@inproceedings{15082,
  abstract     = {Two plane drawings of geometric graphs on the same set of points are called disjoint compatible if their union is plane and they do not have an edge in common. For a given set S of 2n points two plane drawings of perfect matchings M1 and M2 (which do not need to be disjoint nor compatible) are disjoint tree-compatible if there exists a plane drawing of a spanning tree T on S which is disjoint compatible to both M1 and M2.
We show that the graph of all disjoint tree-compatible perfect geometric matchings on 2n points in convex position is connected if and only if 2n ≥ 10. Moreover, in that case the diameter
of this graph is either 4 or 5, independent of n.},
  author       = {Aichholzer, Oswin and Obmann, Julia and Patak, Pavel and Perz, Daniel and Tkadlec, Josef},
  booktitle    = {36th European Workshop on Computational Geometry},
  location     = {Würzburg, Germany, Virtual},
  title        = {{Disjoint tree-compatible plane perfect matchings}},
  year         = {2020},
}

@inproceedings{15086,
  abstract     = {Many communication-efficient variants of SGD use gradient quantization schemes. These schemes are often heuristic and fixed over the course of training. We empirically observe that the statistics of gradients of deep models change during the training. Motivated by this observation, we introduce two adaptive quantization schemes, ALQ and AMQ. In both schemes, processors update their compression schemes in parallel by efficiently computing sufficient statistics of a parametric distribution. We improve the validation accuracy by almost 2% on CIFAR-10 and 1% on ImageNet in challenging low-cost communication setups. Our adaptive methods are also significantly more robust to the choice of hyperparameters.

},
  author       = {Faghri, Fartash  and Tabrizian, Iman  and Markov, Ilia and Alistarh, Dan-Adrian and Roy, Daniel  and Ramezani-Kebrya, Ali },
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713829546},
  location     = {Vancouver, Canada},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{Adaptive gradient quantization for data-parallel SGD}},
  volume       = {33},
  year         = {2020},
}

@article{15286,
  author       = {Fäßler, Florian and Dimchev, Georgi A and Hodirnau, Victor-Valentin and Zens, Bettina and Möhl, Christoph and Bradke, Frank and Schur, Florian KM},
  issn         = {1435-8115},
  journal      = {Microscopy and Microanalysis},
  keywords     = {Instrumentation},
  number       = {S2},
  pages        = {2518--2519},
  publisher    = {Oxford University Press},
  title        = {{Cryo-electron tomography workflows for quantitative analysis of actin networks involved in cell migration}},
  doi          = {10.1017/s1431927620021881},
  volume       = {26},
  year         = {2020},
}

@article{19306,
  author       = {Kazatskaya, Anna and Yuan, Lisa and Amin-Wetzel, Niko Paresh and Philbrook, Alison and de Bono, Mario and Sengupta, Piali},
  issn         = {2578-9430},
  journal      = {microPublication Biology},
  number       = {9},
  publisher    = {Caltech Library},
  title        = {{The URX oxygen-sensing neurons in C. elegans are ciliated}},
  doi          = {10.17912/MICROPUB.BIOLOGY.000303},
  volume       = {2020},
  year         = {2020},
}

@article{5681,
  abstract     = {We introduce dynamically warping grids for adaptive liquid simulation. Our primary contributions are a strategy for dynamically deforming regular grids over the course of a simulation and a method for efficiently utilizing these deforming grids for liquid simulation. Prior work has shown that unstructured grids are very effective for adaptive fluid simulations. However, unstructured grids often lead to complicated implementations and a poor cache hit rate due to inconsistent memory access. Regular grids, on the other hand, provide a fast, fixed memory access pattern and straightforward implementation. Our method combines the advantages of both: we leverage the simplicity of regular grids while still achieving practical and controllable spatial adaptivity. We demonstrate that our method enables adaptive simulations that are fast, flexible, and robust to null-space issues. At the same time, our method is simple to implement and takes advantage of existing highly-tuned algorithms.},
  author       = {Hikaru, Ibayashi and Wojtan, Christopher J and Thuerey, Nils and Igarashi, Takeo and Ando, Ryoichi},
  issn         = {1941-0506},
  journal      = {IEEE Transactions on Visualization and Computer Graphics},
  number       = {6},
  pages        = {2288--2302},
  publisher    = {IEEE},
  title        = {{Simulating liquids on dynamically warping grids}},
  doi          = {10.1109/TVCG.2018.2883628},
  volume       = {26},
  year         = {2020},
}

