Rui Wang

Affiliations:
  • Massachusetts Institute of Technology, Boston, MA, USA
  • University of California San Diego, Department of Computer Science & Engineering, La Jolla, CA, USA (PhD 2023)
  • Northeastern University, Boston, MA, USA (2017 - 2019)


According to our database1, Rui Wang authored at least 12 papers between 2020 and 2023.

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Bibliography

2023
Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems.
CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts.
CoRR, 2022

Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting.
CoRR, 2022

Meta-Learning Dynamics Forecasting Using Task Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Approximately Equivariant Networks for Imperfectly Symmetric Dynamics.
Proceedings of the International Conference on Machine Learning, 2022

2021
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Aortic Pressure Forecasting with Deep Sequence Learning.
CoRR, 2020

Towards Physics-informed Deep Learning for Turbulent Flow Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Aortic Pressure Forecasting With Deep Learning.
Proceedings of the Computing in Cardiology, 2020


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