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
194 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 CA 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 @ StanfordBestätigte E-Mail-Adresse bei stanford.edu