Hannah Lawrence
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Improving Equivariant Networks with Probabilistic Symmetry Breaking. | Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Skou-Oumar Kaba |
| 2024 | ICLR | On the hardness of learning under symmetries. | Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber |
| 2024 | ICLR | Learning Polynomial Problems with SL(2, R)-Equivariance. | Hannah Lawrence, Mitchell Tong Harris |
| 2024 | ICML | Equivariant Frames and the Impossibility of Continuous Canonicalization. | Nadav Dym, Hannah Lawrence, Jonathan W. Siegel |
| 2023 | ICLR | Distilling Model Failures as Directions in Latent Space. | Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry |
| 2023 | SODA | Toeplitz Low-Rank Approximation with Sublinear Query Complexity. | Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth |
| 2022 | ICML | Implicit Bias of Linear Equivariant Networks. | Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes |
| 2020 | ICASSP | Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers. | Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco |