White-Box Transformers via Sparse Rate Reduction

Variational information pursuit for interpretable predictions

Unsupervised manifold linearizing and clustering

Learning globally smooth functions on manifolds

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

Understanding Doubly Stochastic Clustering

Optimization Landscape of Neural Networks

Lens free holographic imaging for urinary tract infection screening

Interpretable by design: Learning predictors by composing interpretable queries

Interpretable by Design: Learning Predictors by Composing Interpretable Queries

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension

Efficient Maximal Coding Rate Reduction by Variational Forms

Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval

Wave-Informed Matrix Factorization with Global Optimality Guarantees

Understanding the Dynamics of Gradient Flow in Overparameterized Linear models

A Critique of Self-Expressive Deep Subspace Clustering

On the Regularization Properties of Structured Dropout

Generative optical modeling of whole blood for detecting platelets in lens-free images

Doubly Stochastic Subspace Clustering

A novel variational form of the Schatten-$ p $ quasi-norm

Structured low-rank matrix factorization: Global optimality, algorithms, and applications

Joint Holographic Detection and Reconstruction

Global optimality in separable dictionary learning with applications to the analysis of diffusion mri

Classifying and Comparing Approaches to Subspace Clustering with Missing Data

An optical model of whole blood for detecting platelets in lens-free images

Adaptive online $k$-subspaces with cooperative re-initialization

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI

Multi-Cell Classification by Convolutional Dictionary Learning with Class Proportion Priors

Dropout as a Low-Rank Regularizer for Matrix Factorization

Removal of the Twin Image Artifact in Holographic Lens-Free Imaging by Sparse Dictionary Learning and Coding

Multiscale mapping of frequency sweep rate in mouse auditory cortex

Global Optimality in Neural Network Training

Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery

Blood Cell Detection and Counting in Holographic Lens-free Imaging by Convolutional Sparse Dictionary Learning and Coding

Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing

Multiscale optical Ca2+ imaging of tonal organization in mouse auditory cortex