An exact mapping between the Variational Renormalization Group and Deep Learning

14 October 2014

Papers citing "An exact mapping between the Variational Renormalization Group and Deep Learning"

50 / 102 papers shown

Title
A Two-Phase Perspective on Deep Learning Dynamics Robert de Mello Koch Animik Ghosh 109 0 0 17 Apr 2025
Data augmentation using diffusion models to enhance inverse Ising inference Yechan Lim Sangwon Lee Junghyo Jo DiffM 80 0 0 13 Mar 2025
Quantum Geometry insights in Deep Learning Noémie C. Combe AI4CE 36 0 0 01 Mar 2025
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained Alessandro Favero Antonio Sclocchi Francesco Cagnetta Pascal Frossard Matthieu Wyart DiffM CoGe 99 6 0 17 Feb 2025
MS $^3$ D: A RG Flow-Based Regularization for GAN Training with Limited Data Jian Wang Xin Lan Yuxin Tian Jiancheng Lv AI4CE 55 1 0 20 Aug 2024
Wilsonian Renormalization of Neural Network Gaussian Processes Jessica N. Howard Ro Jefferson Anindita Maiti Zohar Ringel BDL 145 3 0 09 May 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System Mohamed Roshdi Julian Petzold Mostafa Wahby Hussein Ebrahim Mladen Berekovic Heiko Hamann 60 0 0 26 Apr 2024
Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking L. Albanese Andrea Alessandrelli A. Annibale Adriano Barra 45 0 0 15 Dec 2023
Renormalizing Diffusion Models Jordan S. Cotler Semon Rezchikov DiffM AI4CE 75 13 0 23 Aug 2023
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis Abu-Al Hassan 63 0 0 06 Aug 2023
Learning ECG signal features without backpropagation Péter Pósfay M. T. Kurbucz Péter Kovács Antal Jakovác SSL AI4TS 51 1 0 04 Jul 2023
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 83 17 0 17 May 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 95 7 0 22 Dec 2022
Dense Hebbian neural networks: a replica symmetric picture of supervised learning E. Agliari L. Albanese Francesco Alemanno Andrea Alessandrelli Adriano Barra F. Giannotti Daniele Lotito D. Pedreschi 43 16 0 25 Nov 2022
Wavelet Conditional Renormalization Group Tanguy Marchand M. Ozawa Giulio Biroli S. Mallat 40 17 0 11 Jul 2022
Engineering flexible machine learning systems by traversing functionally-invariant paths G. Raghavan Bahey Tharwat S. N. Hari Dhruvil Satani Matt Thomson OOD AI4CE 42 8 0 30 Apr 2022
Categorical Representation Learning and RG flow operators for algorithmic classifiers A. Sheshmani Yi-Zhuang You Wenbo Fu A. Azizi AI4CE 26 1 0 15 Mar 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 66 0 0 03 Jan 2022
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist S. Alexander Sarah Bawabe Batia Friedman-Shaw M. Toomey PINN AI4CE 36 2 0 27 Nov 2021
Feature extraction of machine learning and phase transition point of Ising model S. Funai 45 3 0 22 Nov 2021
Universality of Winning Tickets: A Renormalization Group Perspective William T. Redman Tianlong Chen Zhangyang Wang Akshunna S. Dogra UQCV 92 7 0 07 Oct 2021
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 84 30 0 03 Aug 2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group J. Erdmenger Kevin T. Grosvenor R. Jefferson 82 17 0 14 Jul 2021
Entropy Regularized Reinforcement Learning Using Large Deviation Theory A. Arriojas Jacob Adamczyk Stas Tiomkin R. Kulkarni AI4CE 26 4 0 07 Jun 2021
The Autodidactic Universe S. Alexander W. Cunningham J. Lanier L. Smolin S. Stanojevic M. Toomey D. Wecker AI4CE 122 20 0 29 Mar 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 49 26 0 11 Mar 2021
Why Unsupervised Deep Networks Generalize Anita de Mello Koch E. Koch R. Koch OOD 44 8 0 07 Dec 2020
A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability Xinjie Lan Kenneth Barner FAtt 38 2 0 27 Oct 2020
Understanding understanding: a renormalization group inspired model of (artificial) intelligence Antal Jakovác D. Berényi Péter Pósfay AI4CE 19 7 0 26 Oct 2020
Model-Free Control of Dynamical Systems with Deep Reservoir Computing D. Canaday Andrew Pomerance D. Gauthier 47 33 0 05 Oct 2020
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration Dimitrios Bachtis Gert Aarts B. Lucini AI4CE 51 19 0 30 Sep 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 89 16 0 30 Sep 2020
A Neural Network Perturbation Theory Based on the Born Series Bastian Kaspschak U. Meissner 13 6 0 07 Sep 2020
Maximum Multiscale Entropy and Neural Network Regularization Amir-Reza Asadi Emmanuel Abbe 34 1 0 25 Jun 2020
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models R. Veiga R. Vicente AI4CE 30 5 0 17 Jun 2020
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons Xinjie Lan Xin Guo Kenneth Barner 47 3 0 16 Jun 2020
Machine Learning for Condensed Matter Physics Edwin Bedolla L. C. Padierna R. Castañeda-Priego AI4CE 69 67 0 28 May 2020
Probing Criticality in Quantum Spin Chains with Neural Networks A. Berezutskii M. Beketov D. Yudin Z. Zimborás J Biamonte AI4CE 39 9 0 05 May 2020
Short sighted deep learning R. Koch Anita de Mello Koch Nicholas Kastanos Ling Cheng 66 8 0 07 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 315 0 08 Jan 2020
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows Gavin Hartnett Masoud Mohseni AI4CE 50 10 0 02 Jan 2020
'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space Moshir Harsh J. Tubiana Simona Cocco R. Monasson 49 15 0 30 Dec 2019
Self-regularizing restricted Boltzmann machines Orestis Loukas 35 2 0 09 Dec 2019
Interpolating between boolean and extremely high noisy patterns through Minimal Dense Associative Memories Francesco Alemanno M. Centonze A. Fachechi 13 6 0 02 Dec 2019
Neural networks with redundant representation: detecting the undetectable E. Agliari Francesco Alemanno Adriano Barra M. Centonze A. Fachechi 38 31 0 28 Nov 2019
Explicitly Bayesian Regularizations in Deep Learning Xinjie Lan Kenneth Barner UQCV BDL AI4CE 103 1 0 22 Oct 2019
Non-Gaussian processes and neural networks at finite widths Sho Yaida 100 88 0 30 Sep 2019
A Probabilistic Representation of Deep Learning Xinjie Lan Kenneth Barner UQCV BDL AI4CE 110 1 0 26 Aug 2019
The many faces of deep learning Raul Vicente FedML AI4CE 45 0 0 25 Aug 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 119 904 0 18 Jun 2019