Sparse Bayesian learning for basis selection DP Wipf, BD Rao
IEEE Transactions on Signal processing 52 (8), 2153-2164, 2004
1645 2004 An empirical Bayesian strategy for solving the simultaneous sparse approximation problem DP Wipf, BD Rao
IEEE Transactions on Signal Processing 55 (7), 3704-3716, 2007
972 2007 Iterative Reweighted D Wipf, S Nagarajan
IEEE Journal of Selected Topics in Signal Processing 4 (2), 317-329, 2010
592 2010 A new view of automatic relevance determination D Wipf, S Nagarajan
Advances in neural information processing systems 20, 2007
451 2007 Diagnosing and enhancing VAE models B Dai, D Wipf
arXiv preprint arXiv:1903.05789, 2019
447 2019 A unified Bayesian framework for MEG/EEG source imaging D Wipf, S Nagarajan
NeuroImage 44 (3), 947-966, 2009
411 2009 Lane change intent analysis using robust operators and sparse bayesian learning JC McCall, DP Wipf, MM Trivedi, BD Rao
IEEE Transactions on Intelligent Transportation Systems 8 (3), 431-440, 2007
379 2007 A generic deep architecture for single image reflection removal and image smoothing Q Fan, J Yang, G Hua, B Chen, D Wipf
Proceedings of the IEEE International Conference on Computer Vision, 3238-3247, 2017
350 2017 Latent variable Bayesian models for promoting sparsity DP Wipf, BD Rao, S Nagarajan
IEEE Transactions on Information Theory 57 (9), 6236-6255, 2011
334 2011 A practical transfer learning algorithm for face verification X Cao, D Wipf, F Wen, G Duan, J Sun
Proceedings of the IEEE international conference on computer vision, 3208-3215, 2013
254 2013 Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG DP Wipf, JP Owen, HT Attias, K Sekihara, SS Nagarajan
NeuroImage 49 (1), 641-655, 2010
249 2010 Variational EM algorithms for non-Gaussian latent variable models J Palmer, K Kreutz-Delgado, B Rao, D Wipf
Advances in neural information processing systems 18, 2005
240 2005 From canonical correlation analysis to self-supervised graph neural networks H Zhang, Q Wu, J Yan, D Wipf, PS Yu
Advances in Neural Information Processing Systems 34, 76-89, 2021
212 2021 Unsupervised extraction of video highlights via robust recurrent auto-encoders H Yang, B Wang, S Lin, D Wipf, M Guo, B Guo
Proceedings of the IEEE international conference on computer vision, 4633-4641, 2015
206 2015 Multi-image blind deblurring using a coupled adaptive sparse prior H Zhang, D Wipf, Y Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
200 2013 Robust photometric stereo using sparse regression S Ikehata, D Wipf, Y Matsushita, K Aizawa
2012 IEEE Conference on Computer Vision and Pattern Recognition, 318-325, 2012
192 2012 Compressing neural networks using the variational information bottleneck B Dai, C Zhu, B Guo, D Wipf
International Conference on Machine Learning, 1135-1144, 2018
189 2018 Maximal sparsity with deep networks? B Xin, Y Wang, W Gao, B Wang, D Wipf
Advances in Neural Information Processing Systems, 4340-4348, 2016
187 2016 Single image reflection removal exploiting misaligned training data and network enhancements K Wei, J Yang, Y Fu, D Wipf, H Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
181 2019 Handling distribution shifts on graphs: An invariance perspective Q Wu, H Zhang, J Yan, D Wipf
International Conference on Learning Representations, 2022
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