Neural Network Renormalization Group

8 February 2018

Lei Wang

Papers citing "Neural Network Renormalization Group"

30 / 30 papers shown

Title
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 64 1 0 11 Mar 2025
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching Hao Xie Saburo Howard Guglielmo Mazzola 41 1 0 17 Jan 2025
Generating configurations of increasing lattice size with machine learning and the inverse renormalization group Dimitrios Bachtis AI4CE 28 1 0 25 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 36 1 0 29 Apr 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 42 41 0 09 Feb 2024
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 50 2 0 22 May 2023
Compressing neural network by tensor network with exponentially fewer variational parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 22 6 0 10 May 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 40 1 0 07 Apr 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 44 27 0 26 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 32 33 0 14 Nov 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 38 8 0 14 Oct 2022
Deep Variational Free Energy Approach to Dense Hydrogen H.-j. Xie Ziqun Li Han Wang Linfeng Zhang Lei Wang 47 9 0 13 Sep 2022
Neural Information Squeezer for Causal Emergence Jiang Zhang Kaiwei Liu CML 30 14 0 25 Jan 2022
Stochastic normalizing flows as non-equilibrium transformations M. Caselle E. Cellini A. Nada M. Panero 36 34 0 21 Jan 2022
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 41 30 0 03 Aug 2021
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks Dian Wu R. Rossi Giuseppe Carleo 29 29 0 12 May 2021
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration Dimitrios Bachtis Gert Aarts B. Lucini AI4CE 23 19 0 30 Sep 2020
Sampling using $SU(N)$ gauge equivariant flows D. Boyda G. Kanwar S. Racanière Danilo Jimenez Rezende M. S. Albergo Kyle Cranmer D. Hackett P. Shanahan 31 127 0 12 Aug 2020
Learning entropy production via neural networks Dong-Kyum Kim Youngkyoung Bae Sangyun Lee Hawoong Jeong 11 38 0 09 Mar 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 57 176 0 16 Feb 2020
Learning the Ising Model with Generative Neural Networks Francesco DÁngelo Lucas Böttcher AI4CE 16 28 0 15 Jan 2020
A Probability Density Theory for Spin-Glass Systems Gavin Hartnett Masoud Mohseni 16 4 0 03 Jan 2020
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 19 216 0 26 Apr 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks Dian Wu Lei Wang Pan Zhang 22 181 0 27 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 14 62 0 26 Sep 2018
Opening the black box of deep learning Dian Lei Xiaoxiao Chen Jianfei Zhao AI4CE PINN 13 26 0 22 May 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012