David Wipf
- Signal Processing top 0.2%
- Blind Source Separation Techniques 23
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques 35
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- Advanced Image Processing Techniques 9
- Image and Signal Denoising Methods 7
- Generative Adversarial Networks and Image Synthesis 6
- Advanced Vision and Imaging 6
- Media Technology top 1%
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- Gaussian Processes and Bayesian Inference 8
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- Neural dynamics and brain function 7
- Co-authors
- Bhaskar D. RaoSrikantan S. NagarajanHaichao ZhangJiaolong YangJ.C. McCallBaoquan ChenQingnan FanMohan M. Trivedi
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)IEEE Transactions on Signal Processing (5 papers)NeuroImage (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
David Wipf
82 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Signal Processing 1.8k
- Computational Mechanics 1.9k
- Computer Vision and Pattern Recognition 1.6k
- Computer Graphics and Computer-Aided Design 173
- Media Technology 382
Countries citing papers authored by David Wipf
This map shows the geographic impact of David Wipf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Wipf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wipf more than expected).
Fields of papers citing papers by David Wipf
This network shows the impact of papers produced by David Wipf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Wipf. The network helps show where David Wipf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Wipf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2021 | 24 | |
| 5 | Further Analysis of Outlier Detection with Deep Generative Models | 2020 | 1 |
| 6 | 2018 | 15 | |
| 7 | Compressing Neural Networks using the Variational Information Bottleneck. | 2018 | 28 |
| 8 | Veiled Attributes of the Variational Autoencoder. | 2017 | 1 |
| 9 | Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. | 2017 | 2 |
| 10 | Data-Dependent Sparsity for Subspace Clustering. | 2017 | 4 |
| 11 | Revisiting Deep Image Smoothing and Intrinsic Image Decomposition. | 2017 | 6 |
| 12 | Maximal Sparsity with Deep Networks | 2016 | 39 |
| 13 | A Pseudo-Bayesian Algorithm for Robust PCA | 2016 | 6 |
| 14 | Understanding and Evaluating Sparse Linear Discriminant Analysis | 2015 | 14 |
| 15 | Probabilistic M/EEG source imaging from sparse spatio-temporal event structure | 2012 | 1 |
| 16 | Sparse Estimation with Structured Dictionaries | 2011 | 29 |
| 17 | Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG | 2008 | 11 |
| 18 | Performance Analysis of Latent Variable Models with Sparse Priors | 2007 | 7 |
| 19 | ℓâ‚€-norm Minimization for Basis Selection | 2004 | 19 |
| 20 | Perspectives on Sparse Bayesian Learning | 2003 | 74 |
About David Wipf
David Wipf is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Statistics and Probability, having authored 84 papers that have together received 5.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (35 papers), Blind Source Separation Techniques (23 papers), Advanced Image Processing Techniques (9 papers), Gaussian Processes and Bayesian Inference (8 papers), Image and Signal Denoising Methods (7 papers), Neural dynamics and brain function (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computational Mechanics (1.9k citations), Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (173 citations) and Media Technology (382 citations). David Wipf has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bhaskar D. Rao, Srikantan S. Nagarajan, Haichao Zhang, Jiaolong Yang, J.C. McCall, Baoquan Chen, Qingnan Fan, Mohan M. Trivedi, Jason Palmer and Yanning Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing, NeuroImage, ACM Transactions on Graphics and IEEE Journal of Selected Topics in Signal Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.