RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. - Matt Deitke; Winson Han; Alvaro Herrasti; Aniruddha Kembhavi; Eric Kolve; Roozbeh Mottaghi; Jordi Salvador; Dustin Schwenk; Eli VanderBilt; Matthew Wallingford; Luca Weihs; Mark Yatskar; et al. (CVPR, 2020)

In the Wild: From ML Models to Pragmatic ML Systems. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (CoRR, 2020)

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. - Aditya Kusupati; Matthew Wallingford; Vivek Ramanujan; Raghav Somani; Jae Sung Park; Krishna Pillutla; Prateek Jain 002; Sham M. Kakade; Ali Farhadi (NeurIPS, 2021)

Task Adaptive Parameter Sharing for Multi-Task Learning. - Matthew Wallingford; Hao Li; Alessandro Achille; Avinash Ravichandran; Charless C. Fowlkes; Rahul Bhotika; Stefano Soatto (CVPR, 2022)

Matryoshka Representation Learning. - Aditya Kusupati; Gantavya Bhatt; Aniket Rege; Matthew Wallingford; Aditya Sinha; Vivek Ramanujan; William Howard-Snyder; Kaifeng Chen; Sham M. Kakade; Prateek Jain 002; Ali Farhadi (NeurIPS, 2022)

Matryoshka Representations for Adaptive Deployment. - Aditya Kusupati; Gantavya Bhatt; Aniket Rege; Matthew Wallingford; Aditya Sinha; Vivek Ramanujan; William Howard-Snyder; Kaifeng Chen; Sham M. Kakade; Prateek Jain 002; Ali Farhadi (CoRR, 2022)

Neural Radiance Field Codebooks. - Matthew Wallingford; Aditya Kusupati; Alex Fang; Vivek Ramanujan; Aniruddha Kembhavi; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

Objaverse-XL: A Universe of 10M+ 3D Objects. - Matt Deitke; Ruoshi Liu; Matthew Wallingford; Huong Ngo; Oscar Michel; Aditya Kusupati; Alan Fan; Christian Laforte; Vikram Voleti; Samir Yitzhak Gadre; Eli VanderBilt; Aniruddha Kembhavi; et al. (NeurIPS, 2023)

Neural Priming for Sample-Efficient Adaptation. - Matthew Wallingford; Vivek Ramanujan; Alex Fang; Aditya Kusupati; Roozbeh Mottaghi; Aniruddha Kembhavi; Ludwig Schmidt; Ali Farhadi (NeurIPS, 2023)

FLUID: A Unified Evaluation Framework for Flexible Sequential Data. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (Trans. Mach. Learn. Res., 2023)

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. - Scott Geng; Cheng-Yu Hsieh; Vivek Ramanujan; Matthew Wallingford; Chun-Liang Li; Pang Wei Koh; Ranjay Krishna (NeurIPS, 2024)

Multilingual Diversity Improves Vision-Language Representations. - Thao Nguyen; Matthew Wallingford; Sebastin Santy; Wei-Chiu Ma; Sewoong Oh; Ludwig Schmidt; Pang Wei W. Koh; Ranjay Krishna (NeurIPS, 2024)

Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. - Ethan Shen; Alan Fan; Sarah M. Pratt; Jae Sung Park; Matthew Wallingford; Sham M. Kakade; Ari Holtzman; Ranjay Krishna; Ali Farhadi; Aditya Kusupati (NeurIPS, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (NeurIPS, 2024)

Multilingual Diversity Improves Vision-Language Representations. - Thao Nguyen; Matthew Wallingford; Sebastin Santy; Wei-Chiu Ma; Sewoong Oh; Ludwig Schmidt; Pang Wei Koh; Ranjay Krishna (CoRR, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Sham M. Kakade; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (CoRR, 2024)

Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos. - Rundong Luo; Matthew Wallingford; Ali Farhadi; Noah Snavely; Wei-Chiu Ma (CoRR, 2025)