@article{6184,
  abstract     = {We prove edge universality for a general class of correlated real symmetric or complex Hermitian Wigner matrices with arbitrary expectation. Our theorem also applies to internal edges of the self-consistent density of states. In particular, we establish a strong form of band rigidity which excludes mismatches between location and label of eigenvalues close to internal edges in these general models.},
  author       = {Alt, Johannes and Erdös, László and Krüger, Torben H and Schröder, Dominik J},
  issn         = {0091-1798},
  journal      = {Annals of Probability},
  number       = {2},
  pages        = {963--1001},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{Correlated random matrices: Band rigidity and edge universality}},
  doi          = {10.1214/19-AOP1379},
  volume       = {48},
  year         = {2020},
}

@article{6185,
  abstract     = {For complex Wigner-type matrices, i.e. Hermitian random matrices with independent, not necessarily identically distributed entries above the diagonal, we show that at any cusp singularity of the limiting eigenvalue distribution the local eigenvalue statistics are universal and form a Pearcey process. Since the density of states typically exhibits only square root or cubic root cusp singularities, our work complements previous results on the bulk and edge universality and it thus completes the resolution of the Wigner–Dyson–Mehta universality conjecture for the last remaining universality type in the complex Hermitian class. Our analysis holds not only for exact cusps, but approximate cusps as well, where an extended Pearcey process emerges. As a main technical ingredient we prove an optimal local law at the cusp for both symmetry classes. This result is also the key input in the companion paper (Cipolloni et al. in Pure Appl Anal, 2018. arXiv:1811.04055) where the cusp universality for real symmetric Wigner-type matrices is proven. The novel cusp fluctuation mechanism is also essential for the recent results on the spectral radius of non-Hermitian random matrices (Alt et al. in Spectral radius of random matrices with independent entries, 2019. arXiv:1907.13631), and the non-Hermitian edge universality (Cipolloni et al. in Edge universality for non-Hermitian random matrices, 2019. arXiv:1908.00969).},
  author       = {Erdös, László and Krüger, Torben H and Schröder, Dominik J},
  issn         = {1432-0916},
  journal      = {Communications in Mathematical Physics},
  pages        = {1203--1278},
  publisher    = {Springer Nature},
  title        = {{Cusp universality for random matrices I: Local law and the complex Hermitian case}},
  doi          = {10.1007/s00220-019-03657-4},
  volume       = {378},
  year         = {2020},
}

@article{6358,
  abstract     = {We study dynamical optimal transport metrics between density matricesassociated to symmetric Dirichlet forms on finite-dimensional C∗-algebras.  Our settingcovers  arbitrary  skew-derivations  and  it  provides  a  unified  framework  that  simultaneously  generalizes  recently  constructed  transport  metrics  for  Markov  chains,  Lindblad  equations,  and  the  Fermi  Ornstein–Uhlenbeck  semigroup.   We  develop  a  non-nommutative differential calculus that allows us to obtain non-commutative Ricci curvature  bounds,  logarithmic  Sobolev  inequalities,  transport-entropy  inequalities,  andspectral gap estimates.},
  author       = {Carlen, Eric A. and Maas, Jan},
  issn         = {1572-9613},
  journal      = {Journal of Statistical Physics},
  number       = {2},
  pages        = {319--378},
  publisher    = {Springer Nature},
  title        = {{Non-commutative calculus, optimal transport and functional inequalities  in dissipative quantum systems}},
  doi          = {10.1007/s10955-019-02434-w},
  volume       = {178},
  year         = {2020},
}

