin–Hikami formulas in the real case, we rely on the superbosonization formula (Comm. Math. Phys. 283:2 (2008), 343–395).},
  author       = {Cipolloni, Giorgio and Erdös, László and Schröder, Dominik J},
  issn         = {2690-0998},
  journal      = {Probability and Mathematical Physics},
  keywords     = {General Medicine},
  number       = {1},
  pages        = {101--146},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{Optimal lower bound on the least singular value of the shifted Ginibre ensemble}},
  doi          = {10.2140/pmp.2020.1.101},
  volume       = {1},
  year         = {2020},
}

@article{15064,
  abstract     = {We call a continuous self-map that reveals itself through a discrete set of point-value pairs a sampled dynamical system. Capturing the available information with chain maps on Delaunay complexes, we use persistent homology to quantify the evidence of recurrent behavior. We establish a sampling theorem to recover the eigenspaces of the endomorphism on homology induced by the self-map. Using a combinatorial gradient flow arising from the discrete Morse theory for Čech and Delaunay complexes, we construct a chain map to transform the problem from the natural but expensive Čech complexes to the computationally efficient Delaunay triangulations. The fast chain map algorithm has applications beyond dynamical systems.},
  author       = {Bauer, U. and Edelsbrunner, Herbert and Jablonski, Grzegorz and Mrozek, M.},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  number       = {4},
  pages        = {455--480},
  publisher    = {Springer Nature},
  title        = {{Čech-Delaunay gradient flow and homology inference for self-maps}},
  doi          = {10.1007/s41468-020-00058-8},
  volume       = {4},
  year         = {2020},
}

@article{15070,
  abstract     = {This workshop focused on interactions between the various perspectives on the moduli space of Higgs bundles over a Riemann surface. This subject draws on algebraic geometry, geometric topology, geometric analysis and mathematical physics, and the goal was to promote interactions between these various branches of the subject. The main current directions of research were well represented by the participants, and the talks included many from both senior and junior participants.},
  author       = {Anderson, Lara and Hausel, Tamás and Mazzeo, Rafe and Schaposnik, Laura},
  issn         = {1660-8933},
  journal      = {Oberwolfach Reports},
  keywords     = {Organic Chemistry, Biochemistry},
  number       = {2},
  pages        = {1357--1417},
  publisher    = {European Mathematical Society},
  title        = {{Geometry and physics of Higgs bundles}},
  doi          = {10.4171/owr/2019/23},
  volume       = {16},
  year         = {2020},
}

@inproceedings{15071,
  abstract     = {A mesophilic methanogenic culture, designated JL01, was isolated from Holocene permafrost in the Russian Arctic [1]. After long-term extensive cultivation at 15°C it turned out to be a tied binary culture of archaeal (JL01) and bacterial (Sphaerochaeta associata GLS2) strains.
Strain JL01 was a strict anaerobe and grew on methanol, acetate and methylamines as energy and carbon sources. Cells were irregular coccoid, non-motile, non-spore-forming, and Gram-stainpositive. Optimum conditions for growth were 24-28 oC, pH 6.8–7.3 and 0.075-0.1 M NaCl.
Phylogenetic tree reconstructions based on 16S rRNA and concatenated alignment of broadly
conserved protein-coding genes revealed its close relation to Methanosarcina mazei S-6
T (similarity 99.5%). The comparison of whole genomic sequences (ANI) of the isolate and the type strain of M.mazei was 98.5%, which is higher than the values recommended for new species. Thus strain JL01 (=VKM B-2370=JCM 31898) represents the first M. mazei isolated from permanently subzero Arcticsediments. The long-term co-cultivation of JL01 with S. associata GLS2T showed the methane production without any additional carbon and energy sources. Genome analysis of S. associata GLS2T revealed putative genes involved in methanochondroithin catabolism.},
  author       = {Oshurkova, Viktoriia and Troshina, Olga and Trubitsyn, Vladimir and Ryzhmanova, Yana and Bochkareva, Olga and Shcherbakova, Viktoria},
  booktitle    = {Proceedings of 1st International Electronic Conference on Microbiology},
  location     = {Virtual},
  publisher    = {MDPI},
  title        = {{Characterization of methanosarcina mazei JL01 isolated from holocene arctic permafrost and study of the archaeon cooperation with bacterium Sphaerochaeta associata GLS2T}},
  doi          = {10.3390/ecm2020-07116},
  year         = {2020},
}

@article{15072,
  abstract     = {The interaction among fundamental particles in nature leads to many interesting effects in quantum statistical mechanics; examples include superconductivity for charged systems and superfluidity in cold gases. It is a huge challenge for mathematical physics to understand the collective behavior of systems containing a large number of particles, emerging from known microscopic interactions. In this workshop we brought together researchers working on different aspects of many-body quantum mechanics to discuss recent developments, exchange ideas and propose new challenges and research directions.},
  author       = {Hainzl, Christian and Schlein, Benjamin and Seiringer, Robert and Warzel, Simone},
  issn         = {1660-8933},
  journal      = {Oberwolfach Reports},
  number       = {3},
  pages        = {2541--2603},
  publisher    = {European Mathematical Society},
  title        = {{Many-body quantum systems}},
  doi          = {10.4171/owr/2019/41},
  volume       = {16},
  year         = {2020},
}

@inproceedings{15074,
  abstract     = {We introduce a new graph problem, the token dropping game, and we show how to solve it efficiently in a distributed setting. We use the token dropping game as a tool to design an efficient distributed algorithm for the stable orientation problem, which is a special case of the more general locally optimal semi-matching problem. The prior work by Czygrinow et al. (DISC 2012) finds a locally optimal semi-matching in O(Δ⁵) rounds in graphs of maximum degree Δ, which directly implies an algorithm with the same runtime for stable orientations. We improve the runtime to O(Δ⁴) for stable orientations and prove a lower bound of Ω(Δ) rounds.},
  author       = {Brandt, Sebastian and Keller, Barbara and Rybicki, Joel and Suomela, Jukka and Uitto, Jara},
  booktitle    = {34th International Symposium on Distributed Computing},
  location     = {Virtual},
  publisher    = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  title        = {{Brief announcement: Efficient load-balancing through distributed token dropping}},
  doi          = {10.4230/LIPIcs.DISC.2020.40},
  volume       = {179},
  year         = {2020},
}

