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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
1822014
Global optimality in tensor factorization, deep learning, and beyond
BD Haeffele, R Vidal
arXiv preprint arXiv:1506.07540, 2015
1582015
Global Optimality in Neural Network Training
BD Haeffele, R Vidal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1492017
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
1452014
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
702019
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
492017
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
352007
Multiscale mapping of frequency sweep rate in mouse auditory cortex
JB Issa, BD Haeffele, ED Young, DT Yue
Hearing research 344, 207-222, 2017
312017
A Critique of Self-Expressive Deep Subspace Clustering
BD Haeffele, C You, R Vidal
International Conference on Learning Represetations, 2021
272021
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
232017
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
202021
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
17*2019
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
162017
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
142019
Doubly Stochastic Subspace Clustering
D Lim, R Vidal, BD Haeffele
arXiv preprint arXiv:2011.14859, 2020
122020
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
122020
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
92020
Modifying the Hodgkin-Huxley model for high frequency ac stimulation
BD Haeffele, RJ Butera
2007 3rd International IEEE/EMBS Conference on Neural Engineering, 550-552, 2007
92007
Adaptive online k-subspaces with cooperative re-initialization
C Lane, B Haeffele, R Vidal
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
82019
Generative optical modeling of whole blood for detecting platelets in lens-free images
BD Haeffele, C Pick, Z Lin, E Mathieu, SC Ray, R Vidal
Biomedical Optics Express 11 (4), 1808-1818, 2020
72020
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