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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 51–100 of 823 papers

TitleStatusHype
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game ModelsCode1
Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning—0
A Model for Combinatorial Dictionary Learning and Inference—0
Subgraph Clustering and Atom Learning for Improved Image Classification—0
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
A Resolution Independent Neural Operator—0
Compressive Electron Backscatter Diffraction Imaging—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
Variational Learning ISTA—0
Unmixing Noise from Hawkes Process to Model Learned Physiological Events—0
A Concept-Based Explainability Framework for Large Multimodal ModelsCode1
Unsupervised learning of Data-driven Facial Expression Coding System (DFECS) using keypoint tracking—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis—0
Identifying Functionally Important Features with End-to-End Sparse Dictionary LearningCode2
Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control—0
Efficient Matrix Factorization Via Householder Reflections—0
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression—0
Improving Dictionary Learning with Gated Sparse AutoencodersCode3
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly DetectionCode0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Image Deraining via Self-supervised Reinforcement Learning—0
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial PoliciesCode0
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement LearningCode2
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
Seismic Traveltime Tomography with Label-free LearningCode0
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems—0
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit—0
Interpretable Online Network Dictionary Learning for Inferring Long-Range Chromatin InteractionsCode0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Explainable Trajectory Representation through Dictionary Learning—0
Clustering Inductive Biases with Unrolled Networks—0
SenseAI: Real-Time Inpainting for Electron Microscopy—0
Orthogonally weighted _2,1 regularization for rank-aware joint sparse recovery: algorithm and analysisCode0
Level Set KSVD—0
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images—0
Riemannian stochastic optimization methods avoid strict saddle points—0
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image ClassificationCode1
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming—0
MRI brain tumor segmentation using informative feature vectors and kernel dictionary learning—0
Joint Sparse Representations and Coupled Dictionary Learning in Multi-Source Heterogeneous Image Pseudo-color Fusion—0
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches—0
Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization—0
Uncovering hidden geometry in Transformers via disentangling position and contextCode0
Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources—0
Wave-informed dictionary learning for high-resolution imaging in complex media—0
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