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2020 – today
- 2022
[i12]Paris V. Giampouras, Benjamin D. Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. CoRR abs/2201.09079 (2022)- [i11]Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR abs/2204.00077 (2022) - 2021
- [c15]Benjamin David Haeffele, Chong You, René Vidal:
A Critique of Self-Expressive Deep Subspace Clustering. ICLR 2021 - [c14]Salma Tarmoun, Guilherme França, Benjamin D. Haeffele, René Vidal:
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. ICML 2021: 10153-10161 - [i10]Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele:
Wave-Informed Matrix Factorization withGlobal Optimality Guarantees. CoRR abs/2107.09144 (2021) - 2020
- [j2]Benjamin D. Haeffele
, René Vidal:
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1468-1482 (2020) - [c13]Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. CVPR 2020: 7668-7676 - [c12]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS 2020 - [i9]Benjamin D. Haeffele, Chong You, René Vidal:
A Critique of Self-Expressive Deep Subspace Clustering. CoRR abs/2010.03697 (2020) - [i8]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-p quasi-norm. CoRR abs/2010.13927 (2020) - [i7]Derek Lim, René Vidal, Benjamin D. Haeffele:
Doubly Stochastic Subspace Clustering. CoRR abs/2011.14859 (2020)
2010 – 2019
- 2019
- [j1]Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon:
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. 12(4): 1967-2008 (2019) - [c11]Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal:
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops 2019: 669-677 - [c10]Connor Lane, Benjamin D. Haeffele, René Vidal:
Adaptive Online k-Subspaces with Cooperative Re-Initialization. ICCV Workshops 2019: 678-688 - [c9]Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal:
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images. SASHIMI@MICCAI 2019: 140-150 - [c8]Florence Yellin, Benjamín Béjar Haro, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray, René Vidal:
Joint Holographic Detection and Reconstruction. MLMI@MICCAI 2019: 664-672 - [i6]Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. CoRR abs/1910.14186 (2019) - 2018
- [c7]Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal:
Dropout as a Low-Rank Regularizer for Matrix Factorization. AISTATS 2018: 435-444 - [c6]Florence Yellin, Benjamin D. Haeffele, Sophie Roth, René Vidal:
Multi-Cell Detection and Classification Using a Generative Convolutional Model. CVPR 2018: 8953-8961 - [i5]Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal:
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. CoRR abs/1807.05595 (2018) - 2017
- [c5]Benjamin D. Haeffele, René Vidal:
Global Optimality in Neural Network Training. CVPR 2017: 4390-4398 - [c4]Florence Yellin, Benjamin D. Haeffele, René Vidal:
Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. ISBI 2017: 650-653 - [c3]Benjamin D. Haeffele, Sophie Roth, Lin Zhou, René Vidal:
Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding. ISBI 2017: 741-744 - [c2]Benjamin D. Haeffele, Richard Stahl, Geert Vanmeerbeeck, René Vidal:
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery. MICCAI (2) 2017: 109-117 - [i4]Benjamin D. Haeffele, René Vidal:
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. CoRR abs/1708.07850 (2017) - [i3]Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal:
An Analysis of Dropout for Matrix Factorization. CoRR abs/1710.03487 (2017) - [i2]Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal:
Dropout as a Low-Rank Regularizer for Matrix Factorization. CoRR abs/1710.05092 (2017) - 2015
- [i1]Benjamin D. Haeffele, René Vidal:
Global Optimality in Tensor Factorization, Deep Learning, and Beyond. CoRR abs/1506.07540 (2015) - 2014
- [c1]Benjamin D. Haeffele, Eric Young, René Vidal:
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing. ICML 2014: 2007-2015
Coauthor Index
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