Ben Poole
Impact in
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- Computer Graphics and Visualization Techniques
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- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Human Pose and Action Recognition
Papers in
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- Neural Networks and Applications 4
- Anomaly Detection Techniques and Applications 3
- Stochastic Gradient Optimization Techniques 2
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- Generative Adversarial Networks and Image Synthesis 6
- Co-authors
- Surya Ganguli (6 shared papers)Friedemann Zenke (2 shared papers)Jascha Sohl‐Dickstein (5 shared papers)Jonathan T. Barron (5 shared papers)Ben Mildenhall (3 shared papers)Ajay N. Jain (1 shared paper)Pieter Abbeel (1 shared paper)David Pfau (1 shared paper)
- Journals
- Cell (1 paper)Journal of Cognitive Neuroscience (1 paper)Neuron (1 paper)PubMed (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ben Poole
23 papers receiving 1.5k citations
Ben Poole's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Graphics and Computer-Aided Design 207
- Computer Vision and Pattern Recognition 719
- Artificial Intelligence 664
- Cognitive Neuroscience 201
- Computational Mechanics 200
Countries citing papers authored by Ben Poole
This map shows the geographic impact of Ben Poole'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 Ben Poole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Poole more than expected).
Fields of papers citing papers by Ben Poole
This network shows the impact of papers produced by Ben Poole. 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 Ben Poole. The network helps show where Ben Poole may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Poole, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Continual Learning Through Synaptic Intelligence. Hit paper breakdown → | 2017 | 425 |
| 2 | Zero-Shot Text-Guided Object Generation with Dream Fields Hit paper breakdown → | 2022 | 244 |
| 3 | 2016 | 175 | |
| 4 | 2019 | 166 | |
| 5 | 2023 | 92 | |
| 6 | ReconFusion: 3D Reconstruction with Diffusion Priors Hit paper breakdown → | 2024 | 53 |
| 7 | 2019 | 51 | |
| 8 | What Makes for Good Views for Contrastive Learning | 2020 | 49 |
| 9 | Categorical Reparametrization with Gumble-Softmax | 2017 | 48 |
| 10 | 2019 | 46 | |
| 11 | 2013 | 40 | |
| 12 | Exponential expressivity in deep neural networks through transient chaos | 2016 | 36 |
| 13 | 2011 | 20 | |
| 14 | Improved multitask learning through synaptic intelligence. | 2017 | 12 |
| 15 | Discrete Flows: Invertible Generative Models of Discrete Data | 2019 | 11 |
| 16 | An information-theoretic analysis of deep latent-variable models | 2018 | 10 |
| 17 | 2024 | 8 | |
| 18 | Weakly Supervised Disentanglement with Guarantees | 2020 | 7 |
| 19 | Score-Based Generative Modeling through Stochastic Differential Equations | 2021 | 6 |
| 20 | 2025 | 5 |
About Ben Poole
Ben Poole is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Neural Networks and Applications (4 papers), Computer Graphics and Visualization Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers), Sparse and Compressive Sensing Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (207 citations), Computer Vision and Pattern Recognition (719 citations), Artificial Intelligence (664 citations), Cognitive Neuroscience (201 citations) and Computational Mechanics (200 citations). Ben Poole has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Surya Ganguli, Friedemann Zenke, Jascha Sohl‐Dickstein, Jonathan T. Barron, Ben Mildenhall, Ajay N. Jain, Pieter Abbeel, David Pfau, Luke Metz and Shixiang Gu. Their work appears in journals such as Cell, Journal of Cognitive Neuroscience, Neuron, PubMed and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.