BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections. - Konstantin V. Vorontsov; Oleksandr Frei; Murat Apishev; Peter Romov; Marina Dudarenko (AIST, 2015)

Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections. - Konstantin V. Vorontsov; Oleksandr Frei; Murat Apishev; Peter Romov; Marina Suvorova; Anastasia Yanina (TM@CIKM, 2015)

RecSys Challenge 2015: ensemble learning with categorical features. - Peter Romov; Evgeny Sokolov (RecSys Challenge, 2015)

Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2. - Aleksandr M. Semenov; Peter Romov; Sergey Korolev; Daniil Yashkov; Kirill Neklyudov (AIST, 2016)

Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing. - Aleksandr M. Semenov; Peter Romov; Kirill Neklyudov; Daniil Yashkov; Daniil Kireev (MLSA@PKDD/ECML, 2016)

Humans Keep It One Hundred: an Overview of AI Journey. - Tatiana Shavrina; Anton A. Emelyanov; Alena Fenogenova; Vadim Fomin; Vladislav Mikhailov; Andrey Evlampiev; Valentin Malykh; Vladimir Larin; Alex Natekin; Aleksandr Vatulin; Peter Romov; Daniil Anastasiev; et al. (LREC, 2020)

Federated Experiment Design under Distributed Differential Privacy. - Wei-Ning Chen; Graham Cormode; Akash Bharadwaj; Peter Romov; Ayfer Özgür (AISTATS, 2024)