Variational Sampling of Temporal Trajectories

Variational Sampling of Temporal Trajectories

18 March 2024

Jurijs Nazarovs

Rudrasis Chakraborty

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Papers citing "Variational Sampling of Temporal Trajectories"

12 / 12 papers shown

Title
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee Jincheng Bai Qifan Song Guang Cheng BDL 48 40 0 15 Nov 2020
Neural Rough Differential Equations for Long Time Series James Morrill C. Salvi Patrick Kidger James Foster Terry Lyons AI4TS 71 133 0 17 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 80 915 0 08 Jul 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 71 208 0 22 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 111 481 0 18 May 2020
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 87 2,128 0 27 May 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 166 210 0 23 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 443 5,168 0 19 Jun 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,260 0 27 Dec 2017
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Amir Shahroudy Jun Liu T. Ng G. Wang 256 2,496 0 11 Apr 2016
Bayesian inference for diffusion driven mixed-effects models G. Whitaker Andrew Golightly R. Boys Chris Sherlock 45 28 0 24 Jul 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014