Sergio Arnaud

Researcher, FAIR, Meta AI

Joined

January 2023

Names

Sergio Arnaud (Preferred)

Emails

****@gmail.com (Confirmed)

****@meta.com

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

FAIR, Meta AI (meta.com)

2022 – Present

Undergrad student

Mathematics, Instituto Tecnológico Autonómo de México (itam.mx)

2015 – 2020

Advisors, Relations & Conflicts

Coauthor

Akshara Rai

2022 – 2024

Coauthor

Oleksandr Maksymets

2022 – 2024

Expertise

Embodied AI

Present

Reinforcement Learning

Present

Deep Learning

Present

Large Language Models

Present

Robotics

Present

World Modeling

Present

Publications

Visuo-Tactile World Models
Carolina Higuera, Sergio Arnaud, Byron Boots, Mustafa Mukadam, Francois Robert Hogan, Franziska Meier
- Submitted to ICLR 2026
- Readers: Everyone
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa et al. (9 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Sergio Arnaud, Paul McVay, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets et al. (2 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Unifying 2D and 3D Vision-Language Understanding
Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
- CoRR 2025
- Readers: Everyone
LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding
Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Sriram Yenamandra, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
- CoRR 2025
- Readers: Everyone
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets et al. (2 additional authors not shown)
- ICML 2025 spotlightposter
- Readers: Everyone
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
- ICML 2025 poster
- Readers: Everyone
Unifying 2D and 3D Vision-Language Understanding
Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
- ICML 2025 poster
- Readers: Everyone
OpenEQA: Embodied Question Answering in the Era of Foundation Models
Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Benjamin Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan et al. (4 additional authors not shown)
- MoMa WS 2024 Oral
- Readers: Everyone
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?
Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
- MoMa WS 2024 Oral
- Readers: Everyone

View all 20 publications

Co-Authors

View all 82 co-authors