@article{9196,
  abstract     = {In order to provide a local description of a regular function in a small neighbourhood of a point x, it is sufficient by Taylor’s theorem to know the value of the function as well as all of its derivatives up to the required order at the point x itself. In other words, one could say that a regular function is locally modelled by the set of polynomials. The theory of regularity structures due to Hairer generalizes this observation and provides an abstract setup, which in the application to singular SPDE extends the set of polynomials by functionals constructed from, e.g., white noise. In this context, the notion of Taylor polynomials is lifted to the notion of so-called modelled distributions. The celebrated reconstruction theorem, which in turn was inspired by Gubinelli’s \textit {sewing lemma}, is of paramount importance for the theory. It enables one to reconstruct a modelled distribution as a true distribution on Rd which is locally approximated by this extended set of models or “monomials”. In the original work of Hairer, the error is measured by means of Hölder norms. This was then generalized to the whole scale of Besov spaces by Hairer and Labbé. It is the aim of this work to adapt the analytic part of the theory of regularity structures to the scale of Triebel–Lizorkin spaces.},
  author       = {Hensel, Sebastian and Rosati, Tommaso},
  issn         = {1730-6337},
  journal      = {Studia Mathematica},
  keywords     = {General Mathematics},
  number       = {3},
  pages        = {251--297},
  publisher    = {Instytut Matematyczny},
  title        = {{Modelled distributions of Triebel–Lizorkin type}},
  doi          = {10.4064/sm180411-11-2},
  volume       = {252},
  year         = {2020},
}

@article{9197,
  abstract     = {In this paper we introduce and study all-pay bidding games, a class of two player, zero-sum games on graphs. The game proceeds as follows. We place a token on some vertex in the graph and assign budgets to the two players. Each turn, each player submits a sealed legal bid (non-negative and below their remaining budget), which is deducted from their budget and the highest bidder moves the token onto an adjacent vertex. The game ends once a sink is reached, and Player 1 pays Player 2 the outcome that is associated with the sink. The players attempt to maximize their expected outcome. Our games model settings where effort (of no inherent value) needs to be invested in an ongoing and stateful manner. On the negative side, we show that even in simple games on DAGs, optimal strategies may require a distribution over bids with infinite support. A central quantity in bidding games is the ratio of the players budgets. On the positive side, we show a simple FPTAS for DAGs, that, for each budget ratio, outputs an approximation for the optimal strategy for that ratio. We also implement it, show that it performs well, and suggests interesting properties of these games. Then, given an outcome c, we show an algorithm for finding the necessary and sufficient initial ratio for guaranteeing outcome c with probability 1 and a strategy ensuring such. Finally, while the general case has not previously been studied, solving the specific game in which Player 1 wins iff he wins the first two auctions, has been long stated as an open question, which we solve.},
  author       = {Avni, Guy and Ibsen-Jensen, Rasmus and Tkadlec, Josef},
  isbn         = {9781577358350},
  issn         = {2374-3468},
  journal      = {Proceedings of the AAAI Conference on Artificial Intelligence},
  location     = {New York, NY, United States},
  number       = {02},
  pages        = {1798--1805},
  publisher    = {Association for the Advancement of Artificial Intelligence},
  title        = {{All-pay bidding games on graphs}},
  doi          = {10.1609/aaai.v34i02.5546},
  volume       = {34},
  year         = {2020},
}

@inproceedings{9202,
  abstract     = {We propose a novel hybridization method for stability analysis that over-approximates nonlinear dynamical systems by switched systems with linear inclusion dynamics. We observe that existing hybridization techniques for safety analysis that over-approximate nonlinear dynamical systems by switched affine inclusion dynamics and provide fixed approximation error, do not suffice for stability analysis. Hence, we propose a hybridization method that provides a state-dependent error which converges to zero as the state tends to the equilibrium point. The crux of our hybridization computation is an elegant recursive algorithm that uses partial derivatives of a given function to obtain upper and lower bound matrices for the over-approximating linear inclusion. We illustrate our method on some examples to demonstrate the application of the theory for stability analysis. In particular, our method is able to establish stability of a nonlinear system which does not admit a polynomial Lyapunov function.},
  author       = {Garcia Soto, Miriam and Prabhakar, Pavithra},
  booktitle    = {2020 IEEE Real-Time Systems Symposium},
  issn         = {2576-3172},
  location     = {Houston, TX, USA },
  pages        = {244--256},
  publisher    = {IEEE},
  title        = {{Hybridization for stability verification of nonlinear switched systems}},
  doi          = {10.1109/RTSS49844.2020.00031},
  year         = {2020},
}

