Sampling using $SU(N)$ gauge equivariant flows

Sampling using $SU(N)$ gauge equivariant flows

12 August 2020

Danilo Jimenez Rezende

Papers citing "Sampling using $SU(N)$ gauge equivariant flows"

17 / 67 papers shown

Title
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 18 0 0 08 Nov 2021
Equivariant Finite Normalizing Flows A. Bose Marcus A. Brubaker I. Kobyzev DRL 32 8 0 16 Oct 2021
Implicit Riemannian Concave Potential Maps Danilo Jimenez Rezende S. Racanière AI4CE 22 7 0 04 Oct 2021
Smooth Normalizing Flows Jonas Köhler Andreas Krämer Frank Noé 24 53 0 01 Oct 2021
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 40 14 0 14 Sep 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 25 25 0 19 Jul 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 168 0 19 May 2021
Deep Learning Hamiltonian Monte Carlo Sam Foreman Xiao-Yong Jin James C. Osborn 22 16 0 07 May 2021
Generalization capabilities of translationally equivariant neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 30 20 0 26 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 30 10 0 14 Mar 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 39 37 0 16 Feb 2021
Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models Di Luo Zhuo Chen Kaiwen Hu Zhizhen Zhao V. M. Hur B. Clark AI4CE 19 28 0 18 Jan 2021
Training Invertible Linear Layers through Rank-One Perturbations Andreas Krämer Jonas Köhler Frank Noé 16 0 0 14 Oct 2020
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window D. Boyda M. N. Chernodub N. Gerasimeniuk V. Goy S. Liubimov A. Molochkov AI4CE 18 3 0 23 Sep 2020