conftrace_

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

Expressive probabilistic sampling in recurrent neural networks NIPS 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NIPS 2023
Latent SDEs on Homogeneous Spaces NIPS 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NIPS 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NIPS 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise NIPS 2023
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NIPS 2023
Gaussian Mixture Solvers for Diffusion Models NIPS 2023
Score-based Generative Models with Lévy Processes NIPS 2023
Traversing Time with Multi-Resolution Gaussian Process State-Space Models L4DC 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NIPS 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022
Diffusion Generative Vocoder for Fullband Speech Synthesis Based on Weak Third-order SDE Solver INTERSPEECH 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NIPS 2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization NIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022
Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NIPS 2022
Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NIPS 2022