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Hannah Lawrence
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2020 – today
- 2024
- [c11]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. ICLR 2024 - [c10]Hannah Lawrence, Mitchell Tong Harris:
Learning Polynomial Problems with SL(2, R)-Equivariance. ICLR 2024 - [c9]Nadav Dym, Hannah Lawrence, Jonathan W. Siegel:
Equivariant Frames and the Impossibility of Continuous Canonicalization. ICML 2024 - [i12]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. CoRR abs/2401.01869 (2024) - [i11]Nadav Dym, Hannah Lawrence, Jonathan W. Siegel:
Equivariant Frames and the Impossibility of Continuous Canonicalization. CoRR abs/2402.16077 (2024) - 2023
- [c8]Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry:
Distilling Model Failures as Directions in Latent Space. ICLR 2023 - [c7]Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani:
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS 2023 - [c6]Michael Kapralov
, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth:
Toeplitz Low-Rank Approximation with Sublinear Query Complexity. SODA 2023: 4127-4158 - [i10]Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani:
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR abs/2307.05432 (2023) - [i9]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i8]Hannah Lawrence, Mitchell Tong Harris:
Learning Polynomial Problems with SL(2, ℝ) Equivariance. CoRR abs/2312.02146 (2023) - 2022
- [c5]Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes:
Implicit Bias of Linear Equivariant Networks. ICML 2022: 12096-12125 - [c4]Enric Boix-Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet:
GULP: a prediction-based metric between representations. NeurIPS 2022 - [i7]Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry:
Distilling Model Failures as Directions in Latent Space. CoRR abs/2206.14754 (2022) - [i6]Enric Boix Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet:
GULP: a prediction-based metric between representations. CoRR abs/2210.06545 (2022) - [i5]Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth:
Toeplitz Low-Rank Approximation with Sublinear Query Complexity. CoRR abs/2211.11328 (2022) - 2021
- [c3]Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié:
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. MSML 2021: 516-567 - [i4]Hannah Lawrence, Kristian Georgiev
Implicit Bias of Linear Equivariant Networks. CoRR abs/2110.06084 (2021) - 2020
- [c2]Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco
Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers. ICASSP 2020: 4796-4800 - [c1]Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi:
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition. NeurIPS 2020 - [i3]Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié:
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. CoRR abs/2012.07386 (2020)
2010 – 2019
- 2019
- [i2]Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi:
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition. CoRR abs/1910.10873 (2019) - [i1]Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco:
Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers. CoRR abs/1911.08015 (2019)
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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