Research map / Optimization / Implicit bias and generalization
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Improved Particle Approximation Error for Mean Field Neural Networks (NeurIPS 2024 · similarity 0.93)
- Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble (ICML 2025 · similarity 0.92)
- Uniform-in-Time Weak Propagation of Chaos in Shallow Neural Networks (NeurIPS 2026 · similarity 0.92)
- Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems (ICLR 2024 · similarity 0.89)
- Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization (ICML 2024 · similarity 0.88)
- Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach (NeurIPS 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
