Prof. Aditi Raghunathan — Research Profile
Carnegie Mellon University · Computer Science Department
About
Prof. Aditi Raghunathan at Carnegie Mellon University Computer Science Department lists Artificial Intelligence, Machine Learning as their registered research area.
Research keywords
Recent papers
- Large Flow Language ModelsNewPreprintarXiv (Cornell University) · Oct 20
- Scalable Weak-to-Strong Verifier Hardening for Agent EnvironmentsNewPreprintarXiv (Cornell University) · Oct 11
- Off-Policy Merging Beats On-Policy Self-Distillation for Continual LearningPreprintarXiv (Cornell University) · Oct 5
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
Sergey Levine 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
Measuring Empowerment from Offline Data for Intrinsically Motivated ExplorationNewPreprintarXiv (Cornell University) · Oct 17Shared topic: Reinforcement Learning in Robotics
Andrea Zanette 교수 연구실
Carnegie Mellon University · Electrical and Computer Engineering
Tail-Likelihood Reinforcement LearningPreprintarXiv (Cornell University) · Sep 2Shared topic: Reinforcement Learning in Robotics
Other labs in this department
- Aayush Jain 교수 연구실
Theory, Cryptography
- Andrew Pavlo 교수 연구실
Systems, Databases, Distributed Systems
- Aviral Kumar 교수 연구실
Artificial Intelligence, Machine Learning, Robotics
- Chris Donahue 교수 연구실
Artificial Intelligence, Machine Learning
- Christos Faloutsos 교수 연구실
Artificial Intelligence, Systems, Databases, Data Mining
- Danny Sleator 교수 연구실
Theory, Algorithms and Complexity, Artificial Intelligence