Simple, Efficient, and Neural Algorithms for Sparse Coding

2 March 2015

Papers citing "Simple, Efficient, and Neural Algorithms for Sparse Coding"

50 / 105 papers shown

Title
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Yuhang Liu Dong Gong Erdun Gao Zhen Zhang Biwei Huang Mingming Gong Anton van den Hengel Javen Qinfeng Shi J. Shi 127 0 0 12 Mar 2025
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models Konstantin Donhauser Kristina Ulicna Gemma Elyse Moran Aditya Ravuri Kian Kenyon-Dean Cian Eastwood Jason Hartford 76 0 0 20 Dec 2024
The Star Geometry of Critic-Based Regularizer Learning Oscar Leong Eliza O'Reilly Yong Sheng Soh AAML 40 0 0 29 Aug 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen Benjamin Wright Can Rager Rico Angell Jannik Brinkmann Logan Smith C. M. Verdun David Bau Samuel Marks 38 26 0 31 Jul 2024
Efficient Matrix Factorization Via Householder Reflections Anirudh Dash Aditya Siripuram 11 0 0 13 May 2024
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning Nikhil Ghosh Spencer Frei Wooseok Ha Ting Yu MLT 28 3 0 06 Aug 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang Tianyi Zhou Jing Jiang Guodong Long Yuhui Shi CLL OffRL 28 9 0 29 May 2023
Personalized Dictionary Learning for Heterogeneous Datasets Geyu Liang Naichen Shi Raed Al Kontar S. Fattahi 23 6 0 24 May 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu Lin Zhang Xuanzhou Liu Jiaqi Sun Yue Zhao Haiqing Yang Bei Yu GNN 13 8 0 23 May 2023
Convergence of alternating minimisation algorithms for dictionary learning Simon Ruetz Karin Schnass 16 0 0 04 Apr 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding Muthuraman Chidambaram Chenwei Wu Yu Cheng Rong Ge 10 0 0 24 Feb 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 16 0 0 06 Feb 2023
Optimal Regularization for a Data Source Oscar Leong Eliza O'Reilly Yong Sheng Soh V. Chandrasekaran 9 4 0 27 Dec 2022
Learning threshold neurons via the "edge of stability" Kwangjun Ahn Sébastien Bubeck Sinho Chewi Y. Lee Felipe Suarez Yi Zhang MLT 31 36 0 14 Dec 2022
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 9 0 0 16 Nov 2022
Simple Alternating Minimization Provably Solves Complete Dictionary Learning Geyu Liang G. Zhang S. Fattahi Richard Y. Zhang 13 5 0 23 Oct 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Satyen Kale Jason D. Lee Chris De Sa Ayush Sekhari Karthik Sridharan 19 4 0 13 Oct 2022
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness Dávid Szeghy Mahmoud Aslan Á. Fóthi Balázs Mészáros Z. '. Milacski András Lőrincz AAML 16 0 0 05 May 2022
Convergence of gradient descent for deep neural networks S. Chatterjee ODL 11 20 0 30 Mar 2022
Contrasting the landscape of contrastive and non-contrastive learning Ashwini Pokle Jinjin Tian Yuchen Li Andrej Risteski SSL 22 28 0 29 Mar 2022
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling Chuizheng Meng Sirisha Rambhatla Yan Liu FedML 16 119 0 09 Jun 2021
Stable and Interpretable Unrolled Dictionary Learning Bahareh Tolooshams Demba E. Ba 11 13 0 31 May 2021
Learning from Censored and Dependent Data: The case of Linear Dynamics Orestis Plevrakis 17 10 0 11 Apr 2021
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective T. Westenbroek Max Simchowitz Michael I. Jordan S. Shankar Sastry 17 9 0 27 Mar 2021
Hessian Eigenspectra of More Realistic Nonlinear Models Zhenyu Liao Michael W. Mahoney 10 30 0 02 Mar 2021
On the convergence of group-sparse autoencoders Emmanouil Theodosis Bahareh Tolooshams Pranay Tankala Abiy Tasissa Demba E. Ba 17 2 0 13 Feb 2021
Non-Convex Compressed Sensing with Training Data G. Welper 8 1 0 20 Jan 2021
A Theoretical Perspective on Hyperdimensional Computing Anthony Thomas S. Dasgupta Tajana Simunic 13 82 0 14 Oct 2020
Online nonnegative CP-dictionary learning for Markovian data Hanbaek Lyu Christopher Strohmeier Deanna Needell 11 10 0 16 Sep 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning Sirisha Rambhatla Xingguo Li Jarvis D. Haupt 6 13 0 30 Jun 2020
Recovery and Generalization in Over-Realized Dictionary Learning Jeremias Sulam Chong You Zhihui Zhu FedML 8 8 0 11 Jun 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 16 146 0 20 May 2020
$Depth Descent Synchronization in $\mathrm{SO}(D)$$ Depth Descent Synchronization in $\mathrm{SO}(D)$ Tyler Maunu Gilad Lerman MDE 29 2 0 13 Feb 2020
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance Xiaoyun Li Zhenxun Zhuang Francesco Orabona 27 18 0 12 Feb 2020
A frequency-domain analysis of inexact gradient methods Oran Gannot 14 25 0 31 Dec 2019
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 20 9 0 05 Dec 2019
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis THANH VAN NGUYEN Raymond K. W. Wong C. Hegde 11 12 0 27 Nov 2019
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 22 26 0 25 Nov 2019
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks D. Obeid Hugo Ramambason C. Pehlevan FedML 8 20 0 11 Oct 2019
Natural representation of composite data with replicated autoencoders Matteo Negri D. Bergamini Carlo Baldassi R. Zecchina Christoph Feinauer SyDa 11 1 0 29 Sep 2019
Heavy-ball Algorithms Always Escape Saddle Points Tao Sun Dongsheng Li Zhe Quan Hao Jiang Shengguo Li Y. Dou ODL 18 21 0 23 Jul 2019
Dictionary Learning with BLOTLESS Update Qi Yu Wei Dai Zoran Cvetkovic Jubo Zhu 8 6 0 24 Jun 2019
Recursive Sketches for Modular Deep Learning Badih Ghazi Rina Panigrahy Joshua R. Wang 11 20 0 29 May 2019
Winner-Take-All Computation in Spiking Neural Networks Nancy A. Lynch Cameron Musco M. Parter 17 23 0 25 Apr 2019
NOODL: Provable Online Dictionary Learning and Sparse Coding Sirisha Rambhatla Xingguo Li Jarvis D. Haupt 17 17 0 28 Feb 2019
$Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning$ Unique Sharp Local Minimum in $\ell_1$ -minimization Complete Dictionary Learning Yu Wang Siqi Wu Bin Yu 13 5 0 22 Feb 2019
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching C. Pehlevan 13 18 0 04 Feb 2019
On exponential convergence of SGD in non-convex over-parametrized learning Xinhai Liu M. Belkin Yu-Shen Liu 14 100 0 06 Nov 2018
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 8 51 0 25 Oct 2018
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto Aurélien Lucchi 11 31 0 05 Oct 2018