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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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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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02/24/2021
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
The susceptibility of deep neural networks to untrustworthy predictions,...
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11/05/2020
Sampled Nonlocal Gradients for Stronger Adversarial Attacks
The vulnerability of deep neural networks to small and even imperceptibl...
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04/17/2020
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme
In this work we present an alternative formulation of the higher eigenva...
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08/06/2019
Fenchel Duality for Convex Optimization and a Primal Dual Algorithm on Riemannian Manifolds
This paper introduces a new duality theory that generalizes the classica...
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03/07/2019
Variational Graph Methods for Efficient Point Cloud Sparsification
In recent years new application areas have emerged in which one aims to ...
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02/27/2019
