Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution. - Beibit Abdikenov; Zangir Iklassov; Askhat Sharipov; Shahid Hussain 003; Prashant Kumar Jamwal (IEEE Access, 2019)

Robust Reinforcement Learning on Graphs for Logistics optimization. - Zangir Iklassov; Dmitrii Medvedev (CoRR, 2022)

AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography. - Zangir Iklassov; Dmitrii Medvedev; Otabek Nazarov (CoRR, 2022)

Learning to generalize Dispatching rules on the Job Shop Scheduling. - Zangir Iklassov; Dmitrii Medvedev; Ruben Solozabal; Martin Takác 001 (CoRR, 2022)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (ACML, 2023)

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. - Zangir Iklassov; Dmitrii Medvedev; Ruben Solozabal Ochoa de Retana; Martin Takác 001 (IJCAI, 2023)

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (IEEE Access, 2023)

Self-Guiding Exploration for Combinatorial Problems. - Zangir Iklassov; Yali Du 001; Farkhad Akimov; Martin Takác 001 (NeurIPS, 2024)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (CoRR, 2024)

A Decade of Deep Learning: A Survey on The Magnificent Seven. - Dilshod Azizov; Muhammad Arslan Manzoor; Velibor Bojkovic; Yingxu Wang; Zixiao Wang; Zangir Iklassov; Kailong Zhao; Liang Li; Siwei Liu 001; Yu Zhong; Wei Liu; Shangsong Liang (CoRR, 2024)

Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Benjamin Heinzerling; Velibor Bojkovic; Hilal AlQuabeh; Martin Takác 001; Kentaro Inui (ACL (1), 2025)

RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Velibor Bojkovic; Benjamin Heinzerling; Hilal Alqaubeh; Martin Takác 001; Kentaro Inui (CoRR, 2025)

LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs. - Omar Choukrani; Idriss Malek; Daniil Orel; Zhuohan Xie; Zangir Iklassov; Martin Takác 001; Salem Lahlou (CoRR, 2025)

SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem. - Ahmed Heakl; Yahia Salaheldin Shaaban; Martin Takác 001; Salem Lahlou; Zangir Iklassov (CoRR, 2025)