Prof. John Guttag — Research Profile
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
About
Prof. John Guttag at Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science lists AI for Healthcare, Biomedical Systems as their registered research area.
Research keywords
Recent papers
- FleXray: Universal Clinical X-ray SegmentationPreprintarXiv (Cornell University) · Sep 22
- A Removal Based Approach to Improve LLM Faithfulness at Test-TimePreprintarXiv (Cornell University) · Sep 3
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Sanmi Koyejo 교수 연구실
Stanford University · Computer Science
Verbalizing Subliminal Learning Effects Using Text OptimizationPreprintarXiv (Cornell University) · Sep 15Shared topic: Adversarial Robustness in Machine Learning
Text Information Management and Analysis Research (TIMAN)
University of Illinois Urbana-Champaign · Computer Science
Sparse Autoencoders Are a Shared Coordinate System for Symbolic MatchingNewPreprintarXiv (Cornell University) · Oct 14Shared topic: Explainable Artificial Intelligence (XAI)
Andrea Zanette 교수 연구실
Carnegie Mellon University · Electrical and Computer Engineering
Anchors Enhance Controllability and Reasoning of Diffusion Language ModelsNewPreprintarXiv (Cornell University) · Oct 10Shared topic: Topic Modeling
Other labs in this department
- Adam Chlipala 교수 연구실
Programming Languages, Security
- Aleksander Mądry 교수 연구실
AI and Society, Machine Learning
- Anantha Chandrakasan 교수 연구실
Machine Learning, Electronics
- Ankur Moitra 교수 연구실
Machine Learning, Theory
- Arvind Satyanarayan 교수 연구실
Machine Learning, Human-Computer Interaction
- Asu Ozdaglar 교수 연구실
AI and Society, Optimization