| Expanding the diversity of mycobacteriophages: insights into genome architecture and evolution WH Pope, D Jacobs-Sera, DA Russell, CL Peebles, Z Al-Atrache, ... PloS one 6 (1), e16329, 2011 | 155 | 2011 |
| Learned video compression O Rippel, S Nair, C Lew, S Branson, AG Anderson, L Bourdev Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 138 | 2019 |
| Excess of mutational jackpot events in expanding populations revealed by spatial Luria–Delbrück experiments D Fusco, M Gralka, J Kayser, A Anderson, O Hallatschek Nature communications 7 (1), 1-9, 2016 | 86 | 2016 |
| The high-dimensional geometry of binary neural networks AG Anderson, CP Berg arXiv preprint arXiv:1705.07199, 2017 | 64 | 2017 |
| Deepmovie: Using optical flow and deep neural networks to stylize movies AG Anderson, CP Berg, DP Mossing, BA Olshausen arXiv preprint arXiv:1605.08153, 2016 | 27 | 2016 |
| Periodic orbits for classical particles having complex energy AG Anderson, CM Bender, UI Morone Physics Letters A 375 (39), 3399-3404, 2011 | 22 | 2011 |
| Elf-vc: Efficient learned flexible-rate video coding O Rippel, AG Anderson, K Tatwawadi, S Nair, C Lytle, L Bourdev Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| High-acuity vision from retinal image motion AG Anderson, K Ratnam, A Roorda, BA Olshausen Journal of vision 20 (7), 34-34, 2020 | 17 | 2020 |
| The hyperdimensional stack machine T Yerxa, A Anderson, E Weiss Cognitive Computing, 1-2, 2018 | 16 | 2018 |
| A neural model of high-acuity vision in the presence of fixational eye movements AG Anderson, BA Olshausen, K Ratnam, A Roorda 2016 50th Asilomar Conference on Signals, Systems and Computers, 588-592, 2016 | 13 | 2016 |
| Complex trajectories in a classical periodic potential AG Anderson, CM Bender Journal of Physics A: Mathematical and Theoretical 45 (45), 455101, 2012 | 11 | 2012 |
| Machine-learned in-loop predictor for video compression O Rippel, AG Anderson, K Tatwawadi, S Nair, C Lytle, H Guihot, ... US Patent App. 17/411,385, 2022 | | 2022 |
| Parameter map for machine-learned video compression AG Anderson, O Rippel, K Tatwawadi, S Nair, C Lytle, H Guihot, ... US Patent App. 17/466,797, 2022 | | 2022 |
| An Interactive Annotation Tool for Perceptual Video Compression E Pergament, P Tandon, K Tatwawadi, O Rippel, L Bourdev, B Olshausen, ... arXiv preprint arXiv:2205.03969, 2022 | | 2022 |
| Machine-learning based video compression O Rippel, S Nair, C Lew, S Branson, A Anderson, L Bourdev US Patent 10,860,929, 2020 | | 2020 |
| Machine-learning based video compression O Rippel, S Nair, C Lew, S Branson, A Anderson, L Bourdev US Patent 10,685,282, 2020 | | 2020 |
| Adaptive quantization C Lew, S Branson, O Rippel, S Nair, AG Anderson, L Bourdev US Patent 10,594,338, 2020 | | 2020 |
| Noise, Quantization, and Priors in Neural Networks AG Anderson eScholarship, University of California, 2018 | | 2018 |
| Motion Selectivity of Neurons in Self-Driving Networks B Yellapragada, A Anderson, S Yu, K Zipser Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | | 2018 |
| Phase Determination of Multilayer Mirrors using the Kramers-Kronig Relations AG Anderson, C Bourassin-Bouchet, S de Rossi, F Delmotte | | 2011 |
Bruno OlshausenProfessor, UC BerkeleyVerified email at berkeley.edu
