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2008.10135
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Learning Dynamical Systems with Side Information
23 August 2020
Amir Ali Ahmadi
Bachir El Khadir
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Papers citing
"Learning Dynamical Systems with Side Information"
22 / 22 papers shown
Title
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Learning Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces and Random Features
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Olav Egeland
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SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger
Hugo Tadashi M. Kussaba
Lingyun Chen
Luis F. C. Figueredo
Abdalla Swikir
A. Billard
Sami Haddadin
91
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13 Mar 2024
Machine learning for industrial sensing and control: A survey and practical perspective
Nathan P. Lawrence
S. Damarla
Jong Woo Kim
Aditya Tulsyan
Faraz Amjad
Kai Wang
Benoît Chachuat
Jong Min Lee
Biao Huang
R. Bhushan Gopaluni
AI4CE
72
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24 Jan 2024
Learning of Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces
Torbjorn Smith
Olav Egeland
46
2
0
15 Dec 2023
Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
Morgan Jones
42
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0
11 Dec 2023
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu
Xiaoyu He
Petr Rysavý
Quan-Gen Zhou
Georgios Korpas
148
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03 Nov 2023
Learning to Predict 3D Rotational Dynamics from Images of a Rigid Body with Unknown Mass Distribution
J. Mason
Christine Allen-Blanchette
Nicholas Zolman
Elizabeth Davison
Naomi Leonard
3DH
32
4
0
24 Aug 2023
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert
Ryan Cory-Wright
Cristina Cornelio
S. Dash
Bachir El Khadir
L. Horesh
71
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0
18 Aug 2023
Safely Learning Dynamical Systems
Amir Ali Ahmadi
A. Chaudhry
Vikas Sindhwani
Stephen Tu
52
3
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20 May 2023
Refining Human-Centered Autonomy Using Side Information
Adam J. Thorpe
116
0
0
09 May 2023
Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial Optimization
J. Bramburger
Giovanni Fantuzzi
67
10
0
02 Mar 2023
Approximation of optimization problems with constraints through kernel Sum-Of-Squares
Pierre-Cyril Aubin-Frankowski
Alessandro Rudi
43
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16 Jan 2023
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control
Adam J. Thorpe
Cyrus Neary
Franck Djeumou
Meeko Oishi
Ufuk Topcu
73
7
0
09 Jan 2023
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body
J. Mason
Christine Allen-Blanchette
Nicholas Zolman
Elizabeth Davison
Naomi Ehrich Leonard
3DH
AI4CE
99
8
0
23 Sep 2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
Franck Djeumou
Ufuk Topcu
29
4
0
19 Jun 2021
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. R. Geist
Sebastian Trimpe
AI4CE
90
17
0
11 Dec 2020
Safely Learning Dynamical Systems from Short Trajectories
Amir Ali Ahmadi
A. Chaudhry
Vikas Sindhwani
Stephen Tu
61
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0
24 Nov 2020
Learning ODE Models with Qualitative Structure Using Gaussian Processes
Steffen Ridderbusch
Christian Offen
Sina Ober-Blobaum
Paul Goulart
67
15
0
10 Nov 2020
Learning Stable Models for Prediction and Control
Giorgos Mamakoukas
Ian Abraham
Todd Murphey
85
39
0
08 May 2020
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