Combining Slow and Fast: Complementary Filtering for Dynamics Learning

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Combining Slow and Fast: Complementary Filtering for Dynamics Learning

27 February 2023

Sebastian Ziesche

Barbara Rakitsch

Michael Tiemann

Sebastian Trimpe

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Papers citing "Combining Slow and Fast: Complementary Filtering for Dynamics Learning"

9 / 9 papers shown

Title
The Wheelbot: A Jumping Reaction Wheel Unicycle A. R. Geist J. Fiene Naomi Tashiro Zheng-Yu Jia Sebastian Trimpe 82 9 0 14 Jul 2022
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 60 56 0 05 Jun 2021
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 73 135 0 09 Oct 2020
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction Henning Lange Steven L. Brunton N. Kutz AI4TS 70 80 0 01 Apr 2020
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery T. Stepleton Razvan Pascanu Will Dabney Siddhant M. Jayakumar Hubert Soyer Rémi Munos 78 4 0 13 May 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 69 123 0 31 Jan 2018
The Statistical Recurrent Unit Junier B. Oliva Barnabás Póczós J. Schneider 53 50 0 01 Mar 2017
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency Shiliang Zhang Cong Liu Hui Jiang Si Wei Lirong Dai Yu Hu 67 76 0 28 Dec 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 23,370 0 03 Jun 2014

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