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

17 May 2019

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

8 / 58 papers shown

Title
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Vaisakh Shaj P. Becker Le Chen Harit Pandya Niels van Duijkeren C. J. Taylor Marc Hanheide Gerhard Neumann AI4CE 11 14 0 20 Oct 2020
Few-shot model-based adaptation in noisy conditions Karol Arndt Ali Ghadirzadeh Murtaza Hazara Ville Kyrki 9 8 0 16 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 33 132 0 09 Oct 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting Amirreza Farnoosh Bahar Azari Sarah Ostadabbas BDL AI4TS 18 20 0 10 Sep 2020
Deep Markov Spatio-Temporal Factorization Amirreza Farnoosh B. Rezaei Eli Sennesh Zulqarnain Khan Jennifer Dy Ajay Satpute J. B. Hutchinson Jan-Willem van de Meent Sarah Ostadabbas AI4TS 15 4 0 22 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 93 289 0 03 Mar 2020
Deep Variational Luenberger-type Observer for Stochastic Video Prediction Dong Wang Feng Zhou Zheng Yan Guang Yao Zongxuan Liu Wennan Ma Cewu Lu 39 0 0 12 Feb 2020
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained Mehmet Özgür Türkoglu Stefano Dáronco Jan Dirk Wegner Konrad Schindler 14 47 0 25 Nov 2019