Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces

17 May 2019

P. Becker

Harit Pandya

Gregor H. W. Gebhardt

Papers citing "Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces"

50 / 58 papers shown

Title
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking Jirong Zha Yuxuan Fan Kai Li Han Li Chen Gao Xinlei Chen Yong Li 7 0 0 18 May 2025
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems Xintong Wang Xiaofei Guan Ling Guo Hao Wu BDL 53 0 0 22 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 82 1 0 20 Feb 2025
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators Naichang Ke Ryogo Tanaka Yoshinobu Kawahara 41 0 0 06 Jan 2025
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity Emiliyan Gospodinov Vaisakh Shaj P. Becker Stefan Geyer Gerhard Neumann 39 0 0 02 Nov 2024
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 80 3 0 16 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 46 0 0 08 Oct 2024
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 49 4 0 04 Oct 2024
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter Yifan Zhan Zhuoxiao Li Muyao Niu Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng 29 1 0 18 Jul 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty P. Becker Niklas Freymuth Gerhard Neumann Mamba 26 2 0 21 Jun 2024
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering Itay Buchnik G. Sagi Nimrod Leinwand Yuval Loya Nir Shlezinger T. Routtenberg 32 5 0 28 Nov 2023
Learning Multimodal Latent Dynamics for Human-Robot Interaction V. Prasad Lea Heitlinger Dorothea Koert R. Stock-Homburg Jan Peters Georgia Chalvatzaki 48 3 0 27 Nov 2023
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 33 3 0 27 Oct 2023
Disentangling Voice and Content with Self-Supervision for Speaker Recognition Tianchi Liu Kong Aik Lee Qiongqiong Wang Haizhou Li BDL DRL 35 31 0 02 Oct 2023
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos Rama Krishna Kandukuri Michael Strecke Joerg Stueckler 39 2 0 27 Sep 2023
Latent SDEs on Homogeneous Spaces Sebastian Zeng Florian Graf Roland Kwitt BDL 43 7 0 28 Jun 2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 36 3 0 20 Jun 2023
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems Fiona Lippert Bart Kranstauber E. E. V. Loon Patrick Forré BDL AI4CE 16 0 0 14 Jun 2023
DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup Anubhab Ghosh Antoine Honoré S. Chatterjee 26 20 0 04 Jun 2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts Jan Achterhold Philip Tobuschat Hao Ma Dieter Buechler Michael Muehlebach Joerg Stueckler 14 6 0 24 May 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 30 1 0 18 Mar 2023
Grounding Graph Network Simulators using Physical Sensor Observations Jonas Linkerhägner Niklas Freymuth Paul Maria Scheikl F. Mathis-Ullrich Gerhard Neumann AI4CE 32 11 0 23 Feb 2023
Physics-informed inference of aerial animal movements from weather radar data Fiona Lippert Bart Kranstauber E. E. V. Loon Patrick Forré 36 1 0 08 Nov 2022
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 29 3 0 01 Nov 2022
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction V. Prasad Dorothea Koert R. Stock-Homburg Jan Peters Georgia Chalvatzaki 40 11 0 22 Oct 2022
The Software Stack That Won the Formula Student Driverless Competition Andres Alvarez Nico Denner Zhe Feng David Fischer Yang Gao ... Alexander Terletskiy Luca Wahl Shaoxiang Wang Jonona Yakupova Hao Yu 17 6 0 20 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 40 8 0 29 Jun 2022
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models Sibo Cheng Jianhua Chen Charitos Anastasiou P. Angeli Omar K. Matar Yi-Ke Guo Christopher C. Pain Rossella Arcucci AI4CE 44 60 0 07 Apr 2022
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 26 31 0 19 Dec 2021
Deep Measurement Updates for Bayes Filters Johannes Pankert M. Minniti Lorenz Wellhausen Marco Hutter 21 1 0 01 Dec 2021
Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer Mazin Eltayeb Stefan Lessmann Maja R. Rudolph BDL AI4TS 22 83 0 22 Nov 2021
Switching Recurrent Kalman Networks Giao Nguyen-Quynh P. Becker Chen Qiu Maja R. Rudolph Gerhard Neumann BDL 6 3 0 16 Nov 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 25 5 0 08 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 25 1 0 02 Nov 2021
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 36 10 0 01 Nov 2021
Unsupervised Learned Kalman Filtering Guy Revach Nir Shlezinger Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 31 31 0 18 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models Itzik Klein Guy Revach Nir Shlezinger Jonas E. Mehr Ruud J. G. van Sloun Yonina C. Eldar 35 13 0 10 Oct 2021
Self-Supervised Inference in State-Space Models David Ruhe Patrick Forré BDL 27 4 0 28 Jul 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 31 266 0 21 Jul 2021
Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting Armand Jordana Justin Carpentier Ludovic Righetti AI4CE 36 5 0 22 Jun 2021
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion Amirreza Farnoosh Sarah Ostadabbas 13 3 0 18 Jun 2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization C. Schymura Benedikt T. Bönninghoff Tsubasa Ochiai Marc Delcroix K. Kinoshita Tomohiro Nakatani S. Araki D. Kolossa 27 24 0 07 Jun 2021
Out-of-Distribution Robustness with Deep Recursive Filters Kapil D. Katyal I-J. Wang Gregory D. Hager UQCV 15 0 0 06 Apr 2021
Learning needle insertion from sample task executions Amir M. Ghalamzan-E. 16 3 0 14 Mar 2021
Data Assimilation in the Latent Space of a Neural Network Maddalena Amendola Rossella Arcucci Laetitia Mottet César Quilodrán-Casas S. Fan Christopher C. Pain P. Linden Yi-Ke Guo 13 14 0 22 Dec 2020
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations H. Hashempour Kiyanoush Nazari Fangxun Zhong Ghalamzan E. Amir 17 4 0 04 Dec 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020