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Ruihong Shen

2 accepted papers

2026

Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields

ICLR 2026poster

Predicting physical dynamics from raw visual data remains a major challenge in AI. While recent video generation models have achieved impressive visual quality, they still cannot consistently generate physically plausible videos due to a lack of modeling of physical laws. Recent approaches combining…

Cited by 0SourcecodeScholar
2026

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning

ICLR 2026poster

Physical reasoning is a remarkable human ability that enables rapid learning and generalization from limited experience. Current AI models, despite extensive training, still struggle to achieve similar generalization, especially in Out-of-distribution (OOD) settings. This limitation stems from their…

Cited by 0SourcecodeScholar