@inproceedings{9221,
  abstract     = {Recent works have shown that gradient descent can find a global minimum for over-parameterized neural networks where the widths of all the hidden layers scale polynomially with N (N being the number of training samples). In this paper, we prove that, for deep networks, a single layer of width N following the input layer suffices to ensure a similar guarantee. In particular, all the remaining layers are allowed to have constant widths, and form a pyramidal topology. We show an application of our result to the widely used LeCun’s initialization and obtain an over-parameterization requirement for the single wide layer of order N2.
},
  author       = {Nguyen, Quynh and Mondelli, Marco},
  booktitle    = {34th Conference on Neural Information Processing Systems},
  location     = {Vancouver, Canada},
  pages        = {11961–11972},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{Global convergence of deep networks with one wide layer followed by pyramidal topology}},
  volume       = {33},
  year         = {2020},
}

@misc{9222,
  author       = {Katsaros, Georgios},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling}},
  doi          = {10.15479/AT:ISTA:9222},
  year         = {2020},
}

@article{9249,
  abstract     = {Rhombic dodecahedron is a space filling polyhedron which represents the close packing of spheres in 3D space and the Voronoi structures of the face centered cubic (FCC) lattice. In this paper, we describe a new coordinate system where every 3-integer coordinates grid point corresponds to a rhombic dodecahedron centroid. In order to illustrate the interest of the new coordinate system, we propose the characterization of 3D digital plane with its topological features, such as the interrelation between the thickness of the digital plane and the separability constraint we aim to obtain. We also present the characterization of 3D digital lines and study it as the intersection of multiple digital planes. Characterization of 3D digital sphere with relevant topological features is proposed as well along with the 48-symmetry appearing in the new coordinate system.},
  author       = {Biswas, Ranita and Largeteau-Skapin, Gaëlle and Zrour, Rita and Andres, Eric},
  issn         = {2353-3390},
  journal      = {Mathematical Morphology - Theory and Applications},
  number       = {1},
  pages        = {143--158},
  publisher    = {De Gruyter},
  title        = {{Digital objects in rhombic dodecahedron grid}},
  doi          = {10.1515/mathm-2020-0106},
  volume       = {4},
  year         = {2020},
}

@inproceedings{9299,
  abstract     = {We call a multigraph non-homotopic if it can be drawn in the plane in such a way that no two edges connecting the same pair of vertices can be continuously transformed into each other without passing through a vertex, and no loop can be shrunk to its end-vertex in the same way. It is easy to see that a non-homotopic multigraph on   n>1  vertices can have arbitrarily many edges. We prove that the number of crossings between the edges of a non-homotopic multigraph with n vertices and   m>4n  edges is larger than   cm2n  for some constant   c>0 , and that this bound is tight up to a polylogarithmic factor. We also show that the lower bound is not asymptotically sharp as n is fixed and   m⟶∞ .},
  author       = {Pach, János and Tardos, Gábor and Tóth, Géza},
  booktitle    = {28th International Symposium on Graph Drawing and Network Visualization},
  isbn         = {9783030687656},
  issn         = {1611-3349},
  location     = {Virtual, Online},
  pages        = {359--371},
  publisher    = {Springer Nature},
  title        = {{Crossings between non-homotopic edges}},
  doi          = {10.1007/978-3-030-68766-3_28},
  volume       = {12590},
  year         = {2020},
}

@article{9308,
  author       = {Avvakumov, Sergey and Wagner, Uli and Mabillard, Isaac and Skopenkov, A. B.},
  issn         = {0036-0279},
  journal      = {Russian Mathematical Surveys},
  number       = {6},
  pages        = {1156--1158},
  publisher    = {IOP Publishing},
  title        = {{Eliminating higher-multiplicity intersections, III. Codimension 2}},
  doi          = {10.1070/RM9943},
  volume       = {75},
  year         = {2020},
}

