| Inferring single-trial neural population dynamics using sequential auto-encoders C Pandarinath, DJ O’Shea, J Collins, R Jozefowicz, SD Stavisky, JC Kao, ... Nature methods, 1, 2018 | 702 | 2018 |
| Capacity and trainability in recurrent neural networks J Collins, J Sohl-Dickstein, D Sussillo arXiv preprint arXiv:1611.09913, 2016 | 241 | 2016 |
| Abo: Dataset and benchmarks for real-world 3d object understanding J Collins, S Goel, K Deng, A Luthra, L Xu, E Gundogdu, X Zhang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 195 | 2022 |
| Protein secondary structure prediction using deep multi-scale convolutional neural networks and next-step conditioning A Busia, J Collins, N Jaitly arXiv preprint arXiv:1611.01503, 2016 | 28 | 2016 |
| Exploring exploration: Comparing children with rl agents in unified environments E Kosoy, J Collins, DM Chan, S Huang, D Pathak, P Agrawal, J Canny, ... arXiv preprint arXiv:2005.02880, 2020 | 24 | 2020 |
| CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images A Gokaslan, AF Cooper, J Collins, L Seguin, A Jacobson, M Patel, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 23 | 2024 |
| A D3R prospective evaluation of machine learning for protein-ligand scoring J Sunseri, M Ragoza, J Collins, DR Koes Journal of computer-aided molecular design 30, 761-771, 2016 | 21 | 2016 |
| Ganmouflage: 3d object nondetection with texture fields R Guo, J Collins, O de Lima, A Owens Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Towards understanding how machines can learn causal overhypotheses E Kosoy, DM Chan, A Liu, J Collins, B Kaufmann, SH Huang, JB Hamrick, ... arXiv preprint arXiv:2206.08353, 2022 | 10 | 2022 |
| Learning causal overhypotheses through exploration in children and computational models E Kosoy, A Liu, JL Collins, D Chan, JB Hamrick, NR Ke, S Huang, ... Conference on Causal Learning and Reasoning, 390-406, 2022 | 8 | 2022 |
| Inferring single-trial neural population dynamics using sequential auto-encoders. bioRxiv C Pandarinath, DJ O’Shea, J Collins, R Jozefowicz, SD Stavisky, JC Kao, ... June, 2017 | 7 | 2017 |
| Accelerating Training of Deep Neural Networks with a Standardization Loss J Collins, J Balle, J Shlens arXiv preprint arXiv:1903.00925, 2019 | 4 | 2019 |
| CAT-Net: Category-Agnostic 3D Articulation Transfer from Single Image J Collins, A Liang, J Malik, H Zhang, F Devernay arXiv preprint arXiv:2301.02232, 2023 | 2 | 2023 |
| Three-Dimensional Object Completion in Humans and Computational Models E Yiu, J Collins, A Gopnik Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 1 | 2022 |
| Automatically Inferring Task Context for Continual Learning J Collins, K Xu, B Olshausen, B Cheung Conference on Cognitive Computational Neuroscience, 2019 | 1 | 2019 |
| Bridging the Gap between Humans and Machines in 3D Object Perception J Collins University of California, Berkeley, 2023 | | 2023 |
David SussilloMeta Reality Labs and Adjunct Professor @ StanfordVerified email at stanford.edu