fokker-planck equation

Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning ICLR 2025 Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation ICLR 2025 Score-based free-form architectures for high-dimensional Fokker-Planck equations ICLR 2025 Simulation-Free Differential Dynamics Through Neural Conservation Laws UAI 2025 A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NeurIPS 2024 A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024 Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale ICML 2024 Path-Guided Particle-based Sampling ICML 2024 Theoretical insights for diffusion guidance: A case study for Gaussian mixture models ICML 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NeurIPS 2023 FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation ICML 2023 GANs as Gradient Flows that Converge JMLR 2023 Self-Consistent Velocity Matching of Probability Flows NeurIPS 2023 Understanding DDPM Latent Codes Through Optimal Transport ICLR 2023 Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022 Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information IJCAI 2022 Self-Consistency of the Fokker Planck Equation COLT 2022 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NeurIPS 2021 Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics ICML 2020 Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach NeurIPS 2019 Stein Variational Gradient Descent as Gradient Flow NeurIPS 2017