Picture for Hannah Lawrence

Hannah Lawrence

Equivariant Frames and the Impossibility of Continuous Canonicalization

Add code
Feb 25, 2024
Viaarxiv icon

On the hardness of learning under symmetries

Add code
Jan 03, 2024
Viaarxiv icon

Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance

Add code
Dec 04, 2023
Viaarxiv icon

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Add code
Jul 17, 2023
Viaarxiv icon

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Add code
Jul 11, 2023
Viaarxiv icon

GULP: a prediction-based metric between representations

Add code
Oct 12, 2022
Figure 1 for GULP: a prediction-based metric between representations
Figure 2 for GULP: a prediction-based metric between representations
Figure 3 for GULP: a prediction-based metric between representations
Figure 4 for GULP: a prediction-based metric between representations
Viaarxiv icon

Distilling Model Failures as Directions in Latent Space

Add code
Jun 29, 2022
Figure 1 for Distilling Model Failures as Directions in Latent Space
Figure 2 for Distilling Model Failures as Directions in Latent Space
Figure 3 for Distilling Model Failures as Directions in Latent Space
Figure 4 for Distilling Model Failures as Directions in Latent Space
Viaarxiv icon

Implicit Bias of Linear Equivariant Networks

Add code
Oct 12, 2021
Figure 1 for Implicit Bias of Linear Equivariant Networks
Figure 2 for Implicit Bias of Linear Equivariant Networks
Figure 3 for Implicit Bias of Linear Equivariant Networks
Figure 4 for Implicit Bias of Linear Equivariant Networks
Viaarxiv icon

Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging

Add code
Dec 15, 2020
Figure 1 for Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Figure 2 for Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Figure 3 for Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Figure 4 for Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Viaarxiv icon

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition

Add code
Nov 05, 2019
Viaarxiv icon