Data Driven Chiller Plant Energy Optimization with Domain Knowledge. - Hoang Dung Vu; Kok-Soon Chai; Bryan D. Keating; Nurislam Tursynbek; Boyan Xu; Kaige Yang; Xiaoyan Yang; Zhenjie Zhang (CIKM, 2017)

Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. - Nurislam Tursynbek; Ghazal Ghahramany; Sheida Nabavi; Amin Zollanvari (BIBM, 2018)

Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network. - Vasilios Zarikas; Elpiniki Papageorgiou; Damira Pernebayeva; Nurislam Tursynbek (ICAART (2), 2018)

Black-Box Face Recovery from Identity Features. - Anton Razzhigaev; Klim Kireev; Edgar Kaziakhmedov; Nurislam Tursynbek; Aleksandr Petiushko (ECCV Workshops (5), 2020)

Follow the bisector: a simple method for multi-objective optimization. - Alexandr Katrutsa; Daniil Merkulov; Nurislam Tursynbek; Ivan V. Oseledets (CoRR, 2020)

Robustness Threats of Differential Privacy. - Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (CoRR, 2020)

Adversarial Turing Patterns from Cellular Automata. - Nurislam Tursynbek; Ilya Vilkoviskiy; Maria Sindeeva; Ivan V. Oseledets (AAAI, 2021)

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. - Mikhail Pautov; Nurislam Tursynbek; Marina Munkhoeva; Nikita Muravev; Aleksandr Petiushko; Ivan V. Oseledets (AAAI, 2022)

Smoothed Embeddings for Certified Few-Shot Learning. - Mikhail Pautov; Olesya Kuznetsova; Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (NeurIPS, 2022)

Geometry-Inspired Top-k Adversarial Perturbations. - Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (WACV, 2022)

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. - Nurislam Tursynbek; Marc Niethammer (MICCAI (1), 2023)

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models. - Nurislam Tursynbek; Thomas Hastings Greer; Basar Demir; Marc Niethammer (CoRR, 2025)