stochastic differential equation

Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech ICML 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021 Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021 Neural SDEs as Infinite-Dimensional GANs ICML 2021 Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021 Noisy Recurrent Neural Networks NeurIPS 2021 On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021 On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) NeurIPS 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NeurIPS 2021 Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021 Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 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 Infinitely deep neural networks as diffusion processes AISTATS 2020 Monotonic Gaussian Process Flows AISTATS 2020 On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020 Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020 Predicting Training Time Without Training NeurIPS 2020 Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate NeurIPS 2020 Scalable Gradients for Stochastic Differential Equations AISTATS 2020