conftrace_

brownian motion

15 papers

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Co-occurring keywords

variational inference (2069) stochastic differential equation (181) stochastic calculus (2) generative adversarial network (1944) variational autoencoder (1288) riemannian geometry (68) stochastic process (388) optimal transport (948) uncertainty quantification (1393) hitting time (8)

Papers

Continuous Prediction with Experts' Advice JMLR 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NIPS 2024
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
Stabilizing GANs’ Training with Brownian Motion Controller ICML 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
Sampling From a Schrödinger Bridge AISTATS 2023
An Embedding-Dynamic Approach to Self-Supervised Learning WACV 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Neural SDEs as Infinite-Dimensional GANs ICML 2021
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NIPS 2021
Efficient and Accurate Gradients for Neural SDEs NIPS 2021
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Optimistic optimization of a Brownian NIPS 2018
From random walks to distances on unweighted graphs NIPS 2015