Ab-initio study of interacting fermions at finite temperature with
neural canonical transformation

Ab-initio study of interacting fermions at finite temperature with neural canonical transformation

18 May 2021

Lei Wang

Papers citing "Ab-initio study of interacting fermions at finite temperature with neural canonical transformation"

18 / 18 papers shown

Title
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching Hao Xie Saburo Howard Guglielmo Mazzola 67 2 0 17 Jan 2025
Exchangeable Neural ODE for Set Modeling Yang Li Haidong Yi Christopher M. Bender Siyuan Shan Junier B. Oliva BDL 41 30 0 06 Aug 2020
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states J. Stokes Javier Robledo Moreno E. Pnevmatikakis Giuseppe Carleo 46 47 0 31 Jul 2020
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 45 175 0 13 Mar 2020
Targeted free energy estimation via learned mappings Peter Wirnsberger A. J. Ballard George Papamakarios Stuart Abercrombie S. Racanière Alexander Pritzel Danilo Jimenez Rezende Charles Blundell 51 89 0 12 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 177 1,687 0 05 Dec 2019
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 202 453 0 16 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 69 459 0 05 Sep 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 94 415 0 17 May 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 46 218 0 26 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 117 626 0 02 Apr 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks Dian Wu Lei Wang Pan Zhang 61 184 0 27 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 75 63 0 26 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 334 5,081 0 19 Jun 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 57 125 0 08 Feb 2018
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 93 271 0 06 Sep 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 148 2,796 0 20 Feb 2015
Determinantal point processes for machine learning Alex Kulesza B. Taskar 235 1,134 0 25 Jul 2012