NEURIPS 2025 "stochastic processes" Papers
5 papers found
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang, Yingbin Liang, Lifeng LAI et al.
NEURIPS 2025posterarXiv:2509.16756
1
citations
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Javier E. Santos, Agnese Marcato, Roman Colman et al.
NEURIPS 2025spotlightarXiv:2505.01917
1
citations
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
NEURIPS 2025poster
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models
Qianyue Hao, Yiwen Song, Qingmin Liao et al.
NEURIPS 2025spotlightarXiv:2505.15293
3
citations
Test Time Scaling for Neural Processes
Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.
NEURIPS 2025poster