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08/15/2023
Near-Optimal Last-iterate Convergence of Policy Optimization in Zero-sum Polymatrix Markov games
Computing approximate Nash equilibria in multi-player general-sum Markov...
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05/10/2023
Direct imaging methods for reconstructing a locally rough interface from phaseless total-field data or phased far-field data
This paper is concerned with the problem of inverse scattering of time-h...
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03/08/2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning
In recent years, contrastive learning achieves impressive results on sel...
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03/04/2023
A Nyström method for scattering by a two-layered medium with a rough boundary
This paper presents a study on the integral equation method and the Nyst...
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06/29/2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Due to the over-smoothing issue, most existing graph neural networks can...
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03/25/2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Recently, contrastive learning has risen to be a promising approach for ...
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03/25/2022
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Adversarial Training (AT) is known as an effective approach to enhance t...
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10/28/2021
Residual Relaxation for Multi-view Representation Learning
Multi-view methods learn representations by aligning multiple views of t...
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07/01/2021
Reparameterized Sampling for Generative Adversarial Networks
Recently, sampling methods have been successfully applied to enhance the...
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02/22/2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have attracted more and more attenti...
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07/02/2020
Decoder-free Robustness Disentanglement without (Additional) Supervision
Adversarial Training (AT) is proposed to alleviate the adversarial vulne...
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01/28/2020