Physics-infused Machine Learning for Crowd Simulation

Author:

Zhang Guozhen1,Yu Zihan1,Jin Depeng2,Li Yong2

Affiliation:

1. Tsinghua University & TsingRoc, Beijing, China

2. Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Reference38 articles.

1. Social LSTM: Human Trajectory Prediction in Crowded Spaces

2. Brandon Anderson , Truong Son Hy, and Risi Kondor . 2019 . Cormorant : Covariant molecular neural networks. Advances in neural information processing systems, Vol. 32 (2019). Brandon Anderson, Truong Son Hy, and Risi Kondor. 2019. Cormorant: Covariant molecular neural networks. Advances in neural information processing systems, Vol. 32 (2019).

3. Filipe De Avila Belbute-Peres , Thomas Economon , and Zico Kolter . 2020 . Combining differentiable PDE solvers and graph neural networks for fluid flow prediction . In International Conference on Machine Learning. PMLR, 2402--2411 . Filipe De Avila Belbute-Peres, Thomas Economon, and Zico Kolter. 2020. Combining differentiable PDE solvers and graph neural networks for fluid flow prediction. In International Conference on Machine Learning. PMLR, 2402--2411.

4. M Cranmer. 2020. PySR: Fast & parallelized symbolic regression in Python/Julia. M Cranmer. 2020. PySR: Fast & parallelized symbolic regression in Python/Julia.

5. Discovering symbolic models from deep learning with inductive biases;Cranmer Miles;Advances in Neural Information Processing Systems,2020

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