Fine-Tuning a Time Series Foundation Model with Wasserstein Loss. - Andrei Chernov (CoRR, 2024)

(GG) MoE vs. MLP on Tabular Data. - Andrei Chernov (CoRR, 2025)

Evaluating Expert Contributions in a MoE LLM for Quiz-Based Tasks. - Andrei Chernov (CoRR, 2025)

The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE. - Andrei Chernov; Oleg Novitskij (CoRR, 2025)

Binary Cumulative Encoding meets Time Series Forecasting. - Andrei Chernov; Vitaliy Pozdnyakov; Ilya Makarov (CoRR, 2025)