A topological insight into restricted Boltzmann machines

A topological insight into restricted Boltzmann machines

20 April 2016

Decebal Constantin Mocanu

Phuong H. Nguyen

Papers citing "A topological insight into restricted Boltzmann machines"

19 / 19 papers shown

Title
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models Chuan Sun Han Yu Lizhen Cui Xiaoxiao Li 202 0 0 03 May 2025
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 86 0 0 30 Apr 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu Q. Xiao Shiwei Liu Lu Yin Mykola Pechenizkiy Decebal Constantin Mocanu M. V. Keulen Elena Mocanu MedIm 67 4 0 20 Feb 2025
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin You Wu Zhenyu Zhang Cheng-Yu Hsieh Yaqing Wang ... Mykola Pechenizkiy Yi Liang Michael Bendersky Zhangyang Wang Shiwei Liu 39 79 0 08 Oct 2023
Structural Restricted Boltzmann Machine for image denoising and classification Arkaitz Bidaurrazaga A. Pérez Roberto Santana AI4CE 20 0 0 16 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 37 3 0 31 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 36 1 0 28 May 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks Mahdi Nikdan Tommaso Pegolotti Eugenia Iofinova Eldar Kurtic Dan Alistarh 26 11 0 09 Feb 2023
Dynamic Sparse Network for Time Series Classification: Learning What to "see'' Qiao Xiao Boqian Wu Yu Zhang Shiwei Liu Mykola Pechenizkiy Elena Mocanu Decebal Constantin Mocanu AI4TS 43 28 0 19 Dec 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 41 8 0 05 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 17 0 0 12 Feb 2022
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu OOD 31 49 0 28 Jun 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 45 17 0 02 Mar 2021
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders Zahra Atashgahi Ghada Sokar T. Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 19 37 0 01 Dec 2020
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 32 101 0 12 Dec 2017
Equivalence of restricted Boltzmann machines and tensor network states Martín Arjovsky Song Cheng Haidong Xie Léon Bottou Tao Xiang 32 225 0 17 Jan 2017
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data Decebal Constantin Mocanu M. T. Vega Eric Eaton Peter Stone A. Liotta OffRL 21 26 0 18 Oct 2016