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04/02/2023
Resolution-Invariant Image Classification based on Fourier Neural Operators
In this paper we investigate the use of Fourier Neural Operators (FNOs) ...
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11/09/2022
Polarized consensus-based dynamics for optimization and sampling
In this paper we propose polarized consensus-based dynamics in order to ...
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10/17/2022
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian
In this paper we prove the first quantitative convergence rates for the ...
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11/24/2021
Uniform Convergence Rates for Lipschitz Learning on Graphs
Lipschitz learning is a graph-based semi-supervised learning method wher...
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06/04/2021
Neural Architecture Search via Bregman Iterations
We propose a novel strategy for Neural Architecture Search (NAS) based o...
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05/10/2021
A Bregman Learning Framework for Sparse Neural Networks
We propose a learning framework based on stochastic Bregman iterations t...
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03/23/2021
CLIP: Cheap Lipschitz Training of Neural Networks
Despite the large success of deep neural networks (DNN) in recent years,...
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12/07/2020