About
 

Antonio Torralba

Delta Electronics Professor and Faculty Head of AI and Decision-Making, Department of Electrical Engineering and Computer Science; MIT Schwarzman College of Computing

Research Publications

Who they work with

Categories

Computer Vision Deep Learning Explainability Generative Models Machine Learning Multimodal Learning Unsupervised Learning

Antonio Torralba is the Delta Electronics Professor in MIT’s Department of Electrical Engineering and Computer Science (EECS) and the faculty head of Artificial Intelligence and Decision Making (AI+D) as part of the School of Engineering and Schwarzman College of Computing. He is also an investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL). He also heads the faculty of artificial intelligence and decision-making in the MIT Schwarzman College of Computing. Previously, he led the MIT Quest for Intelligence as its inaugural director, and was the MIT director of the MIT–IBM Watson AI Lab. Torralba researches computer vision, machine learning, and human visual perception, with an interest in building systems that can perceive the world the way humans do. He has received an NSF Career award, the International Association for Pattern Recognition’s JK Aggarwal Prize, a Frank Quick Faculty Research Innovation Fellowship and a Louis D. Smullin (’39) Award for Teaching Excellence. Torralba earned a BS from Telecom BCN, Spain, and a PhD from the Institut National Polytechnique de Grenoble, France.

Selected Publications

  • Chen, Z., Dong, S., Yi, K., Li, Y., Ding, M., Torralba, A., Tenenbaum, J. B., & Gan, C. (2025). Compositional physical reasoning of objects and events from videos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(9), 7689–7703.
  • Sharma, P., Shaham, T. R., Baradad, M., Fu, S., Rodriguez-Munoz, A., Duggal, S., Isola, P., & Torralba, A. (2024). A vision check-up for language models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE/CVF.
  • Shaham, T. R., Schwettmann, S., Wang, F., Rajaram, A., Hernandez, E., Andreas, J., & Torralba, A. (2024). A multimodal automated interpretability agent. In Proceedings of the 41st International Conference on Machine Learning (ICML). PMLR.

Media