Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

2 December 2022

Papers citing "Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning"

31 / 31 papers shown

Title
Nature's Cost Function: Simulating Physics by Minimizing the Action Tim Strang Isabella Caruso S. Greydanus 26 3 0 03 Mar 2023
Metalearning generalizable dynamics from trajectories Qiaofeng Li Tianyi Wang V. Roychowdhury M. Jawed AI4CE 79 10 0 03 Jan 2023
Constants of motion network M. F. Kasim Yi Heng Lim 47 5 0 22 Aug 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 37 41 0 10 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 97 34 0 01 Feb 2022
Vector Quantized Diffusion Model for Text-to-Image Synthesis Shuyang Gu Dong Chen Jianmin Bao Fang Wen Bo Zhang Dongdong Chen Lu Yuan B. Guo DiffM 115 781 0 29 Nov 2021
The Impact of Reinitialization on Generalization in Convolutional Neural Networks Ibrahim Alabdulmohsin Hartmut Maennel Daniel Keysers AI4CE 36 20 0 01 Sep 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 38 31 0 08 Jun 2021
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 39 13 0 23 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 57 32 0 20 Feb 2021
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints Marc Finzi Ke Alexander Wang A. Wilson AI4CE 53 127 0 26 Oct 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 289 1,950 0 11 Apr 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 160 426 0 10 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 186 18,523 0 13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 218 42,038 0 03 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 258 19,824 0 23 Oct 2019
Variational Integrator Networks for Physically Structured Embeddings Steindór Sæmundsson Alexander Terenin Katja Hofmann M. Deisenroth GNN AI4CE 42 49 0 21 Oct 2019
Hamiltonian Graph Networks with ODE Integrators Alvaro Sanchez-Gonzalez V. Bapst Kyle Cranmer Peter W. Battaglia AI4CE 75 177 0 27 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 293 641 0 19 Sep 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 56 82 0 24 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 51 876 0 04 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 81 17,950 0 28 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 122 1,382 0 01 May 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 55 980 0 14 Feb 2019
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 149 4,928 0 02 Nov 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 371 15,066 0 07 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 429 28,795 0 09 Sep 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 140 3,136 0 17 May 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 127 8,309 0 06 Nov 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 81 523 0 01 Oct 2013