115 citations · 231 across the 17 of their papers we have counts for
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stat.ML2021★ 4 cited
Learning particle swarming models from data with Gaussian processes
Jinchao Feng, Charles Kulick, Yunxiang Ren +1
Interacting particle or agent systems that display a rich variety of swarming behaviours are ubiquitous in science and engineering. A fundamental and challenging goal is to underst…
stat.ML2020★ 2 cited
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems
Jason Miller, Sui Tang, Ming Zhong +1
Modeling the complex interactions of systems of particles or agents is a fundamental scientific and mathematical problem that is studied in diverse fields, ranging from physics and…
stat.ML2019★ 42 cited
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
Fei Lu, Mauro Maggioni, Sui Tang
Systems of interacting particles or agents have wide applications in many disciplines such as Physics, Chemistry, Biology and Economics. These systems are governed by interaction l…