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Jasmine Collins
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2020 – today
- 2024
- [c9]Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov:
Common Canvas: Open Diffusion Models Trained on Creative-Commons Images. CVPR 2024: 8250-8260 - 2023
- [b1]Jasmine Collins:
Bridging the Gap between Humans and Machines in 3D Object Perception. University of California, Berkeley, USA, 2023 - [c8]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:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 2023 - [c7]Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens:
GANmouflage: 3D Object Nondetection with Texture Fields. CVPR 2023: 4702-4712 - [i10]Jasmine Collins, Anqi Liang, Jitendra Malik, Hao Zhang, Frédéric Devernay:
CA2T-Net: Category-Agnostic 3D Articulation Transfer from Single Image. CoRR abs/2301.02232 (2023) - [i9]Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov:
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. CoRR abs/2310.16825 (2023) - 2022
- [c6]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:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 2022: 390-406 - [c5]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CogSci 2022 - [c4]Eunice Yiu, Jasmine Collins, Alison Gopnik:
Three-Dimensional Object Completion in Humans and Computational Models. CogSci 2022 - [c3]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:
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CVPR 2022: 21094-21104 - [i8]Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens:
GANmouflage: 3D Object Nondetection with Texture Fields. CoRR abs/2201.07202 (2022) - [i7]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:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR abs/2202.10430 (2022) - [i6]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:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR abs/2206.08353 (2022) - 2021
- [i5]Jasmine Collins, Shubham Goel, Achleshwar Luthra, Leon Xu, Kenan Deng, Xi Zhang, Tomas F. Yago Vicente, Himanshu Arora, Thomas Dideriksen, Matthieu Guillaumin, Jitendra Malik:
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CoRR abs/2110.06199 (2021) - 2020
- [c2]Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik:
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. CogSci 2020 - [i4]Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR abs/2005.02880 (2020)
2010 – 2019
- 2019
- [i3]Jasmine Collins, Johannes Ballé, Jonathon Shlens:
Accelerating Training of Deep Neural Networks with a Standardization Loss. CoRR abs/1903.00925 (2019) - 2017
- [c1]Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo:
Capacity and Trainability in Recurrent Neural Networks. ICLR (Poster) 2017 - 2016
- [j2]Kendall G. Byler, Jasmine Collins, Ifedayo Victor Ogungbe, William N. Setzer
Alphavirus protease inhibitors from natural sources: A homology modeling and molecular docking investigation. Comput. Biol. Chem. 64: 163-184 (2016) - [j1]Jocelyn Sunseri
A D3R prospective evaluation of machine learning for protein-ligand scoring. J. Comput. Aided Mol. Des. 30(9): 761-771 (2016) - [i2]Akosua Busia, Jasmine Collins, Navdeep Jaitly:
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. CoRR abs/1611.01503 (2016) - [i1]Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo:
Capacity and Trainability in Recurrent Neural Networks. CoRR abs/1611.09913 (2016)
Coauthor Index
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last updated on 2024-10-04 21:01 CEST by the dblp team
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