Equivariant Hamiltonian Flows

30 September 2019

Danilo Jimenez Rezende

Papers citing "Equivariant Hamiltonian Flows"

21 / 21 papers shown

Title
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 41 0 0 07 May 2025
Transferable Boltzmann Generators Leon Klein Frank Noé 56 13 0 20 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 53 3 0 18 Jun 2024
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 46 10 0 03 Feb 2023
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 85 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 40 2 0 17 Oct 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 39 44 0 17 Mar 2022
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. Ganea Xinyuan Huang Charlotte Bunne Yatao Bian Regina Barzilay Tommi Jaakkola Andreas Krause 36 152 0 15 Nov 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 50 8 0 10 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev Andrew Jaegle Peter Wirnsberger Daniel Hennes I. Higgins AI4CE 40 28 0 09 Nov 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 25 22 0 18 Jun 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 39 170 0 19 May 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning Roberto Bondesan Max Welling 44 7 0 08 Mar 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 35 981 0 19 Feb 2021
Physics-aware, probabilistic model order reduction with guaranteed stability Sebastian Kaltenbach P. Koutsourelakis DiffM AI4CE 16 15 0 14 Jan 2021
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 43 25 0 23 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 30 28 0 02 Jun 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems Pengzhan Jin Zhen Zhang Aiqing Zhu Yifa Tang George Karniadakis 21 21 0 11 Jan 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 67 1,635 0 05 Dec 2019