Learning Control Policies for Region Stabilization in Stochastic Systems. - Matin Ansaripour; Mathias Lechner; Dorde Zikelic; Krishnendu Chatterjee; Thomas A. Henzinger (CoRR, 2022)

Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems. - Matin Ansaripour; Krishnendu Chatterjee; Thomas A. Henzinger; Mathias Lechner; Dorde Zikelic (ATVA (1), 2023)

Gabow's Cardinality Matching Algorithm in General Graphs: Implementation and Experiments. - Matin Ansaripour; Alireza Danaei; Kurt Mehlhorn (CoRR, 2024)

LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ. - Marc-Antoine Allard; Matin Ansaripour; Maria Yuffa; Paul Teiletche (CoRR, 2024)

Approximate EFX and Exact tEFX Allocations for Indivisible Chores: Improved Algorithms. - Mahyar Afshinmehr; Matin Ansaripour; Alireza Danaei; Kurt Mehlhorn (CoRR, 2024)

Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence. - Shayan Talaei; Matin Ansaripour; Giorgi Nadiradze; Dan Alistarh (AAAI, 2025)

WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts. - Negar Foroutan; Angelika Romanou; Matin Ansaripour; Julian Martin Eisenschlos; Karl Aberer; Rémi Lebret (ACL (Findings), 2025)

Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs. - Dongyang Fan; Vinko Sabolcec; Matin Ansaripour; Ayush Kumar Tarun; Martin Jaggi; Antoine Bosselut; Imanol Schlag (CoRR, 2025)