5 papers
Solving Physics Olympiad via Reinforcement Learning on Physics Simulators
Mihir Prabhudesai, Aryan Satpathy, Yangmin Li +6
We have witnessed remarkable advances in LLM reasoning capabilities with the advent of DeepSeek-R1. However, much of this progress has been fueled by the abundance of internet ques…
GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting
Yangming Li, Chaoyu Liu, Lihao Liu +2
A few recent works explored incorporating geometric priors to regularize the optimization of Gaussian splatting, further improving its performance. However, those early studies mai…
Adaptive Correction for Ensuring Conservation Laws in Neural Operators
Chaoyu Liu, Yangming Li, Zhongying Deng +2
Physical laws, such as the conversation of mass and momentum, are fundamental principles in many physical systems. Neural operators have achieved promising performance in learning…
Generative Unordered Flow for Set-Structured Data Generation
Yangming Li, Chaoyu Liu, Carola-Bibiane Schönlieb
Flow-based generative models have demonstrated promising performance across a broad spectrum of data modalities (e.g., image and text). However, there are few works exploring their…
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space
Yangming Li, Chieh-Hsin Lai, Carola-Bibiane Schönlieb +2
Deep Generative Models (DGMs), including Energy-Based Models (EBMs) and Score-based Generative Models (SGMs), have advanced high-fidelity data generation and complex continuous dis…