Corey Lynch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2014–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | PaLM-E: An Embodied Multimodal Language Model. | Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence |
| 2023 | ICRA | Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. | Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman |
| 2023 | ICRA | Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. | Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi |
| 2022 | IROS | Learning High Speed Precision Table Tennis on a Physical Robot. | Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch |
| 2021 | CoRL | Implicit Behavioral Cloning. | Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson |
| 2021 | CoRL | Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. | Brian Ichter, Pierre Sermanet, Corey Lynch |
| 2021 | CoRL | BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. | Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn |
| 2020 | ICRA | Online Learning of Object Representations by Appearance Space Feature Alignment. | Sren Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet |
| 2019 | CoRL | Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. | Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman |
| 2019 | CoRL | Learning Latent Plans from Play. | Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet |
| 2018 | IROS | Learning Actionable Representations from Visual Observations. | Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet |
| 2018 | ICRA | Time-Contrastive Networks: Self-Supervised Learning from Video. | Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine |
| 2017 | CVPR | Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. | Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine |
| 2016 | KDD | Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. | Corey Lynch, Kamelia Aryafar, Josh Attenberg |
| 2014 | ICPR | Exploring User Behaviour on Etsy through Dominant Colors. | Kamelia Aryafar, Corey Lynch, Josh Attenberg |