Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
126 2023 Distilling Model Failures as Directions in Latent Space S Jain, H Lawrence, A Moitra, A Madry
arXiv preprint arXiv:2206.14754, 2022
77 2022 Minimax regret of switching-constrained online convex optimization: No phase transition L Chen, Q Yu, H Lawrence, A Karbasi
Advances in Neural Information Processing Systems 33, 3477-3486, 2020
29 2020 Self-supervised learning with lie symmetries for partial differential equations G Mialon, Q Garrido, H Lawrence, D Rehman, Y LeCun, B Kiani
Advances in Neural Information Processing Systems 36, 28973-29004, 2023
17 2023 Implicit Bias of Linear Equivariant Networks H Lawrence, K Georgiev, A Dienes, BT Kiani
arXiv preprint arXiv:2110.06084, 2021
17 2021 Equivariant Frames and the Impossibility of Continuous Canonicalization N Dym, H Lawrence, JW Siegel
arXiv preprint arXiv:2402.16077, 2024
16 2024 Phase retrieval with holography and untrained priors: Tackling the challenges of low-photon nanoscale imaging H Lawrence, DA Barmherzig, H Li, M Eickenberg, M Gabrié
arXiv preprint arXiv:2012.07386, 2020
14 2020 GULP: a prediction-based metric between representations E Boix-Adsera, H Lawrence, G Stepaniants, P Rigollet
Advances in Neural Information Processing Systems 35, 7115-7127, 2022
12 2022 On the hardness of learning under symmetries BT Kiani, T Le, H Lawrence, S Jegelka, M Weber
arXiv preprint arXiv:2401.01869, 2024
10 2024 Low-rank Toeplitz matrix estimation via random ultra-sparse rulers H Lawrence, J Li, C Musco, C Musco
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
5 2020 Improving Equivariant Networks with Probabilistic Symmetry Breaking H Lawrence, V Portilheiro, Y Zhang, SO Kaba
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024
4 2024 Toeplitz Low-Rank Approximation with Sublinear Query Complexity M Kapralov, H Lawrence, M Makarov, C Musco, K Sheth
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
4 2023 Learning Polynomial Problems with H Lawrence, MT Harris
The Twelfth International Conference on Learning Representations, 2023
3 2023 Barron's Theorem for Equivariant Networks H Lawrence
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
2 2022 Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network H Lawrence, DA Barmherzig, M Eickenberg, M Gabrie
Optical Sensors, JTu5A. 19, 2021
2 2021 Positional Encodings as Group Representations: A Unified Framework D Lim, H Lawrence, NT Huang, EH Thiede
1 2023 Practical Phase Retrieval: Low-Photon Holography with Untrained Priors H Lawrence, D Barmherzig, H Li, M Eickenberg, M Gabrié
2020 