@article{9526,
  abstract     = {DNA methylation and histone H1 mediate transcriptional silencing of genes and transposable elements, but how they interact is unclear. In plants and animals with mosaic genomic methylation, functionally mysterious methylation is also common within constitutively active housekeeping genes. Here, we show that H1 is enriched in methylated sequences, including genes, of Arabidopsis thaliana, yet this enrichment is independent of DNA methylation. Loss of H1 disperses heterochromatin, globally alters nucleosome organization, and activates H1-bound genes, but only weakly de-represses transposable elements. However, H1 loss strongly activates transposable elements hypomethylated through mutation of DNA methyltransferase MET1. Hypomethylation of genes also activates antisense transcription, which is modestly enhanced by H1 loss. Our results demonstrate that H1 and DNA methylation jointly maintain transcriptional homeostasis by silencing transposable elements and aberrant intragenic transcripts. Such functionality plausibly explains why DNA methylation, a well-known mutagen, has been maintained within coding sequences of crucial plant and animal genes.},
  author       = {Choi, Jaemyung and Lyons, David B. and Kim, M. Yvonne and Moore, Jonathan D. and Zilberman, Daniel},
  issn         = {1097-4164},
  journal      = {Molecular Cell},
  number       = {2},
  pages        = {310--323.e7},
  publisher    = {Elsevier},
  title        = {{DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts}},
  doi          = {10.1016/j.molcel.2019.10.011},
  volume       = {77},
  year         = {2020},
}

@article{9573,
  abstract     = {It is a classical fact that for any ε>0, a random permutation of length n=(1+ε)k2/4 typically contains a monotone subsequence of length k. As a far-reaching generalization, Alon conjectured that a random permutation of this same length n is typically k-universal, meaning that it simultaneously contains every pattern of length k. He also made the simple observation that for n=O(k2logk), a random length-n permutation is typically k-universal. We make the first significant progress towards Alon's conjecture by showing that n=2000k2loglogk suffices.},
  author       = {He, Xiaoyu and Kwan, Matthew Alan},
  issn         = {1469-2120},
  journal      = {Bulletin of the London Mathematical Society},
  number       = {3},
  pages        = {515--529},
  publisher    = {Wiley},
  title        = {{Universality of random permutations}},
  doi          = {10.1112/blms.12345},
  volume       = {52},
  year         = {2020},
}

@article{9576,
  abstract     = {In 1989, Rota made the following conjecture. Given n bases B1,…,Bn in an n-dimensional vector space V⁠, one can always find n disjoint bases of V⁠, each containing exactly one element from each Bi (we call such bases transversal bases). Rota’s basis conjecture remains wide open despite its apparent simplicity and the efforts of many researchers (e.g., the conjecture was recently the subject of the collaborative “Polymath” project). In this paper we prove that one can always find (1/2−o(1))n disjoint transversal bases, improving on the previous best bound of Ω(n/logn)⁠. Our results also apply to the more general setting of matroids.},
  author       = {Bucić, Matija and Kwan, Matthew Alan and Pokrovskiy, Alexey and Sudakov, Benny},
  issn         = {1687-0247},
  journal      = {International Mathematics Research Notices},
  number       = {21},
  pages        = {8007--8026},
  publisher    = {Oxford University Press},
  title        = {{Halfway to Rota’s basis conjecture}},
  doi          = {10.1093/imrn/rnaa004},
  volume       = {2020},
  year         = {2020},
}

@article{9577,
  abstract     = {An n-vertex graph is called C-Ramsey if it has no clique or independent set of size Clogn⁠. All known constructions of Ramsey graphs involve randomness in an essential way, and there is an ongoing line of research towards showing that in fact all Ramsey graphs must obey certain “richness” properties characteristic of random graphs. Motivated by an old problem of Erd̋s and McKay, recently Narayanan, Sahasrabudhe, and Tomon conjectured that for any fixed C, every n-vertex C-Ramsey graph induces subgraphs of Θ(n2) different sizes. In this paper we prove this conjecture.},
  author       = {Kwan, Matthew Alan and Sudakov, Benny},
  issn         = {1687-0247},
  journal      = {International Mathematics Research Notices},
  number       = {6},
  pages        = {1621–1638},
  publisher    = {Oxford University Press},
  title        = {{Ramsey graphs induce subgraphs of quadratically many sizes}},
  doi          = {10.1093/imrn/rny064},
  volume       = {2020},
  year         = {2020},
}

