| 2020 | ICML | The Usual Suspects? Reassessing Blame for VAE Posterior Collapse. | Bin Dai, Ziyu Wang, David P. Wipf |
| 2019 | CVPR | Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. | Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang |
| 2019 | ICCV | Face Video Deblurring Using 3D Facial Priors. | Wenqi Ren, Jiaolong Yang, Senyou Deng, David P. Wipf, Xiaochun Cao, Xin Tong |
| 2019 | ICLR | Diagnosing and Enhancing VAE Models. | Bin Dai, David P. Wipf |
| 2018 | CVPR | Revisiting Deep Intrinsic Image Decompositions. | Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David P. Wipf |
| 2018 | ICML | Compressing Neural Networks using the Variational Information Bottleneck. | Bin Dai, Chen Zhu, Baining Guo, David P. Wipf |
| 2017 | ICCV | A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing. | Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David P. Wipf |
| 2017 | UAI | Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. | Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf |
| 2017 | UAI | Data-Dependent Sparsity for Subspace Clustering. | Bo Xin, Yizhou Wang, Wen Gao, David P. Wipf |
| 2016 | ICML | Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation. | David P. Wipf |
| 2016 | KDD | Improving Survey Aggregation with Sparsely Represented Signals. | Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda |
| 2016 | UAI | Subspace Clustering with a Twist. | David P. Wipf, Yue Dong, Bo Xin |
| 2015 | AISTATS | Understanding and Evaluating Sparse Linear Discriminant Analysis. | Yi Wu, David P. Wipf, Jeong-Min Yun |
| 2015 | DCC | Augmented Bayesian Compressive Sensing. | David P. Wipf, Jeong-Min Yun, Qing Ling |
| 2015 | ICCV | Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders. | Huan Yang, Baoyuan Wang, Stephen Lin, David P. Wipf, Minyi Guo, Baining Guo |
| 2015 | ICML | Multi-Task Learning for Subspace Segmentation. | Yu Wang, David P. Wipf, Qing Ling, Wei Chen, Ian J. Wassell |
| 2015 | ICML | Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA. | Bo Xin, David P. Wipf |
| 2015 | UAI | Clustered Sparse Bayesian Learning. | Yu Wang, David P. Wipf, Jeong-Min Yun, Wei Chen, Ian J. Wassell |
| 2014 | ICASSP | Exploiting the convex-concave penalty for tracking: A novel dynamic reweighted sparse Bayesian learning algorithm. | Yu Wang, David P. Wipf, Wei Chen, Ian J. Wassell |
| 2013 | CVPR | Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior. | Haichao Zhang, David P. Wipf, Yanning Zhang |
| 2013 | ICCV | A Practical Transfer Learning Algorithm for Face Verification. | Xudong Cao, David P. Wipf, Fang Wen, Genquan Duan, Jian Sun |
| 2013 | ICML | Fixed-Point Model For Structured Labeling. | Quannan Li, Jingdong Wang, David P. Wipf, Zhuowen Tu |
| 2012 | CVPR | Robust photometric stereo using sparse regression. | Satoshi Ikehata, David P. Wipf, Yasuyuki Matsushita, Kiyoharu Aizawa |
| 2012 | CVPR | Learning sparse covariance patterns for natural scenes. | Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg |
| 2012 | UAI | Non-Convex Rank Minimization via an Empirical Bayesian Approach. | David P. Wipf |
| 2010 | MICCAI | Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. | Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan |
| 2007 | ICASSP | Performance Evaluation of Latent Variable Models with Sparse Priors. | David P. Wipf, Jason A. Palmer, Bhaskar D. Rao, Kenneth Kreutz-Delgado |
| 2007 | ICML | Beamforming using the relevance vector machine. | David P. Wipf, Srikantan S. Nagarajan |
| 2005 | CVPR | Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning. | Joel C. McCall, Mohan M. Trivedi, David P. Wipf, Bhaskar D. Rao |
| 2004 | ICASSP | Probabilistic analysis for basis selection via ℓ | David P. Wipf, Bhaskar D. Rao |
| 2003 | ICASSP | Bayesian learning for sparse signal reconstruction. | David P. Wipf, Bhaskar D. Rao |