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08/11/2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
Robust pedestrian trajectory forecasting is crucial to developing safe a...
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03/19/2023
Randomized Adversarial Training via Taylor Expansion
In recent years, there has been an explosion of research into developing...
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01/23/2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Spiking neural networks (SNNs), a variant of artificial neural networks ...
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12/22/2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (c-MARL) is widely applie...
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03/11/2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Adversarial training has been shown to be one of the most effective appr...
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01/23/2022
Weight Expansion: A New Perspective on Dropout and Generalization
While dropout is known to be a successful regularization technique, insi...
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01/22/2022
Neuronal Correlation: a Central Concept in Neural Network
This paper proposes to study neural networks through neuronal correlatio...
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10/12/2020