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Ben Haeffele
Ben Haeffele
Johns Hopkins Unviersity
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Multiscale optical Ca 2+ imaging of tonal organization in mouse auditory cortex
JB Issa, BD Haeffele, A Agarwal, DE Bergles, ED Young, DT Yue
Neuron 83 (4), 944-959, 2014
2012014
Global Optimality in Neural Network Training
BD Haeffele, R Vidal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1692017
Global optimality in tensor factorization, deep learning, and beyond
BD Haeffele, R Vidal
arXiv preprint arXiv:1506.07540, 2015
1692015
Structured low-rank matrix factorization: Optimality, algorithm, and applications to image processing
B Haeffele, E Young, R Vidal
International Conference on Machine Learning, 2007-2015, 2014
1592014
Structured low-rank matrix factorization: Global optimality, algorithms, and applications
BD Haeffele, R Vidal
IEEE transactions on pattern analysis and machine intelligence 42 (6), 1468-1482, 2019
862019
White-box transformers via sparse rate reduction
Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma
Advances in Neural Information Processing Systems 36, 9422-9457, 2023
602023
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
S Tarmoun, G Franca, BD Haeffele, R Vidal
International Conference on Machine Learning, 10153-10161, 2021
592021
Dropout as a Low-Rank Regularizer for Matrix Factorization
J Cavazza, P Morerio, B Haeffele, C Lane, V Murino, R Vidal
arXiv preprint arXiv:1710.05092, 2017
572017
A Critique of Self-Expressive Deep Subspace Clustering
BD Haeffele, C You, R Vidal
International Conference on Learning Represetations, 2021
382021
Multiscale mapping of frequency sweep rate in mouse auditory cortex
JB Issa, BD Haeffele, ED Young, DT Yue
Hearing research 344, 207-222, 2017
372017
Conduction block induced by high frequency AC stimulation in unmyelinated nerves
L Joseph, BD Haeffele, RJ Butera
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
372007
Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding
F Yellin, BD Haeffele, R Vidal
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017
242017
Classifying and comparing approaches to subspace clustering with missing data
C Lane, R Boger, C You, M Tsakiris, B Haeffele, R Vidal
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
202019
Global optimality in separable dictionary learning with applications to the analysis of diffusion mri
E Schwab, BD Haeffele, R Vidal, N Charon
SIAM Journal on Imaging Sciences 12 (4), 1967-2008, 2019
19*2019
Doubly Stochastic Subspace Clustering
D Lim, R Vidal, BD Haeffele
arXiv preprint arXiv:2011.14859, 2020
182020
Interpretable by design: Learning predictors by composing interpretable queries
A Chattopadhyay, S Slocum, BD Haeffele, R Vidal, D Geman
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7430-7443, 2022
172022
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery
BD Haeffele, R Stahl, G Vanmeerbeeck, R Vidal
International Conference on Medical Image Computing and Computer-Assisted …, 2017
172017
On the regularization properties of structured dropout
A Pal, C Lane, R Vidal, BD Haeffele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Quantifying Task Complexity Through Generalized Information Measures
A Chattopadhyay, BD Haeffele, D Geman, R Vidal
132020
A novel variational form of the Schatten- quasi-norm
P Giampouras, R Vidal, A Rontogiannis, B Haeffele
Advances in Neural Information Processing Systems 33, 2020
122020
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