Latent Dynamics Models
Latent Dynamics Models is a type of dynamics model in robot learning that represents environment transitions in a compressed, unobserved (latent) state space, enabling efficient and accurate prediction of future states by capturing essential physical or behavioral patterns while filtering out sensory redundancies.
187
Publications
11.3K
Citations
665
Authors
303
Institutions
Publications per year
2017–2026
136
Parents
187
Stock price prediction using LSTM, RNN and CNN-sliding window model
Sreelekshmy Selvin, R. Vinayakumar, E. A. Gopalakrishnan et al. · 2017 · 1K citations
Patrick J. Curran, Sierra A. Bainter, Stephanie Lane et al. · Journal of Consulting and Clinical Psychology · 2013 · 487 citations · Full text
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer et al. · arXiv (Cornell University) · 2018 · 367 citations · Full text
Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang et al. · UvA-DARE (University of Amsterdam) · 2018 · 284 citations · Full text
Computing, Computer Science, Physics +15
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303
Georgia Institute of Technology
Atlanta, United States
6 h-index
18 publications
504 citations
Harvard University
Cambridge, United States
6 h-index
18 publications
369 citations
National University of Singapore
Singapore, Singapore
6 h-index
17 publications
834 citations
University of Washington
Seattle, United States
6 h-index
7 publications
205 citations
Stanford University
Stanford, United States
6 h-index
24 publications
2.1K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
17 publications
1.5K citations

Imperial College London
London, United Kingdom
6 h-index
12 publications
788 citations
University of California San Diego
San Diego, United States
5 h-index
7 publications
308 citations
1–8 of 303
Repository · 35 publications · 1.8K citations
20
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Repository · 5 publications · 106 citations
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Conference · 4 publications · 100 citations
4
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4 publications · 363 citations
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SEM · 4 publications · 325 citations
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1–5