Wenwu Yu

Distributed Collision-Free Control of MASs by Combining Reinforcement Learning with Filtered Position Barrier Certificates and Applications (I)

THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS

Causal discovery aims to learn causal relationships between variables from targeted data, making it a fundamental task in machine learning. However, causal discovery algorithms often rely on unverifiable causal assumptions, which are usually difficult to satisfy in real-world data, thereby limiting…

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction

With the continuous advancement of neural network methodologies, time series prediction has attracted substantial interest over the past decades. Nonetheless, the interpretability of neural networks is insufficient and the utilization of deep learning techniques for prediction necessitates significa…