Carlos Guestrin

Chan Zuckerberg Initiative (United States) — United States

Computer Science · Physical Sciences

73h-index47.9kcitations244works7.02yr avg
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Research Topics

Bayesian Modeling and Causal Inference(40), Energy Efficient Wireless Sensor Networks(31), Machine Learning and Algorithms(28), Machine Learning and Data Classification(28), Data Management and Algorithms(22)

Publications244 total

End-to-End Test-Time Training for Long Context
arXiv (Cornell University)·2025Open Access
End-to-End Test-Time Training for Long Context
ArXiv.org·2025Open Access
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arXiv (Cornell University)·2025Open Access
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS
Proceedings of the VLDB Endowment·2025· 1 cited
Physical Activity Is Associated With Improved Glycemic Outcomes in Newly Diagnosed Youth With Type 1 Diabetes: 4T Exercise Program
Diabetes Care·2025· 2 citedOpen Access
metaTextGrad: Automatically optimizing language model optimizers
arXiv (Cornell University)·2025Open Access
One-Minute Video Generation with Test-Time Training
arXiv (Cornell University)·2025Open Access
Optimizing generative AI by backpropagating language model feedback
Nature·2025· 35 cited
Benchmarking Distributional Alignment of Large Language Models
2025Open Access
Obfuscated Activations Bypass LLM Latent-Space Defenses
arXiv (Cornell University)·2024Open Access
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds
arXiv (Cornell University)·2024Open Access
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
arXiv (Cornell University)·2024· 1 citedOpen Access
Benchmarking Distributional Alignment of Large Language Models
arXiv (Cornell University)·2024Open Access
Model Equality Testing: Which Model Is This API Serving?
arXiv (Cornell University)·2024Open Access
Text2SQL is Not Enough: Unifying AI and Databases with TAG
arXiv (Cornell University)·2024· 3 citedOpen Access
Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
arXiv (Cornell University)·2024· 9 citedOpen Access
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
arXiv (Cornell University)·2024· 14 citedOpen Access
1188-P: Sustained Improvements in Glycemia over Three Years in the Teamwork, Targets, Technology, and Tight Control (Pilot 4T) Study
Diabetes·2024
TextGrad: Automatic "Differentiation" via Text
arXiv (Cornell University)·2024· 10 citedOpen Access
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
Proceedings of the ACM on Management of Data·2024· 29 cited
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Frequent Co-authors

Andreas Krause(15), Sameer Singh(6), Joseph M. Hellerstein(6), Tianqi Chen(6), Marco Túlio Ribeiro(5), Yucheng Low(5), Danny Bickson(5), Joseph E. Gonzalez(5), Aapo Kyrola(5), Samuel Madden(5), Daphne Koller(4), Jure Leskovec(3), Jeanne M. VanBriesen(3), Amol Deshpande(3), Thierry Moreau(3), Ziheng Jiang(3), Lianmin Zheng(3), Eddie Yan(3), Luís Ceze(3), Arvind Krishnamurthy(3)