3 papers
cs.LG2026
PILIR: Physics-Informed Local Implicit Representation
Jianfeng Li, Feng Wang, Ke Tang
Physics-Informed Neural Networks have become a powerful mesh-free method for solving partial differential equations, but their performance is often limited by spectral bias. Specif…
cs.CE2025
Towards Calibrating Financial Market Simulators with High-frequency Data
Peng Yang, Junji Ren, Feng Wang +1
The fidelity of financial market simulation is restricted by the so-called "non-identifiability" difficulty when calibrating high-frequency data. This paper first analyzes the inhe…
cs.LG2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Bingdong Li, Zixiang Di, Yongfan Lu +5
Multi-objective Bayesian optimization (MOBO) has shown promising performance on various expensive multi-objective optimization problems (EMOPs). However, effectively modeling compl…