stochastic differential equation

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing CVPR 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Fast Ensembling with Diffusion Schrödinger Bridge ICLR 2024 FESSNC: Fast Exponentially Stable and Safe Neural Controller ICML 2024 Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD ICML 2024 IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model NeurIPS 2024 Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting ICLR 2024 Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models NeurIPS 2024 Lipschitz Singularities in Diffusion Models ICLR 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition AAAI 2024 Neural Jump-Diffusion Temporal Point Processes ICML 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural structure learning with stochastic differential equations ICLR 2024 On the Hyperparameters in Stochastic Gradient Descent with Momentum JMLR 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks JMLR 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Residual Learning in Diffusion Models CVPR 2024 Revisiting the Noise Model of Stochastic Gradient Descent AISTATS 2024