Yiping Lu

Assistant Professor@Northwestern University·美国·OpenReview

研究方向

Diffusion Model · Inference Time Scaling · Optimization · Reproducing Kernel Hilbert Space · Non-parametric. Statistics · Semi-parametric. Statistics · Stochastic Simulation · Stochastic Process · Numerical Differential Equation · Optimal Transport · Deep Learning · Machine Learning · Image Processing · Calculus of variations

4.5

Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations

ICLR 2026Poster

通讯

4.0

Unary Feedback as Observation: Incentivizing Self-Reflection in Large Language Models via Multi-Turn RL

ICLR 2026Rejected

3.5

Physics-Informed Interpolator Generalizes Well in Fixed Dimension: Inductive Bias and Benign Overfitting

合作者 (20)

Yiping Lu

Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations

Unary Feedback as Observation: Incentivizing Self-Reflection in Large Language Models via Multi-Turn RL

Unveiling the Scaling Law of PINNs under Non-Euclidean Geometry

Federated Agent Reinforcement Learning

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents

Physics-Informed Interpolator Generalizes Well in Fixed Dimension: Inductive Bias and Benign Overfitting