Publications

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D Haeffele, Yi Ma
2023 arXiv preprint arXiv:2306.01129

White-Box Transformers via Sparse Rate Reduction

Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D Haeffele, Donald Geman, René Vidal
2023 International Conference on Learning Representations

Variational information pursuit for interpretable predictions

Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D Haeffele
2023 IEEE International Conference on Computer Vision

Unsupervised manifold linearizing and clustering

Juan Cervino, Luiz FO Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro
2023 International Conference on Machine Learning

Learning globally smooth functions on manifolds

Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, Yi Ma
2023 arXiv preprint arXiv:2306.05272

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

Tianjiao Ding, Derek Lim, René Vidal, Benjamin D Haeffele
2022 International Conference on Machine Learning

Understanding Doubly Stochastic Clustering

René Vidal, Zhihui Zhu, Benjamin D Haeffele
2022 Mathematical Aspects of Deep Learning

Optimization Landscape of Neural Networks

Gregory N McKay, Anisha Oommen, Carolina Pacheco, Mason T Chen, Stuart C Ray, René Vidal, Benjamin D Haeffele, Nicholas J Durr
2022 IEEE Transactions on Biomedical Engineering

Lens free holographic imaging for urinary tract infection screening

Aditya Chattopadhyay, Stewart Slocum, Benjamin D Haeffele, Rene Vidal, Donald Geman
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence

Interpretable by design: Learning predictors by composing interpretable queries

Aditya Chattopadhyay, Stewart Slocum, Benjamin D Haeffele, Rene Vidal, Donald Geman
2022 arXiv preprint arXiv:2207.00938

Interpretable by Design: Learning Predictors by Composing Interpretable Queries

Paris V Giampouras, Benjamin D Haeffele, René Vidal
2022 International Conference on Learning Representations

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

Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D Haeffele
2022 IEEE Conference on Computer Vision and Pattern Recognition

Efficient Maximal Coding Rate Reduction by Variational Forms

Carolina Pacheco, Gregory N McKay, Anisha Oommen, Nicholas J Durr, René Vidal, Benjamin D Haeffele
2022 Optics Express

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

Harsha Vardhan Tetali, Joel B Harley, Benjamin D Haeffele
2021 arXiv preprint arXiv:2107.09144

Wave-Informed Matrix Factorization with Global Optimality Guarantees

Salma Tarmoun, Guilherme Franca, Benjamin D Haeffele, Rene Vidal
2021 International Conference on Machine Learning

Understanding the Dynamics of Gradient Flow in Overparameterized Linear models

Benjamin D Haeffele, Chong You, René Vidal
2021 International Conference on Learning Representations

A Critique of Self-Expressive Deep Subspace Clustering

Ambar Pal, Connor Lane, René Vidal, Benjamin D Haeffele
2020 IEEE Conference on Computer Vision and Pattern Recognition

On the Regularization Properties of Structured Dropout

Benjamin D Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C Ray, René Vidal
2020 Biomedical Optics Express

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

Derek Lim, René Vidal, Benjamin D Haeffele
2020 arXiv preprint arXiv:2011.14859

Doubly Stochastic Subspace Clustering

Paris Giampouras, René Vidal, Athanasios Rontogiannis, Benjamin Haeffele
2020 Neural Information Processing Systems (NeurIPS)

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

Benjamin D Haeffele, Rene Vidal
2019 IEEE Transactions on Pattern Analysis and Machine Intelligence

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

Florence Yellin, Benjamı́n Béjar, Benjamin D Haeffele, Evelien Mathieu, Christian Pick, Stuart C Ray, René Vidal
2019 MICCAI International Workshop on Machine Learning in Medical Imaging

Joint Holographic Detection and Reconstruction

Evan Schwab, Benjamin D Haeffele, René Vidal, Nicolas Charon
2019 SIAM Journal on Imaging Sciences

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

Connor Lane, Ron Boger, Chong You, Manolis Tsakiris, Benjamin Haeffele, Rene Vidal
2019 IEEE International Conference on Computer Vision Workshops

Classifying and Comparing Approaches to Subspace Clustering with Missing Data

Benjamin D Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C Ray, René Vidal
2019 MICCAI International Workshop on Simulation and Synthesis in Medical Imaging

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

Connor Lane, Benjamin D. Haeffele, René Vidal
2019 IEEE International Conference on Computer Vision Workshops

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

Evan Schwab, Benjamin D Haeffele, Nicolas Charon, Rene Vidal
2018 arXiv preprint arXiv:1807.05595

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI

Florence Yellin, Benjamin D Haeffele, Rene Vidal
2018 IEEE Conference on Computer Vision and Pattern Recognition

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

Jacopo Cavazza, Benjamin D Haeffele, Connor Lane, Pietro Morerio, Vittorio Murino, Rene Vidal
2018 International Conference on Artificial Intelligence and Statistics (AISTATS)

Dropout as a Low-Rank Regularizer for Matrix Factorization

Benjamin D Haeffele, Sophie Roth, Lin Zhou, Rene Vidal
2017 IEEE International Symposium on Biomedical Imaging

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

John B Issa, Benjamin D Haeffele, Eric D Young, David T Yue
2017 Hearing research

Multiscale mapping of frequency sweep rate in mouse auditory cortex

Benjamin D Haeffele, Rene Vidal
2017 IEEE Conference on Computer Vision and Pattern Recognition

Global Optimality in Neural Network Training

Benjamin D Haeffele, Richard Stahl, Geert Vanmeerbeeck, Rene Vidal
2017 Medical Image Computing and Computer Assisted Intervention

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

Florence Yellin, Benjamin D Haeffele, Rene Vidal
2017 IEEE International Symposium on Biomedical Imaging

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

Benjamin D Haeffele, René Vidal
2015 arXiv preprint arXiv:1506.07540

Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Benjamin D Haeffele, Eric Young, Rene Vidal
2014 International Conference on Machine Learning

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

John B Issa, Benjamin D Haeffele, Amit Agarwal, Dwight E Bergles, Eric D Young, David T Yue
2014 Neuron

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