A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits
R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 4082–4093.

Sublattice resolved spin wave transport through graphene fractional quantum Hall states as a probe of isospin order
H. Zhou, H. Polshyn, T. Tanaguchi, K. Watanabe, A. Young, in:, APS March Meeting 2020, American Physical Society, 2020.

Correlated states and tunable topological bands in twisted monolayer-bilayer graphene heterostructures
H. Polshyn, J. Zhu, M. Kumar, T. Taniguchi, K. Watanabe, A. MacDonald, A. Young, in:, APS March Meeting 2020, American Physical Society, 2020.

Intrinsic quantized anomalous Hall effect in a moiré heterostructure, part I: Device fabrication and transport
Y. Zhang, M. Serlin, C. Tschirhart, H. Polshyn, J. Zhu, L. Balents, M.E. Huber, T. Taniguchi, K. Watanabe, A. Young, in:, APS March Meeting 2020, American Physical Society, 2020.

Intrinsic quantized anomalous Hall effect in a moiré heterostructure, part II: Temperature dependence and current switching
M. Serlin, C. Tschirhart, H. Polshyn, Y. Zhang, J. Zhu, M.E. Huber, L. Balents, K. Watanabe, T. Tanaguchi, A. Young, in:, APS March Meeting 2020, American Physical Society, 2020.

Intrinsic quantized anomalous Hall effect in a moiré heterostructure, part III: Scanning probe magnetometry
C. Tschirhart, M. Serlin, H. Polshyn, Y. Zhang, J. Zhu, L. Balents, M.E. Huber, K. Watanabe, T. Tanaguchi, A. Young, in:, APS March Meeting 2020, American Physical Society, 2020.

Skyrmion solids in monolayer graphene
H. Zhou, H. Polshyn, T. Taniguchi, K. Watanabe, A.F. Young, Nature Physics 16 (2020) 154–158.

Inducing and exploiting activation sparsity for fast neural network inference
M. Kurtz, J. Kopinsky, R. Gelashvili, A. Matveev, J. Carr, M. Goin, W. Leiserson, S. Moore, B. Nell, N. Shavit, D.-A. Alistarh, in:, 37th International Conference on Machine Learning, ICML 2020, 2020, pp. 5533–5543.

DNA methylation and histone  jointly repress transposable elements and aberrant intragenic transcripts
J. Choi, D.B. Lyons, M.Y. Kim, J.D. Moore, D. Zilberman, Molecular Cell 77 (2020) 310–323.e7.

Universality of random permutations
X. He, M.A. Kwan, Bulletin of the London Mathematical Society 52 (2020) 515–529.

Halfway to Rota’s basis conjecture
M. Buci, M.A. Kwan, A. Pokrovskiy, B. Sudakov, International Mathematics Research Notices 2020 (2020) 8007–8026.

Ramsey graphs induce subgraphs of quadratically many sizes
M.A. Kwan, B. Sudakov, International Mathematics Research Notices 2020 (2020) 1621–1638.

Nearly-linear monotone paths in edge-ordered graphs
M. Buci, M.A. Kwan, A. Pokrovskiy, B. Sudakov, T. Tran, A.Z. Wagner, Israel Journal of Mathematics 238 (2020) 663–685.

Almost all Steiner triple systems have perfect matchings
M.A. Kwan, Proceedings of the London Mathematical Society 121 (2020) 1468–1495.

Dense induced bipartite subgraphs in triangle-free graphs
M.A. Kwan, S. Letzter, B. Sudakov, T. Tran, Combinatorica 40 (2020) 283–305.

Almost all Steiner triple systems are almost resolvable
A. Ferber, M.A. Kwan, Forum of Mathematics 8 (2020).

Topological data analysis in information space
H. Edelsbrunner, Z. Virk, H. Wagner, Journal of Computational Geometry 11 (2020) 162–182.

Scalable belief propagation via relaxed scheduling
V. Aksenov, D.-A. Alistarh, J. Korhonen, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 22361–22372.

WoodFisher: Efficient second-order approximation for neural network compression
S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109.

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, Advances in Neural Information Processing Systems, 2020, pp. 16398–16408.