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07/11/2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Machine learning for differential equations paves the way for computatio...
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11/21/2022
Toeplitz Low-Rank Approximation with Sublinear Query Complexity
We present a sublinear query algorithm for outputting a near-optimal low...
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10/12/2022
GULP: a prediction-based metric between representations
Comparing the representations learned by different neural networks has r...
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06/29/2022
Distilling Model Failures as Directions in Latent Space
Existing methods for isolating hard subpopulations and spurious correlat...
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10/12/2021
Implicit Bias of Linear Equivariant Networks
Group equivariant convolutional neural networks (G-CNNs) are generalizat...
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12/14/2020
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Phase retrieval is the inverse problem of recovering a signal from magni...
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11/19/2019
Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers
We study how to estimate a nearly low-rank Toeplitz covariance matrix T ...
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10/24/2019