Benjamin D. Haeffele

CoRR, 2023

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

[BibT_eX]

[DOI]

CoRR, 2023

Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions.

[BibT_eX]

[DOI]

Kwan Ho Ryan Chan

Aditya Chattopadhyay

CoRR, 2023

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

[BibT_eX]

[DOI]

Yi Ma

CoRR, 2023

White-Box Transformers via Sparse Rate Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Globally Smooth Functions on Manifolds.

[BibT_eX]

[DOI]

Juan Cerviño

Luiz F. O. Chamon

Alejandro Ribeiro

Proceedings of the International Conference on Machine Learning, 2023

Variational Information Pursuit for Interpretable Predictions.

[BibT_eX]

[DOI]

Aditya Chattopadhyay

Kwan Ho Ryan Chan

Donald Geman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Manifold Linearizing and Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Understanding Doubly Stochastic Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Paris Giampouras

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction.

[BibT_eX]

[DOI]

Joel B. Harley

Harsha Vardhan Tetali

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Efficient Maximal Coding Rate Reduction by Variational Forms.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Wave-Informed Matrix Factorization withGlobal Optimality Guarantees.

[BibT_eX]

[DOI]

Harsha Vardhan Tetali

Joel B. Harley

CoRR, 2021

Understanding the Dynamics of Gradient Flow in Overparameterized Linear models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A Critique of Self-Expressive Deep Subspace Clustering.

[BibT_eX]

[DOI]

Chong You

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Doubly Stochastic Subspace Clustering.

[BibT_eX]

[DOI]

Derek Lim

CoRR, 2020

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

[BibT_eX]

[DOI]

Paris Giampouras

Athanasios A. Rontogiannis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Regularization Properties of Structured Dropout.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2019

Joint Holographic Detection and Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Adaptive Online k-Subspaces with Cooperative Re-Initialization.

[BibT_eX]

[DOI]

Connor Lane

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Classifying and Comparing Approaches to Subspace Clustering with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Cell Detection and Classification Using a Generative Convolutional Model.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dropout as a Low-Rank Regularizer for Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

An Analysis of Dropout for Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding.

[BibT_eX]

[DOI]

Florence Yellin

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Global Optimality in Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Global Optimality in Tensor Factorization, Deep Learning, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2015

2014

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

[BibT_eX]

[DOI]

Eric Young