Jasmine Collins

According to our database, Jasmine Collins authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Common Canvas: Open Diffusion Models Trained on Creative-Commons Images.

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bridging the Gap between Humans and Machines in 3D Object Perception

Jasmine Collins

PhD thesis, 2023

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images.

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

CoRR, 2023

CA²T-Net: Category-Agnostic 3D Articulation Transfer from Single Image.

Jasmine Collins, Anqi Liang, Jitendra Malik, Hao Zhang, Frédéric Devernay

CoRR, 2023

GANmouflage: 3D Object Nondetection with Texture Fields.

Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Understanding How Machines Can Learn Causal Overhypotheses.

Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Emily Rose Reagan, John F. Canny, Alison Gopnik

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Towards Understanding How Machines Can Learn Causal Overhypotheses.

Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John F. Canny, Nan Rosemary Ke, Alison Gopnik

CoRR, 2022

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding.

Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Three-Dimensional Object Completion in Humans and Computational Models.

Eunice Yiu, Jasmine Collins, Alison Gopnik

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learning Causal Overhypotheses through Exploration in Children and Computational Models.

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learning Causal Overhypotheses through Exploration in Children and Computational Models.

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding.

Jasmine Collins, Shubham Goel, Achleshwar Luthra, Leon Xu, Kenan Deng, Xi Zhang, Tomas F. Yago Vicente, Himanshu Arora, Thomas Dideriksen, Matthieu Guillaumin, Jitendra Malik

CoRR, 2021

2020

Exploring Exploration: Comparing Children with RL Agents in Unified Environments.

Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny

CoRR, 2020

Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments.

Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Accelerating Training of Deep Neural Networks with a Standardization Loss.

Jasmine Collins, Johannes Ballé, Jonathon Shlens

CoRR, 2019

2017

Capacity and Trainability in Recurrent Neural Networks.

Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A D3R prospective evaluation of machine learning for protein-ligand scoring.

Jocelyn Sunseri, Matthew Ragoza, Jasmine Collins, David Ryan Koes

J. Comput. Aided Mol. Des., 2016

Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning.

Akosua Busia, Jasmine Collins, Navdeep Jaitly

CoRR, 2016

Alphavirus protease inhibitors from natural sources: A homology modeling and molecular docking investigation.

Kendall G. Byler, Jasmine Collins, Ifedayo Victor Ogungbe, William N. Setzer

Comput. Biol. Chem., 2016