Recommender system for an academic supervisor with a matrix normalization approach. - Vladimir Kazakovtsev; Svyatoslav Oreshin; Alexey Serdyukov; Egor Krasheninnikov; Sergey Muravyov; Albert Bezvinnyi; Alexander Panfilov; Igor Glukhov; Yulia E. Kaliberda; Daniil Masalskiy; Timofey Podolenchuk; Maksim Khlopotov (CCRIS, 2020)

Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. - Svyatoslav Oreshin; Andrey Filchenkov; Polina Petrusha; Egor Krasheninnikov; Alexander Panfilov; Igor Glukhov; Yulia E. Kaliberda; Daniil Masalskiy; Alexey Serdyukov; Vladimir Kazakovtsev; Maksim Khlopotov; Timofey Podolenchuk; et al. (CCRIS, 2020)

Meta- (out-of-context) learning in neural networks. - Dmitrii Krasheninnikov; Egor Krasheninnikov; Bruno Mlodozeniec; David Krueger 001 (CoRR, 2023)

Implicit meta-learning may lead language models to trust more reliable sources. - Dmitrii Krasheninnikov; Egor Krasheninnikov; Bruno Kacper Mlodozeniec; Tegan Maharaj; David Krueger 001 (ICML, 2024)