@article{6359,
  abstract     = {The strong rate of convergence of the Euler-Maruyama scheme for nondegenerate SDEs with irregular drift coefficients is considered. In the case of α-Hölder drift in the recent literature the rate α/2 was proved in many related situations. By exploiting the regularising effect of the noise more efficiently, we show that the rate is in fact arbitrarily close to 1/2 for all α>0. The result extends to Dini continuous coefficients, while in d=1 also to all bounded measurable coefficients.},
  author       = {Dareiotis, Konstantinos and Gerencser, Mate},
  issn         = {1083-6489},
  journal      = {Electronic Journal of Probability},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift}},
  doi          = {10.1214/20-EJP479},
  volume       = {25},
  year         = {2020},
}

@inbook{19986,
  abstract     = {For non-probabilistic programs, a key question in static analysis is termination, which asks whether a given program terminates under a given initial condition. In the presence of probabilistic behaviour, there are two fundamental extensions of the termination question: (a) the almost-sure termination question, which asks whether the termination probability is 1; and (b) the bounded-time termination question, which asks whether the expected termination time is bounded. There are many active research directions to address these two questions; one important such direction is the use of martingale theory for termination analysis. In this chapter, we survey the main techniques of the martingale-based approach to the termination analysis of probabilistic programs.},
  author       = {Chatterjee, Krishnendu and Fu, Hongfei and Novotný, Petr},
  booktitle    = {Foundations of Probabilistic Programming},
  isbn         = {9781108488518},
  pages        = {221--258},
  publisher    = {Cambridge University Press},
  title        = {{Termination Analysis of Probabilistic Programs with Martingales}},
  doi          = {10.1017/9781108770750.008},
  year         = {2020},
}

@unpublished{10012,
  abstract     = {We prove that in the absence of topological changes, the notion of BV solutions to planar multiphase mean curvature flow does not allow for a mechanism for (unphysical) non-uniqueness. Our approach is based on the local structure of the energy landscape near a classical evolution by mean curvature. Mean curvature flow being the gradient flow of the surface energy functional, we develop a gradient-flow analogue of the notion of calibrations. Just like the existence of a calibration guarantees that one has reached a global minimum in the energy landscape, the existence of a "gradient flow calibration" ensures that the route of steepest descent in the energy landscape is unique and stable.},
  author       = {Fischer, Julian L and Hensel, Sebastian and Laux, Tim and Simon, Thilo},
  booktitle    = {arXiv},
  title        = {{The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions}},
  doi          = {10.48550/arXiv.2003.05478},
  year         = {2020},
}

@unpublished{10022,
  abstract     = {We consider finite-volume approximations of Fokker-Planck equations on bounded convex domains in R^d and study the corresponding gradient flow structures. We reprove the convergence of the discrete to continuous Fokker-Planck equation via the method of Evolutionary Γ-convergence, i.e., we pass to the limit at the level of the gradient flow structures, generalising the one-dimensional result obtained by Disser and Liero. The proof is of variational nature and relies on a Mosco convergence result for functionals in the discrete-to-continuum limit that is of independent interest. Our results apply to arbitrary regular meshes, even though the associated discrete transport distances may fail to converge to the Wasserstein distance in this generality.},
  author       = {Forkert, Dominik L and Maas, Jan and Portinale, Lorenzo},
  booktitle    = {arXiv},
  title        = {{Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions}},
  doi          = {10.48550/arXiv.2008.10962},
  year         = {2020},
}

@inproceedings{10328,
  abstract     = {We discus noise channels in coherent electro-optic up-conversion between microwave and optical fields, in particular due to optical heating. We also report on a novel configuration, which promises to be flexible and highly efficient.},
  author       = {Lambert, Nicholas J. and Mobassem, Sonia and Rueda Sanchez, Alfredo R and Schwefel, Harald G.L.},
  booktitle    = {OSA Quantum 2.0 Conference},
  isbn         = {9-781-5575-2820-9},
  location     = {Washington, DC, United States},
  publisher    = {Optica Publishing Group},
  title        = {{New designs and noise channels in electro-optic microwave to optical up-conversion}},
  doi          = {10.1364/QUANTUM.2020.QTu8A.1},
  year         = {2020},
}