@article{9578,
  abstract     = {How long a monotone path can one always find in any edge-ordering of the complete graph Kn? This appealing question was first asked by Chvátal and Komlós in 1971, and has since attracted the attention of many researchers, inspiring a variety of related problems. The prevailing conjecture is that one can always find a monotone path of linear length, but until now the best known lower bound was n2/3-o(1). In this paper we almost close this gap, proving that any edge-ordering of the complete graph contains a monotone path of length n1-o(1).},
  author       = {Bucić, Matija and Kwan, Matthew Alan and Pokrovskiy, Alexey and Sudakov, Benny and Tran, Tuan and Wagner, Adam Zsolt},
  issn         = {1565-8511},
  journal      = {Israel Journal of Mathematics},
  number       = {2},
  pages        = {663--685},
  publisher    = {Springer},
  title        = {{Nearly-linear monotone paths in edge-ordered graphs}},
  doi          = {10.1007/s11856-020-2035-7},
  volume       = {238},
  year         = {2020},
}

@article{9581,
  abstract     = {We show that for any  𝑛  divisible by 3, almost all order-  𝑛  Steiner triple systems have a perfect matching (also known as a parallel class or resolution class). In fact, we prove a general upper bound on the number of perfect matchings in a Steiner triple system and show that almost all Steiner triple systems essentially attain this maximum. We accomplish this via a general theorem comparing a uniformly random Steiner triple system to the outcome of the triangle removal process, which we hope will be useful for other problems. Our methods can also be adapted to other types of designs; for example, we sketch a proof of the theorem that almost all Latin squares have transversals.},
  author       = {Kwan, Matthew Alan},
  issn         = {1460-244X},
  journal      = {Proceedings of the London Mathematical Society},
  number       = {6},
  pages        = {1468--1495},
  publisher    = {Wiley},
  title        = {{Almost all Steiner triple systems have perfect matchings}},
  doi          = {10.1112/plms.12373},
  volume       = {121},
  year         = {2020},
}

@article{9582,
  abstract     = {The problem of finding dense induced bipartite subgraphs in H-free graphs has a long history, and was posed 30 years ago by Erdős, Faudree, Pach and Spencer. In this paper, we obtain several results in this direction. First we prove that any H-free graph with minimum degree at least d contains an induced bipartite subgraph of minimum degree at least cH log d/log log d, thus nearly confirming one and proving another conjecture of Esperet, Kang and Thomassé. Complementing this result, we further obtain optimal bounds for this problem in the case of dense triangle-free graphs, and we also answer a question of Erdœs, Janson, Łuczak and Spencer.},
  author       = {Kwan, Matthew Alan and Letzter, Shoham and Sudakov, Benny and Tran, Tuan},
  issn         = {1439-6912},
  journal      = {Combinatorica},
  number       = {2},
  pages        = {283--305},
  publisher    = {Springer},
  title        = {{Dense induced bipartite subgraphs in triangle-free graphs}},
  doi          = {10.1007/s00493-019-4086-0},
  volume       = {40},
  year         = {2020},
}

@article{9583,
  abstract     = {We show that for any n divisible by 3, almost all order-n Steiner triple systems admit a decomposition of almost all their triples into disjoint perfect matchings (that is, almost all Steiner triple systems are almost resolvable).},
  author       = {Ferber, Asaf and Kwan, Matthew Alan},
  issn         = {2050-5094},
  journal      = {Forum of Mathematics},
  publisher    = {Cambridge University Press},
  title        = {{Almost all Steiner triple systems are almost resolvable}},
  doi          = {10.1017/fms.2020.29},
  volume       = {8},
  year         = {2020},
}

