Ben Poole
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- Computer Graphics and Visualization Techniques 4
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- Generative Adversarial Networks and Image Synthesis 6
- Artificial Intelligence top 2%
- Neural Networks and Applications 4
- Anomaly Detection Techniques and Applications 3
- Explainable Artificial Intelligence (XAI) 2
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 3
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 2
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- Model Reduction and Neural Networks 2
- Co-authors
- Surya GanguliFriedemann ZenkeJascha Sohl‐DicksteinBen MildenhallJonathan T. BarronPieter AbbeelAjay N. JainDavid Pfau
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ben Poole
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Graphics and Computer-Aided Design 201
- Computer Vision and Pattern Recognition 706
- Artificial Intelligence 664
- Cognitive Neuroscience 201
- Computational Mechanics 193
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 42 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 87 | |
| 6 | Zero-Shot Text-Guided Object Generation with Dream Fieldsbreakdown → | 2022 | 236 |
| 7 | On Density Estimation with Diffusion Models | 2021 | 1 |
| 8 | Score-Based Generative Modeling through Stochastic Differential Equations | 2021 | 6 |
| 9 | What Makes for Good Views for Contrastive Learning | 2020 | 49 |
| 10 | Weakly Supervised Disentanglement with Guarantees | 2020 | 7 |
| 11 | Weakly-Supervised Disentanglement Without Compromises | 2020 | 4 |
| 12 | Discrete Flows: Invertible Generative Models of Discrete Data | 2019 | 11 |
| 13 | 2019 | 158 | |
| 14 | 2019 | 47 | |
| 15 | An information-theoretic analysis of deep latent-variable models | 2018 | 10 |
| 16 | Improved multitask learning through synaptic intelligence. | 2017 | 12 |
| 17 | Continual Learning Through Synaptic Intelligence.breakdown → | 2017 | 421 |
| 18 | Exponential expressivity in deep neural networks through transient chaos | 2016 | 36 |
| 19 | An adaptive low dimensional quasi-Newton sum of functions optimizer. | 2013 | 3 |
| 20 | 2011 | 20 |
About Ben Poole
Ben Poole is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Artificial Intelligence, General Social Sciences and Cognitive Neuroscience, 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), Computer Graphics and Visualization Techniques (4 papers), Neural Networks and Applications (4 papers), Neural dynamics and brain function (3 papers), Anomaly Detection Techniques and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (201 citations), Computer Vision and Pattern Recognition (706 citations), Artificial Intelligence (664 citations), Cognitive Neuroscience (201 citations) and Computational Mechanics (193 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, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ajay N. Jain, David Pfau, Luke Metz and Eric Jang. Their work appears in journals such as Cell, Neuron, Journal of Cognitive Neuroscience, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.