Scholar
Padhraic Smyth
Google Scholar ID: OsoQ-dcAAAAJ
Distinguished Professor, Computer Science, University of California Irvine
Citations & Impact
Citations
15,640
H-index
56
i10-index
159
Publications
20
Co-authors
53
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Selected Recent Papers:
- - Bayesian inference for correlated human experts and classifiers (ICML, 2025)
- - What large language models know and what people think they know (Nature Machine Intelligence, 2025)
- - A generative diffusion model for probabilistic ensembles of precipitation maps conditioned on multisensor satellite observations (IEEE Transactions on Geoscience and Remote Sensing, 2025)
- - Perceptions of linguistic uncertainty by language models and humans (EMNLP, 2024)
- - Benchmark data repositories for better benchmarking (NeurIPS Track on Datasets and Benchmarks, 2024)
- - Functional flow matching (AISTATS, 2024, Outstanding Student Paper Award)
- - Probabilistic querying of continuous-time event sequences (AISTATS, 2023)
- - Predictive querying for autoregressive neural sequence models (NeurIPS, 2022)
- - Fair generalized linear models with a convex penalty (ICML, 2022)
- - Bayesian modeling of human-AI complementarity (PNAS, 2022)
Research Experience
- Work Experience:
- - Distinguished Professor, Department of Computer Science, School of Information and Computer Sciences, University of California, Irvine
- - Hasso Plattner Endowed Chair in Artificial Intelligence
- - Associate (and Founding) Director, Center for Machine Learning and Intelligent Systems
- - Faculty Director, UCI Machine Learning Repository
- - Co-Director, HPI Research Center in Machine Learning and Data Science at UCI
- - Faculty Affiliate, UCI AI in Science Institute
- - Faculty Affiliate, UCI Steckler Center for Responsible, Ethical, and Accessible Technology (CREATe)
- - Faculty Affiliate, UCI Connected Learning Lab (CLL)
- Teaching Experience:
- - CS 274A, Probabilistic Learning
- - CS 175, Project in Artificial Intelligence
- - CS 178, Machine Learning and Data Mining
- - Stats 5, Seminar in Data Science
- - Stats 170A/B, Capstone Project in Data Science
Background
- Research Interests: machine learning, artificial intelligence, pattern recognition, statistics
- Professional Fields: Computer Science, Statistics
- Brief Introduction: Distinguished Professor in the Department of Computer Science at the University of California, Irvine, Hasso Plattner Endowed Chair in Artificial Intelligence, and serves as director or co-director in multiple research centers and labs.
