Conformalized Kernel Ridge Regression. - Evgeny Burnaev; Ivan Nazarov (ICMLA, 2016)

Conformal k-NN Anomaly Detector for Univariate Data Streams. - Vladislav Ishimtsev; Alexander Bernstein; Evgeny Burnaev; Ivan Nazarov (COPA, 2017)

Conformal k-NN Anomaly Detector for Univariate Data Streams. - Vladislav Ishimtsev; Ivan Nazarov; Alexander Bernstein; Evgeny Burnaev (CoRR, 2017)

Steganographic Generative Adversarial Networks. - Denis Volkhonskiy; Ivan Nazarov; Boris Borisenko; Evgeny Burnaev (CoRR, 2017)

Sparse Group Inductive Matrix Completion. - Ivan Nazarov; Boris Shirokikh; Maria Burkina; Gennady Fedonin; Maxim Panov (CoRR, 2018)

Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. - Rodrigo Rivera-Castro; Aleksandr Pletnev; Polina Pilyugina; Grecia Diaz; Ivan Nazarov; Wanyi Zhu; Evgeny Burnaev (DSAA, 2019)

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Ivan Maksimov; Aleksandr Pletnev; Evgeny Burnaev (ICMLA, 2019)

Steganographic generative adversarial networks. - Denis Volkhonskiy; Ivan Nazarov; Evgeny Burnaev (ICMV, 2019)

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Alexander Pletneev; Ivan Maksimov; Evgeny Burnaev (ISNN (1), 2019)

Bayesian Sparsification of Deep C-valued Networks. - Ivan Nazarov; Evgeny Burnaev (ICML, 2020)

Bayesian Sparsification Methods for Deep Complex-valued Networks. - Ivan Nazarov; Evgeny Burnaev (CoRR, 2020)

Insights From the NeurIPS 2021 NetHack Challenge. - Eric Hambro; Sharada P. Mohanty; Dmitrii Babaev; Minwoo Byeon; Dipam Chakraborty; Edward Grefenstette; Minqi Jiang; DaeJin Jo; Anssi Kanervisto; Jongmin Kim 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 2021)

CoLES: Contrastive Learning for Event Sequences with Self-Supervision. - Dmitrii Babaev; Nikita Ovsov; Ivan Kireev; Mariya Ivanova; Gleb Gusev; Ivan Nazarov; Alexander Tuzhilin (SIGMOD Conference, 2022)

Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. - Alexander Ponomarchuk; Ilya Burenko; Elian Malkin; Ivan Nazarov; Vladimir Kokh; Manvel Avetisian; Leonid Zhukov (IEEE J. Sel. Top. Signal Process., 2022)

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings. - África Periáñez; Kathrin Schmitz; Lazola Makhupula; Moiz Hassan Khan; Moeti Moleko; Ana Fernández del Río; Ivan Nazarov; Aditya Rastogi; Dexian Tang (CoRR, 2024)

Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems. - África Periáñez; Ana Fernández del Río; Ivan Nazarov; Enric Jané; Moiz Hassan; Aditya Rastogi; Dexian Tang (CoRR, 2024)

From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance. - Jiamin Xu; Ivan Nazarov; Aditya Rastogi; África Periáñez; Kyra Gan (CoRR, 2025)