Antonio Torralba

Antonio Torralba is the Delta Electronics Professor of Electrical Engineering and Computer Science at MIT’s Department of Electrical Engineering and Computer Science (EECS) and 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

• Schwettmann, S., Shaham, T. R., Materzyńska, J., Chowdhury, N., Li, S., Andreas, J., Bau, D., Torralba, A. (2023). A Function Interpretation Benchmark for Evaluating Interpretability Methods. Conference on Neural Information Processing Systems (NeurIPS).
• Gan, C., Xian, Z., Zhu, B., Xu, Z., Tung, H-Y., Torralba, A., Fragkiadaki, K. (2023). FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. International Conference on Learning Representations (ICLR).
• Su, K., Qian, K., Shlizerman, E., Torralba, A., Chuang Gan, C. (2023). Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. Conference on Computer Vision and Pattern Recognition (CVPR).

Media

• May 24, 2023: MIT News, Helping robots handle fluids.
• November 23, 2022: MIT News, A simpler path to better computer vision.
• November 8, 2019: MIT News, Visualizing an AI model’s blind spots.