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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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02/22/2023
Equivariant Polynomials for Graph Neural Networks
Graph Neural Networks (GNN) are inherently limited in their expressive p...
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02/06/2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Self-supervised learning (SSL) has emerged as a powerful framework to le...
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09/29/2022
Joint Embedding Self-Supervised Learning in the Kernel Regime
The fundamental goal of self-supervised learning (SSL) is to produce use...
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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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09/23/2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
Group convolutions and cross-correlations, which are equivariant to the ...
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10/29/2020
Quantum advantage for differential equation analysis
Quantum algorithms for both differential equation solving and for machin...
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04/13/2020
