ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.15386
  4. Cited By
Course Correcting Koopman Representations
v1v2 (latest)

Course Correcting Koopman Representations

23 October 2023
Mahan Fathi
Clement Gehring
Jonathan Pilault
David Kanaa
Pierre-Luc Bacon
Ross Goroshin
ArXiv (abs)PDFHTML

Papers citing "Course Correcting Koopman Representations"

13 / 13 papers shown
Title
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
328
297
0
11 Mar 2023
On the difficulty of learning chaotic dynamics with RNNs
On the difficulty of learning chaotic dynamics with RNNs
Jonas M. Mikhaeil
Zahra Monfared
Daniel Durstewitz
123
59
0
14 Oct 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
115
420
0
24 Feb 2021
Multiscale Simulations of Complex Systems by Learning their Effective
  Dynamics
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas
G. Arampatzis
Caroline Uhler
Petros Koumoutsakos
AI4CE
58
150
0
24 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GPOffRL
234
1,381
0
15 Apr 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
179
152
0
04 Mar 2020
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
92
1,448
0
12 Nov 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton
F. Witherden
A. Jameson
Mykel J. Kochenderfer
AI4CE
68
165
0
18 May 2018
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
81
1,260
0
27 Dec 2017
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
151
2,158
0
14 Nov 2017
Synthesis of recurrent neural networks for dynamical system simulation
Synthesis of recurrent neural networks for dynamical system simulation
Adam Trischler
G. D’Eleuterio
AI4CE
50
82
0
17 Dec 2015
Unitary Evolution Recurrent Neural Networks
Unitary Evolution Recurrent Neural Networks
Martín Arjovsky
Amar Shah
Yoshua Bengio
ODL
84
771
0
20 Nov 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
152
2,039
0
09 Jun 2015
1