stochastic differential equation

Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control IJCAI 2025 Posterior Mean Matching: Generative Modeling through Online Bayesian Inference AISTATS 2025 Random ReLU Neural Networks as Non-Gaussian Processes JMLR 2025 Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples ICLR 2025 Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025 Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes ICLR 2025 SRMRI: A Diffusion-Based Super-resolution Framework and Open Dataset for Blind MRI Super-Resolution MIDL 2025 Stochastic Interpolants: A Unifying Framework for Flows and Diffusions JMLR 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025 The Superposition of Diffusion Models Using the Itô Density Estimator ICLR 2025 Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs AISTATS 2025 Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations ICLR 2025 Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models JMLR 2025 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 An Analysis of the Variance of Diffusion-based Speech Enhancement Interspeech 2024 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics ICLR 2024 Causal Modeling with Stationary Diffusions AISTATS 2024 Conditional Velocity Score Estimation for Image Restoration WACV 2024 Conditioning non-linear and infinite-dimensional diffusion processes NeurIPS 2024 Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness NeurIPS 2024 Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024