The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ben Poole sits on this spectrum.
This scientist: 57 publications — 1st percentile
1% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ben Poole sits on this spectrum.
This scientist: 33 D-Index — 13th percentile
13% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Ben Poole is a researcher affiliated with Google in the United States, with a focus on computer science and related fields. Their work encompasses a range of subfields including computer vision and pattern recognition, artificial intelligence, computer graphics and computer-aided design, statistical and nonlinear physics, and signal processing.
The main themes of Ben Poole's research include generative adversarial networks and image synthesis, computer graphics and visualization techniques, model reduction and neural networks, advanced vision and imaging, machine learning and data classification, 3D shape modeling and analysis, and music and audio processing.
Ben Poole has published extensively, with 37 works in prominent computer vision and pattern recognition venues and numerous contributions to arXiv. Their recent papers include:
Throughout their research career, Ben Poole has collaborated frequently with other experts in the field. Their most frequent coauthors include Jonathan T. Barron, Ben Mildenhall, Aleksander Holynski, Jascha Sohl-Dickstein, and Diederik P. Kingma, with multiple joint publications reflecting ongoing research partnerships.
Ben Poole's work has been disseminated predominantly through arXiv, with over 30 publications on this platform, alongside contributions to high-profile venues such as the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neuron.
Their contributions span various advanced topics in computer science and engineering, addressing foundational and applied challenges in generative modeling, 3D reconstruction, machine learning methodologies, and visualization. This multidisciplinary approach aligns with the evolving landscape of artificial intelligence and computer graphics research.
Eric Jang;Shixiang Gu;Ben Poole
Yang Song;Jascha Sohl-Dickstein;Diederik P Kingma;Abhishek Kumar
Vincent Dumoulin;Ishmael Belghazi;Ben Poole;Alex Lamb
Unknown
Friedemann Zenke;Ben Poole;Surya Ganguli
Vincent Dumoulin;Ishmael Belghazi;Ben Poole;Olivier Mastropietro
Unknown
Luke Metz;Ben Poole;David Pfau;Jascha Sohl-Dickstein
Yonglong Tian;Chen Sun;Ben Poole;Dilip Krishnan
Unknown
Maithra Raghu;Ben Poole;Jon M. Kleinberg;Surya Ganguli
Ben Poole;Subhaneil Lahiri;Maithreyi Raghu;Jascha Sohl-Dickstein
Ben Poole;Sherjil Ozair;Aaron van den Oord;Alexander A. Alemi
Jonathan T. Barron;Ben Poole
Alexander A. Alemi;Ben Poole;Ian Fischer;Joshua V. Dillon
Diederik P. Kingma;Tim Salimans;Ben Poole;Jonathan Ho
Raphael Gontijo Lopes;Dong Yin;Ben Poole;Justin Gilmer
Jascha Sohl-Dickstein;Ben Poole;Surya Ganguli
Francesco Locatello;Ben Poole;Gunnar Rätsch;Bernhard Schölkopf
Alex H. Williams;Ben Poole;Niru Maheswaranathan;Ashesh K. Dhawale
Eric Jang;Shixiang Gu;Ben Poole
Ali Razavi;Aäron van den Oord;Ben Poole;Oriol Vinyals
Ben Poole;Jascha Sohl-Dickstein;Surya Ganguli
Francesco Locatello;Ben Poole;Gunnar Raetsch;Bernhard Schölkopf
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