@inproceedings{10556,
  abstract     = {In this paper, we present the first Asynchronous Distributed Key Generation (ADKG) algorithm which is also the first distributed key generation algorithm that can generate cryptographic keys with a dual (f,2f+1)-threshold (where f is the number of faulty parties). As a result, using our ADKG we remove the trusted setup assumption that the most scalable consensus algorithms make. In order to create a DKG with a dual (f,2f+1)- threshold we first answer in the affirmative the open question posed by Cachin et al. [7] on how to create an Asynchronous Verifiable Secret Sharing (AVSS) protocol with a reconstruction threshold of f+1<k łe 2f+1, which is of independent interest. Our High-threshold-AVSS (HAVSS) uses an asymmetric bivariate polynomial to encode the secret. This enables the reconstruction of the secret only if a set of k nodes contribute while allowing an honest node that did not participate in the sharing phase to recover his share with the help of f+1 honest parties. Once we have HAVSS we can use it to bootstrap scalable partially synchronous consensus protocols, but the question on how to get a DKG in asynchrony remains as we need a way to produce common randomness. The solution comes from a novel Eventually Perfect Common Coin (EPCC) abstraction that enables the generation of a common coin from n concurrent HAVSS invocations. EPCC's key property is that it is eventually reliable, as it might fail to agree at most f times (even if invoked a polynomial number of times). Using EPCC we implement an Eventually Efficient Asynchronous Binary Agreement (EEABA) which is optimal when the EPCC agrees and protects safety when EPCC fails. Finally, using EEABA we construct the first ADKG which has the same overhead and expected runtime as the best partially-synchronous DKG (O(n4) words, O(f) rounds). As a corollary of our ADKG, we can also create the first Validated Asynchronous Byzantine Agreement (VABA) that does not need a trusted dealer to setup threshold signatures of degree n-f. Our VABA has an overhead of expected O(n2) words and O(1) time per instance, after an initial O(n4) words and O(f) time bootstrap via ADKG.},
  author       = {Kokoris Kogias, Eleftherios and Malkhi, Dahlia and Spiegelman, Alexander},
  booktitle    = {Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security},
  isbn         = {978-1-4503-7089-9},
  location     = {Virtual, United States},
  pages        = {1751–1767},
  publisher    = {Association for Computing Machinery},
  title        = {{Asynchronous distributed key generation for computationally-secure randomness, consensus, and threshold signatures}},
  doi          = {10.1145/3372297.3423364},
  year         = {2020},
}

@misc{10557,
  abstract     = {Data storage and retrieval systems, methods, and computer-readable media utilize a cryptographically verifiable data structure that facilitates verification of a transaction in a decentralized peer-to-peer environment using multi-hop backwards and forwards links. Backward links are cryptographic hashes of past records. Forward links are cryptographic signatures of future records that are added retroactively to records once the target block has been appended to the data structure.},
  author       = {Ford, Bryan and Gasse, Linus and Kokoris Kogias, Eleftherios and Jovanovic, Philipp},
  title        = {{Cryptographically verifiable data structure having multi-hop forward and backwards links and associated systems and methods}},
  year         = {2020},
}

@inproceedings{10672,
  abstract     = {The family of feedback alignment (FA) algorithms aims to provide a more biologically motivated alternative to backpropagation (BP), by substituting the computations that are unrealistic to be implemented in physical brains. While FA algorithms have been shown to work well in practice, there is a lack of rigorous theory proofing their learning capabilities. Here we introduce the first feedback alignment algorithm with provable learning guarantees. In contrast to existing work, we do not require any assumption about the size or depth of the network except that it has a single output neuron, i.e., such as for binary classification tasks. We show that our FA algorithm can deliver its theoretical promises in practice, surpassing the learning performance of existing FA methods and matching backpropagation in binary classification tasks. Finally, we demonstrate the limits of our FA variant when the number of output neurons grows beyond a certain quantity.},
  author       = {Lechner, Mathias},
  booktitle    = {8th International Conference on Learning Representations},
  location     = {Virtual ; Addis Ababa, Ethiopia},
  publisher    = {ICLR},
  title        = {{Learning representations for binary-classification without backpropagation}},
  year         = {2020},
}

