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stochastic differential equation

181 papers

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Also known as

SDE

Co-occurring keywords

diffusion model (3751) stochastic gradient descent (1091) variational inference (2069) neural network (6616) gaussian process (1200) image generation (2073) generative model (2892) markov chain monte carlo (725) score-based generative model (30) diffusion process (68)

Papers

Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) NIPS 2021
Diffusion Normalizing Flow NIPS 2021
Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate NIPS 2020
Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares ICML 2020
Infinitely deep neural networks as diffusion processes AISTATS 2020
Predicting Training Time Without Training NIPS 2020
Monotonic Gaussian Process Flows AISTATS 2020
Stochastic Gradient and Langevin Processes ICML 2020
Scalable Gradients for Stochastic Differential Equations AISTATS 2020
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NIPS 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks ICML 2019
The Role of Memory in Stochastic Optimization UAI 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019