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08/11/2023
Learning nonparametric DAGs with incremental information via high-order HSIC
Score-based methods for learning Bayesain networks(BN) aim to maximizing...
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04/24/2023
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Cooperative perception enabled by V2X Communication technologies can sig...
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12/17/2021
Functional Linear Regression for Partially Observed Functional Data
In the functional linear regression model, many methods have been propos...
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10/17/2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Anderson mixing has been heuristically applied to reinforcement learning...
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10/07/2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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08/03/2020
LiDAR point-cloud processing based on projection methods: a comparison
An accurate and rapid-response perception system is fundamental for auto...
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06/16/2020
Isometric Graph Neural Networks
Many tasks that rely on representations of nodes in graphs would benefit...
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03/07/2020
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction
Precise trajectory prediction of surrounding vehicles is critical for de...
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07/12/2019