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08/17/2023
Half-Hop: A graph upsampling approach for slowing down message passing
Message passing neural networks have shown a lot of success on graph-str...
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10/10/2022
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Data augmentation (DA) is a powerful workhorse for bolstering performanc...
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06/22/2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
Heavy Ball (HB) nowadays is one of the most popular momentum methods in ...
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11/03/2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Meaningful and simplified representations of neural activity can yield i...
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06/05/2021
Escaping Saddle Points Faster with Stochastic Momentum
Stochastic gradient descent (SGD) with stochastic momentum is popular in...
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02/19/2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
State-of-the-art methods for self-supervised learning (SSL) build repres...
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12/21/2020
Making transport more robust and interpretable by moving data through a small number of anchor points
Optimal transport (OT) is a widely used technique for distribution align...
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06/04/2020