Deep Bayesian Filter for Bayes-faithful Data Assimilation

29 May 2024

Papers citing "Deep Bayesian Filter for Bayes-faithful Data Assimilation"

19 / 19 papers shown

Title
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu Tri Dao Mamba 124 2,636 0 01 Dec 2023
Deep Learning for Day Forecasts from Sparse Observations Marcin Andrychowicz L. Espeholt Di Li Samier Merchant Alexander Merose Fred Zyda Shreya Agrawal Nal Kalchbrenner AI4Cl 64 65 0 06 Jun 2023
Reduced-Order Autodifferentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 59 10 0 27 Jan 2023
Deep Latent State Space Models for Time-Series Generation Linqi Zhou Michael Poli Winnie Xu Stefano Massaroli Stefano Ermon BDL AI4TS 46 35 0 24 Dec 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 184 1,761 0 31 Oct 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 52 279 0 21 Jul 2021
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 70 36 0 16 Jul 2021
Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix Dmitrii Kochkov Jamie A. Smith Daniel Cremers M. Brenner Stephan Hoyer 51 30 0 22 Feb 2021
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 68 214 0 28 Aug 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney AI4TS AI4CE 135 149 0 04 Mar 2020
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking Heng Fan Liting Lin Fan Yang Peng Chu Ge Deng Sijia Yu Hexin Bai Yong-mei Xu Chunyuan Liao Haibin Ling VOT 154 1,163 0 20 Sep 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 67 1,245 0 27 Dec 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 58 283 0 16 Oct 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 43 370 0 12 Oct 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 86 456 0 30 Sep 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 109 397 0 24 May 2016
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 67 372 0 16 Nov 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 82 1,256 0 07 Jun 2015
On the Stability of Sequential Monte Carlo Methods in High Dimensions A. Beskos Dan Crisan Ajay Jasra 110 172 0 21 Mar 2011