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

Brandon Amos, Anselm Paulus, Arman Zharmagambetov, Ilia Kulikov, Ivan Evtimov, Kamalika Chaudhuri, Remi Munos

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

Arman Zharmagambetov, Yuandong Tian

August 02, 2024

July 25, 2023

CORE MACHINE LEARNING

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information

Aaron Ferber, Taoan Huang, Bistra Dilkina, Arman Zharmagambetov

July 25, 2023