| 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 | 193 | 2014 |
| Global Optimality in Neural Network Training BD Haeffele, R Vidal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 163 | 2017 |
| Global optimality in tensor factorization, deep learning, and beyond BD Haeffele, R Vidal arXiv preprint arXiv:1506.07540, 2015 | 163 | 2015 |
| 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 | 154 | 2014 |
| 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 | 79 | 2019 |
| 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 | 53 | 2017 |
| 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 | 44 | 2021 |
| 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 | 37 | 2007 |
| Multiscale mapping of frequency sweep rate in mouse auditory cortex JB Issa, BD Haeffele, ED Young, DT Yue Hearing research 344, 207-222, 2017 | 36 | 2017 |
| 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 | 34 | 2023 |
| A Critique of Self-Expressive Deep Subspace Clustering BD Haeffele, C You, R Vidal International Conference on Learning Represetations, 2021 | 34 | 2021 |
| 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 | 23 | 2017 |
| 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 |
| 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 | 19 | 2019 |
| Doubly Stochastic Subspace Clustering D Lim, R Vidal, BD Haeffele arXiv preprint arXiv:2011.14859, 2020 | 18 | 2020 |
| 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 | 17 | 2017 |
| 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 | 15 | 2020 |
| 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 | 14 | 2022 |
| Quantifying Task Complexity Through Generalized Information Measures A Chattopadhyay, BD Haeffele, D Geman, R Vidal | 11 | 2020 |
| Variational Information Pursuit for Interpretable Predictions A Chattopadhyay, KHR Chan, BD Haeffele, D Geman, R Vidal International Conference on Learning Representations, 2023 | 10 | 2023 |
Rene VidalRachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCE在 seas.upenn.edu 的电子邮件经过验证
