Théophile Gervet

According to our database, Théophile Gervet authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Mixtral of Experts.

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2024

2023

Navigating to objects in the real world.

Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot

Sci. Robotics, June, 2023

GOAT: GO to Any Thing.

Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot

CoRR, 2023

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.

Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi

CoRR, 2023

Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation.

Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki

CoRR, 2023

Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation.

Zhou Xian, Théophile Gervet, Zhenjia Xu, Yi-Ling Qiao, Tsun-Hsuan Wang

CoRR, 2023

Navigating to Objects Specified by Images.

Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Habitat-Matterport 3D Semantics Dataset.

Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John M. Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot

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

HomeRobot: Open-Vocabulary Mobile Manipulation.

Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.

Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 2023

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 2023

2022

Autonomous graph mining algorithm search with best performance trade-off.

Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos

Knowl. Inf. Syst., 2022

2021

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks.

Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off.

Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

TarMAC: Targeted Multi-Agent Communication.

Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau

Proceedings of the 36th International Conference on Machine Learning, 2019