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06/12/2023
Robust Reinforcement Learning through Efficient Adversarial Herding
Although reinforcement learning (RL) is considered the gold standard for...
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06/05/2023
Deep Generalized Green's Functions
In this study, we address the challenge of obtaining a Green's function ...
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05/19/2023
Few-Shot Continual Learning for Conditional Generative Adversarial Networks
In few-shot continual learning for generative models, a target mode must...
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02/08/2023
PASTA: Pessimistic Assortment Optimization
We consider a class of assortment optimization problems in an offline da...
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02/03/2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Unsupervised domain adaptation (UDA) is a technique used to transfer kno...
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10/01/2022
Causal Knowledge Transfer from Task Affinity
Recent developments in deep representation models through counterfactual...
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01/22/2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Recently Reinforcement Learning (RL) has been applied as an anti-adversa...
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11/26/2021
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Numerous physical systems are described by ordinary or partial different...
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10/05/2021