Jasmine Collins

25 papers A* 4B 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning. CoRR Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins, Ivan Zhou, Cindy Wang, Ashutosh Baheti, Owen Oertell, Jacob Portes, Sam Havens, Erich Elsen, Michael Bendersky, Matei Zaharia, Xing Chen
2026	A*	`conf`	What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment. AAAI Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
2025	J	`jnl`	What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment. CoRR Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
2024	A*	`conf`	Common Canvas: Open Diffusion Models Trained on Creative-Commons Images. CVPR Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
2023	—	`—`	Bridging the Gap between Humans and Machines in 3D Object Perception Jasmine Collins
2023	J	`jnl`	CA CoRR Jasmine Collins, Anqi Liang, Jitendra Malik, Hao Zhang, Frédéric Devernay
2023	J	`jnl`	CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. CoRR Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
2023	A*	`conf`	GANmouflage: 3D Object Nondetection with Texture Fields. CVPR Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens
2023	B	`conf`	Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 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
2022	A*	`conf`	ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CVPR 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
2022	J	`jnl`	GANmouflage: 3D Object Nondetection with Texture Fields. CoRR Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens
2022	—	`conf`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 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
2022	B	`conf`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CogSci Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik
2022	J	`jnl`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR 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
2022	B	`conf`	Three-Dimensional Object Completion in Humans and Computational Models. CogSci Eunice Yiu, Jasmine Collins, Alison Gopnik
2022	J	`jnl`	Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR 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
2021	J	`jnl`	ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CoRR Jasmine Collins, Shubham Goel, Achleshwar Luthra, Leon Xu, Kenan Deng, Xi Zhang, Tomas F. Yago Vicente, Himanshu Arora, Thomas Dideriksen, Matthieu Guillaumin, Jitendra Malik
2020	B	`conf`	Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. CogSci Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik
2020	J	`jnl`	Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny
2019	J	`jnl`	Accelerating Training of Deep Neural Networks with a Standardization Loss. CoRR Jasmine Collins, Johannes Ballé, Jonathon Shlens
2017	—	`conf`	Capacity and Trainability in Recurrent Neural Networks. ICLR (Poster) Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
2016	J	`jnl`	A D3R prospective evaluation of machine learning for protein-ligand scoring. J. Comput. Aided Mol. Des. Jocelyn Sunseri, Matthew Ragoza, Jasmine Collins, David Ryan Koes
2016	J	`jnl`	Alphavirus protease inhibitors from natural sources: A homology modeling and molecular docking investigation. Comput. Biol. Chem. Kendall G. Byler, Jasmine Collins, Ifedayo Victor Ogungbe, William N. Setzer
2016	J	`jnl`	Capacity and Trainability in Recurrent Neural Networks. CoRR Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
2016	J	`jnl`	Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. CoRR Akosua Busia, Jasmine Collins, Navdeep Jaitly