Arman Zharmagambetov
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Arman Zharmagambetov is a Research Scientist in the Fundamental AI Research (FAIR) team at Meta. His research primarily focuses on machine learning and optimization, with recent projects exploring their application in enhancing the security and robustness of AI models.
Arman's Work
Arman's Publications
December 26, 2025
REINFORCEMENT LEARNING
NLP
Safety Alignment of LMs via Non-cooperative Games
Anselm Paulus, Ilia Kulikov, Brandon Amos, Remi Munos, Ivan Evtimov, Kamalika Chaudhuri, Arman Zharmagambetov
December 26, 2025
August 12, 2024
CORE MACHINE LEARNING
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Arman Zharmagambetov, Yuandong Tian, Aaron Ferber, Bistra Dilkina, Taoan Huang
August 12, 2024
August 02, 2024
CORE MACHINE LEARNING
GenCO: Generating Diverse Designs with Combinatorial Constraints
August 02, 2024
July 25, 2023
CORE MACHINE LEARNING
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Arman Zharmagambetov, Aaron Ferber, Taoan Huang, Bistra Dilkina
July 25, 2023
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