Skip to content
conftrace_

mean field theory

44 papers

MFT

Papers

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks JMLR 2026 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Cascade of phase transitions in the training of energy-based models NeurIPS 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-field Chaos Diffusion Models ICML 2024 Mean Field Theory in Deep Metric Learning ICLR 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ICLR 2024 Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective NeurIPS 2024 Adversarial Training from Mean Field Perspective NeurIPS 2023 Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NeurIPS 2023 On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization ICML 2023 Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems ICML 2023 A time-resolved theory of information encoding in recurrent neural networks NeurIPS 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022 Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training NeurIPS 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 On the geometry of generalization and memorization in deep neural networks ICLR 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 An analytic theory of shallow networks dynamics for hinge loss classification NeurIPS 2020 Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory NeurIPS 2020 Critical initialisation in continuous approximations of binary neural networks ICLR 2020 Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020