UC Irvine · Bren School of ICS
The foundations and applications of machine learning.
Faculty and students at CML come from computer science, statistics, informatics, mathematics, and the cognitive and natural sciences. Our research develops the foundations of machine learning and applies them to problems in science, engineering, and society.
What we work on
Research areas
Our research ranges from the theory of learning to its application across the sciences, engineering, and society.
Theoretical Foundations of AI
Statistical and probabilistic learning and causal inference.
Generative AI
Designing foundational approaches for modeling and generating an uncertain world.
Computer Vision
Learning to interpret images and video, from scene understanding to generative models.
Natural Language & Cognition
Language understanding, interpretability, and computational models of human cognition.
Robotics & Reinforcement Learning
Agents that learn to act, optimization, and the theory of learning dynamics.
ML for Science
Applications in genomics, physics, climate, and health.
ML Systems
ML Efficiency, Networks, Databases.
Our people
Center leadership
Recent highlights
News & awards
Pierre Baldi receives the 2023 INNS Dennis Gabor Award
The International Neural Network Society recognized Distinguished Prof. Pierre Baldi for remarkable contributions to the engineering of neural networks and applications of machine learning.
Outstanding Student Paper Award at AISTATS 2024
Gavin Kerrigan and Giosue Migliorini, with Prof. Padhraic Smyth, won an Outstanding Student Paper Award for work on functional flow matching.
Best Paper Award at NeurIPS 2023
Justus Will, Stephan Mandt, and Pierre Baldi were part of the team that won an Outstanding Dataset Paper award for ClimSim, the largest-ever dataset for hybrid physics-ML climate emulation.