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Author

Hannah Lawrence

Artificial intelligence for science in quantum, atomistic, and continuum systems
2025 · Xuan Zhang, Limei Wang, et al. · Foundations and Trends® in Machine Learning · 208
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Distilling Model Failures as Directions in Latent Space
2022 · Jain, Saachi, Lawrence, Hannah, et al. · arXiv (Cornell University) · 59
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Equivariant Frames and the Impossibility of Continuous Canonicalization
2024 · Dym, Nadav, Lawrence, Hannah, et al. · arXiv (Cornell University) · 20
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Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
2023 · Grégoire Mialon, Quentin Garrido, et al. · neural information processing systems · 14
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Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
2019 · Chen, Lin, Yu, Qian, et al. · arXiv (Cornell University) · 14
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Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
2020 · Lawrence, Hannah, Barmherzig, David A., et al. · arXiv (Cornell University) · 11
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Implicit Bias of Linear Equivariant Networks
2021 · Lawrence, Hannah, Georgiev, Kristian, et al. · arXiv (Cornell University) · 8
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GULP: A Prediction-Based Metric Between Representations
2022 · Enric Boix-Adsera, Hannah Lawrence, et al. · neural information processing systems · 7
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On the hardness of learning under symmetries
2024 · Kiani, Bobak T., Le, Thien, et al. · arXiv (Cornell University) · 6
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Improving Equivariant Networks with Probabilistic Symmetry Breaking
2025 · Lawrence, Hannah, Portilheiro, Vasco, et al. · arXiv (Cornell University) · 5
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Toeplitz Low-Rank Approximation with Sublinear Query Complexity
2023 · Michael Kapralov, Hannah Lawrence, et al. · Society for Industrial and Applied Mathematics eBooks · 5
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Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers
2020 · Hannah Lawrence, Jerry Li, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 5
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Any-Subgroup Equivariant Networks via Symmetry Breaking
2026 · Goel, Abhinav, Lim, Derek, et al. · arXiv (Cornell University) · 2
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Quantitative Approximation Rates for Group Equivariant Learning
2026 · Siegel, Jonathan W., Hordan, Snir, et al. · arXiv (Cornell University) · 2
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Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance
2023 · Lawrence, Hannah, Harris, Mitchell Tong · arXiv (Cornell University) · 1
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Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network
2021 · Hannah Lawrence, David A. Barmherzig, et al. · OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES) · 1
PairIT: Autoregressive Transformers for Low-Data Molecule Optimization
2026 · Lawrence, Hannah, Vani, Bodhi P., et al. · arXiv (Cornell University)
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To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
2025 · Lawrence, Hannah, Hofgard, Elyssa, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 368
H-index: 7
I10-index: 6
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