Noether Networks: Meta-Learning Useful Conserved Quantities

Noether Networks: Meta-Learning Useful Conserved Quantities

6 December 2021

Dylan D. Doblar

Kenji Kawaguchi

Papers citing "Noether Networks: Meta-Learning Useful Conserved Quantities"

11 / 11 papers shown

Title
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 54 0 0 31 Dec 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 16 0 0 07 Oct 2024
Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm Ron Teichner Ron Meir Michael Margaliot 17 0 0 05 May 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 42 55 0 10 Oct 2023
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 15 5 0 24 Apr 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 24 26 0 20 Feb 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 255 1,394 0 01 Dec 2016