Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

10 July 2019

Jan Peters

Papers citing "Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning"

50 / 211 papers shown

Title
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation Wenxuan Li Hang Zhao Zhiyuan Yu Yu Du Qin Zou Ruizhen Hu K. Xu SSL 78 1 0 23 Apr 2025
Towards Safe Robot Foundation Models Maximilian Tölle Theo Gruner Daniel Palenicek J. Gunster Puze Liu Joe Watson Davide Tateo Jan Peters OffRL 51 0 0 10 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms Brandon Johns Zhuomin Zhou Elahe Abdi PINN 3DV 65 0 0 27 Feb 2025
Stable Port-Hamiltonian Neural Networks Fabian J. Roth Dominik K. Klein Maximilian Kannapinn Jan Peters Oliver Weeger 72 1 0 04 Feb 2025
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models Muhammad Saad Zia Ashiq Anjum Lu Liu Anthony Conway Anasol Pena Rios PINN AI4CE 67 0 0 18 Nov 2024
Lagrangian neural networks for nonholonomic mechanics Viviana Alejandra Diaz Leandro Martin Salomone Marcela Zuccalli 32 1 0 31 Oct 2024
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 39 0 0 31 Oct 2024
PACER: Physics Informed Uncertainty Aware Climate Emulator Hira Saleem Flora Salim Cormac Purcell 18 0 0 29 Oct 2024
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl Noémie Jaquier Jens Lundell Tamim Asfour Danica Kragic AI4CE 28 0 0 24 Oct 2024
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models Jacob Levy T. Westenbroek David Fridovich-Keil 23 7 0 11 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems Alejandro Castañeda Garcia J. C. V. Gemert Daan Brinks Nergis Tömen 38 0 0 02 Oct 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho Minju Jo Haksoo Lim Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park PINN AI4CE 30 15 1 18 Aug 2024
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators Mohamed Abdelwahab Giulio Giacomuzzo Alberto Dalla Libera R. Carli 33 1 0 20 Jun 2024
Amortized Equation Discovery in Hybrid Dynamical Systems Yongtuo Liu Sara Magliacane Miltiadis Kofinas E. Gavves 18 2 0 06 Jun 2024
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic L. Zheng Sanghyun Son Jing Liang Xijun Wang Brian Clipp Ming-Chyuan Lin 45 0 0 03 Jun 2024
Lagrangian Neural Networks for Reversible Dissipative Evolution V. Sundararaghavan Megna N. Shah Jeff P. Simmons PINN 30 0 0 23 May 2024
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving Zhipeng Zhao Bowen Li Yi Du Taimeng Fu Chen Wang 22 6 0 02 Apr 2024
Learning a Formally Verified Control Barrier Function in Stochastic Environment Manan Tayal Hongchao Zhang Pushpak Jagtap Andrew Clark Shishir N Y Kolathaya 23 13 0 28 Mar 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds Yating Lin Glen Chou Dmitry Berenson OODD 33 0 0 18 Mar 2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework Yubo Ye Sumeet Vadhavkar Xiajun Jiang R. Missel Huafeng Liu Linwei Wang 34 0 0 13 Mar 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control Wenhan Cao Wei Pan 28 0 0 27 Feb 2024
Loss Function Considering Dead Zone for Neural Networks Koki Inami Koki Yamane S. Sakaino 17 2 0 01 Feb 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 28 0 0 25 Jan 2024
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling Nicholas Galioto Harsh Sharma Boris Kramer Alex Arkady Gorodetsky 38 0 0 23 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 28 10 0 17 Jan 2024
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure Haoyu Chu Yuto Miyatake Wenjun Cui Shikui Wei Daisuke Furihata PINN 18 1 0 10 Jan 2024
Generalized Lagrangian Neural Networks Shanshan Xiao Jiawei Zhang Yifa Tang PINN 11 1 0 08 Jan 2024
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 23 0 0 26 Dec 2023
PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment Minwoo Shin Minjee Seo Seonaeng Cho Juil Park J. Kwon Deukhee Lee Kyungho Yoon AI4CE 17 0 0 21 Dec 2023
A charge-preserving method for solving graph neural diffusion networks Lidia Aceto Pietro Antonio Grassi 32 0 0 16 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 22 4 0 01 Dec 2023
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification Giulio Giacomuzzo Alberto Dalla Libera Diego Romeres R. Carli 20 2 0 10 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 43 0 0 27 Sep 2023
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control Abdullah Altawaitan Jason Stanley Sambaran Ghosal T. Duong Nikolay A. Atanasov 27 1 0 17 Sep 2023
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains Md Nasim Yexiang Xue 8 0 0 13 Sep 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 37 18 0 25 Aug 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 25 2 0 24 Aug 2023
Hamiltonian GAN Christine Allen-Blanchette GAN AI4CE 27 1 0 22 Aug 2023
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations Shamil Mamedov A. R. Geist Jan Swevers Sebastian Trimpe AI4CE 21 2 0 16 Jul 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks S. Bishnoi Ravinder Bhattoo J. Jayadeva Sayan Ranu N. M. A. Krishnan PINN AI4CE 34 1 0 11 Jul 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception Junwon Seo Jungwi Mun Taekyung Kim 18 4 0 26 Jun 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers Kai Lagemann C. Lagemann Swarnava Mukherjee 34 2 0 21 Jun 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints Alistair J R White Niki Kilbertus Maximilian Gelbrecht Niklas Boers 20 6 0 16 Jun 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou Cyrus Neary Ufuk Topcu DiffM 24 8 0 10 Jun 2023
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides Sharmila Karumuri Ilias Bilionis 17 2 0 31 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 25 9 0 24 May 2023