NEURIPS "stochastic processes" Papers

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Conference

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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