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Duc Thien Nguyen

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation

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Feb 25, 2025
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Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning

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Sep 08, 2024
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Multilinear Kernel Regression and Imputation via Manifold Learning

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Feb 06, 2024
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Multi-Linear Kernel Regression and Imputation in Data Manifolds

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Apr 06, 2023
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Fast Temporal Wavelet Graph Neural Networks

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Feb 25, 2023
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Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming

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Feb 27, 2022
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Probabilistic Inference for Learning from Untrusted Sources

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Jan 15, 2021
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Variational Bayesian Inference for Crowdsourcing Predictions

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Jun 02, 2020
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Policy Gradient With Value Function Approximation For Collective Multiagent Planning

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Apr 09, 2018
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Dynamic Stochastic Orienteering Problems for Risk-Aware Applications

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Oct 16, 2012
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