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conftrace_

stochastic differential equation

242 papers

SDE

Papers

Score-based Continuous-time Discrete Diffusion Models ICLR 2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS 2023 Score-based Generative Models with Lévy Processes NeurIPS 2023 SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NeurIPS 2023 The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit NeurIPS 2023 Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics ICLR 2023 Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement Interspeech 2023 Why (and When) does Local SGD Generalize Better than SGD? ICLR 2023 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Bayesian Continuous-Time Tucker Decomposition ICML 2022 Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NeurIPS 2022 Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022 Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022 Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme ICLR 2022 Diffusion Generative Vocoder for Fullband Speech Synthesis Based on Weak Third-order SDE Solver Interspeech 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations NeurIPS 2022 Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay NeurIPS 2022 High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NeurIPS 2022 Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions NeurIPS 2022 Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022 Learning Fractional White Noises in Neural Stochastic Differential Equations NeurIPS 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022 Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information IJCAI 2022