Jasmine Collins
Jasmine Collins
Research Scientist at Databricks/MosaicML
Verified email at - Homepage
Cited by
Cited by
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
Capacity and trainability in recurrent neural networks
J Collins, J Sohl-Dickstein, D Sussillo
arXiv preprint arXiv:1611.09913, 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
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
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
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
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
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
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
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
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
A Gokaslan, AF Cooper, J Collins, L Seguin, A Jacobson, M Patel, ...
arXiv preprint arXiv:2310.16825, 2023
Accelerating Training of Deep Neural Networks with a Standardization Loss
J Collins, J Balle, J Shlens
arXiv preprint arXiv:1903.00925, 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
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
Automatically Inferring Task Context for Continual Learning
J Collins, K Xu, B Olshausen, B Cheung
Conference on Cognitive Computational Neuroscience, 2019
Bridging the Gap between Humans and Machines in 3D Object Perception
J Collins
University of California, Berkeley, 2023
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