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 | 326 | 2018 |
Capacity and trainability in recurrent neural networks J Collins, J Sohl-Dickstein, D Sussillo arXiv preprint arXiv:1611.09913, 2016 | 179 | 2016 |
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 | 20 | 2016 |
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 (9), 761-771, 2016 | 19 | 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 | 12 | 2020 |
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding J Collins, S Goel, A Luthra, L Xu, K Deng, X Zhang, TFY Vicente, H Arora, ... arXiv preprint arXiv:2110.06199, 2021 | 8 | 2021 |
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 | 2 | 2019 |
Learning Causal Overhypotheses through Exploration in Children and Computational Models E Kosoy, A Liu, J Collins, DM Chan, JB Hamrick, NR Ke, SH Huang, ... arXiv preprint arXiv:2202.10430, 2022 | | 2022 |
GANmouflage: 3D Object Nondetection with Texture Fields R Guo, J Collins, O de Lima, A Owens arXiv preprint arXiv:2201.07202, 2022 | | 2022 |
Automatically Inferring Task Context for Continual Learning J Collins, K Xu, B Olshausen, B Cheung Conference on Cognitive Computational Neuroscience, 2019 | | 2019 |