@article{9630,
  abstract     = {Various kinds of data are routinely represented as discrete probability distributions. Examples include text documents summarized by histograms of word occurrences and images represented as histograms of oriented gradients. Viewing a discrete probability distribution as a point in the standard simplex of the appropriate dimension, we can understand collections of such objects in geometric and topological terms.  Importantly, instead of using the standard Euclidean distance, we look into dissimilarity measures with information-theoretic justification, and we develop the theory needed for applying topological data analysis in this setting. In doing so, we emphasize constructions that enable the usage of existing computational topology software in this context.},
  author       = {Edelsbrunner, Herbert and Virk, Ziga and Wagner, Hubert},
  issn         = {1920-180X},
  journal      = {Journal of Computational Geometry},
  number       = {2},
  pages        = {162--182},
  publisher    = {Carleton University},
  title        = {{Topological data analysis in information space}},
  doi          = {10.20382/jocg.v11i2a7},
  volume       = {11},
  year         = {2020},
}

@inproceedings{9631,
  abstract     = {The ability to leverage large-scale hardware parallelism has been one of the key enablers of the accelerated recent progress in machine learning. Consequently, there has been considerable effort invested into developing efficient parallel variants of classic machine learning algorithms. However, despite the wealth of knowledge on parallelization, some classic machine learning algorithms often prove hard to parallelize efficiently while maintaining convergence. In this paper, we focus on efficient parallel algorithms for the key machine learning task of inference on graphical models, in particular on the fundamental belief propagation algorithm. We address the challenge of efficiently parallelizing this classic paradigm by showing how to leverage scalable relaxed schedulers in this context. We present an extensive empirical study, showing that our approach outperforms previous parallel belief propagation implementations both in terms of scalability and in terms of wall-clock convergence time, on a range of practical applications.},
  author       = {Aksenov, Vitaly and Alistarh, Dan-Adrian and Korhonen, Janne},
  isbn         = {9781713829546},
  issn         = {1049-5258},
  location     = {Vancouver, Canada},
  pages        = {22361--22372},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{Scalable belief propagation via relaxed scheduling}},
  volume       = {33},
  year         = {2020},
}

@inproceedings{9632,
  abstract     = {Second-order information, in the form of Hessian- or Inverse-Hessian-vector products, is a fundamental tool for solving optimization problems. Recently, there has been significant interest in utilizing this information in the context of deep
neural networks; however, relatively little is known about the quality of existing approximations in this context. Our work examines this question, identifies issues with existing approaches, and proposes a method called WoodFisher to compute a faithful and efficient estimate of the inverse Hessian. Our main application is to neural network compression, where we build on the classic Optimal Brain Damage/Surgeon framework. We demonstrate that WoodFisher significantly outperforms popular state-of-the-art methods for oneshot pruning. Further, even when iterative, gradual pruning is allowed, our method results in a gain in test accuracy over the state-of-the-art approaches, for standard image classification datasets such as ImageNet ILSVRC. We examine how our method can be extended to take into account first-order information, as well as
illustrate its ability to automatically set layer-wise pruning thresholds and perform compression in the limited-data regime. The code is available at the following link, https://github.com/IST-DASLab/WoodFisher.},
  author       = {Singh, Sidak Pal and Alistarh, Dan-Adrian},
  isbn         = {9781713829546},
  issn         = {1049-5258},
  location     = {Vancouver, Canada},
  pages        = {18098--18109},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{WoodFisher: Efficient second-order approximation for neural network compression}},
  volume       = {33},
  year         = {2020},
}

@article{9658,
  abstract     = {Macroscopic models of nucleation provide powerful tools for understanding activated phase transition processes. These models do not provide atomistic insights and can thus sometimes lack material-specific descriptions. Here, we provide a comprehensive framework for constructing a continuum picture from an atomistic simulation of homogeneous nucleation. We use this framework to determine the equilibrium shape of the solid nucleus that forms inside bulk liquid for a Lennard-Jones potential. From this shape, we then extract the anisotropy of the solid-liquid interfacial free energy, by performing a reverse Wulff construction in the space of spherical harmonic expansions. We find that the shape of the nucleus is nearly spherical and that its anisotropy can be perfectly described using classical models.},
  author       = {Cheng, Bingqing and Ceriotti, Michele and Tribello, Gareth A.},
  issn         = {1089-7690},
  journal      = {The Journal of Chemical Physics},
  number       = {4},
  publisher    = {AIP Publishing},
  title        = {{Classical nucleation theory predicts the shape of the nucleus in homogeneous solidification}},
  doi          = {10.1063/1.5134461},
  volume       = {152},
  year         = {2020},
}

