Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.11206
Cited By
v1
v2 (latest)
Learning Contact Dynamics using Physically Structured Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
22 February 2021
Andreas Hochlehnert
Alexander Terenin
Steindór Sæmundsson
M. Deisenroth
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Contact Dynamics using Physically Structured Neural Networks"
11 / 11 papers shown
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
International Conference on Learning Representations (ICLR), 2024
Katharina Friedl
Noémie Jaquier
Jens Lundell
Tamim Asfour
Jens Lundell
AI4CE
596
7
0
24 Oct 2024
Simultaneous Learning of Contact and Continuous Dynamics
Conference on Robot Learning (CoRL), 2023
Bibit Bianchini
Mathew Halm
Michael Posa
373
17
0
18 Oct 2023
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Mechanical systems and signal processing (MSSP), 2022
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
265
134
0
13 Apr 2022
Learning Trajectories of Hamiltonian Systems with Neural Networks
International Conference on Artificial Neural Networks (ICANN), 2022
Katsiaryna Haitsiukevich
Alexander Ilin
178
5
0
11 Apr 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
International Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Samuel Stanton
A. Wilson
AI4CE
265
50
0
10 Feb 2022
One-Shot Transfer Learning of Physics-Informed Neural Networks
Shaan Desai
M. Mattheakis
H. Joy
P. Protopapas
Stephen J. Roberts
PINN
AI4CE
390
74
0
21 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
376
80
0
05 Oct 2021
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
J. Wong
Viktor Makoviychuk
Anima Anandkumar
Yuke Zhu
175
16
0
02 Oct 2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
Neural Information Processing Systems (NeurIPS), 2021
Michael Poli
Stefano Massaroli
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
Animesh Garg
AI4TS
AI4CE
587
11
0
08 Jun 2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
Conference on Learning for Dynamics & Control (L4DC), 2021
Aaron J. Havens
Girish Chowdhary
PINN
OOD
AI4CE
167
9
0
05 Jun 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Neural Information Processing Systems (NeurIPS), 2021
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
323
44
0
12 Feb 2021
1
Page 1 of 1