@inproceedings{10673,
  abstract     = {We propose a neural information processing system obtained by re-purposing the function of a biological neural circuit model to govern simulated and real-world control tasks. Inspired by the structure of the nervous system of the soil-worm, C. elegans, we introduce ordinary neural circuits (ONCs), defined as the model of biological neural circuits reparameterized for the control of alternative tasks. We first demonstrate that ONCs realize networks with higher maximum flow compared to arbitrary wired networks. We then learn instances of ONCs to control a series of robotic tasks, including the autonomous parking of a real-world rover robot. For reconfiguration of the purpose of the neural circuit, we adopt a search-based optimization algorithm. Ordinary neural circuits perform on par and, in some cases, significantly surpass the performance of contemporary deep learning models. ONC networks are compact, 77% sparser than their counterpart neural controllers, and their neural dynamics are fully interpretable at the cell-level.},
  author       = {Hasani, Ramin and Lechner, Mathias and Amini, Alexander and Rus, Daniela and Grosu, Radu},
  booktitle    = {Proceedings of the 37th International Conference on Machine Learning},
  issn         = {2640-3498},
  location     = {Virtual},
  pages        = {4082--4093},
  title        = {{A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits}},
  year         = {2020},
}

@misc{17444,
  abstract     = {The first wafer-scale growth of site-controlled Ge/Si nanowires is reported by Georgios Katsaros, Jian-Jun Zhang, and co-workers in article number 1906523. They are highly uniform and their position, distance, length, and even square- or L-shaped structures can all be precisely controlled. The electrically tunable spin-orbit coupling demonstrated by transport measurements and the charge sensing between quantum dots in closely spaced wires open a path toward scalable qubit devices using nanowires on silicon.},
  author       = {Gao, Fei and Wang, Jian‐Huan and Watzinger, Hannes and Hu, Hao and Rančić, Marko J. and Zhang, Jie‐Yin and Wang, Ting and Yao, Yuan and Wang, Gui‐Lei and Kukucka, Josip and Vukušić, Lada and Kloeffel, Christoph and Loss, Daniel and Liu, Feng and Katsaros, Georgios and Zhang, Jian‐Jun},
  booktitle    = {Advanced Materials},
  issn         = {1521-4095},
  number       = {16},
  publisher    = {Wiley},
  title        = {{Nanowires: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling (Adv. Mater. 16/2020)}},
  doi          = {10.1002/adma.202070122},
  volume       = {32},
  year         = {2020},
}

@article{177,
  abstract     = {We develop a geometric version of the circle method and use it to compute the compactly supported cohomology of the space of rational curves through a point on a smooth affine hypersurface of sufficiently low degree.},
  author       = {Browning, Timothy D and Sawin, Will},
  journal      = {Annals of Mathematics},
  number       = {3},
  pages        = {893--948},
  publisher    = {Princeton University},
  title        = {{A geometric version of the circle method}},
  doi          = {10.4007/annals.2020.191.3.4},
  volume       = {191},
  year         = {2020},
}

@article{179,
  abstract     = {An asymptotic formula is established for the number of rational points of bounded anticanonical height which lie on a certain Zariski dense subset of the biprojective hypersurface x1y21+⋯+x4y24=0 in ℙ3×ℙ3. This confirms the modified Manin conjecture for this variety, in which the removal of a thin set of rational points is allowed.},
  author       = {Browning, Timothy D and Heath Brown, Roger},
  issn         = {0012-7094},
  journal      = {Duke Mathematical Journal},
  number       = {16},
  pages        = {3099--3165},
  publisher    = {Duke University Press},
  title        = {{Density of rational points on a quadric bundle in ℙ3×ℙ3}},
  doi          = {10.1215/00127094-2020-0031},
  volume       = {169},
  year         = {2020},
}

