Acceleration of stochastic methods on the example of decentralized SGD. - Ekaterina Trimbach; Alexander Rogozin (CoRR, 2020)

Manifold Topology Divergence: a Framework for Comparing Data Manifolds. - Serguei Barannikov; Ilya Trofimov; Grigorii Sotnikov; Ekaterina Trimbach; Alexander Korotin; Alexander Filippov; Evgeny Burnaev (NeurIPS, 2021)

On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. - Ekaterina Trimbach; Edward Duc Hien Nguyen; César A. Uribe (ECC, 2022)

Cost-Efficiency Trade-offs for Neural Cascade Rankers in Web Search. - Ekaterina Trimbach; Badr Abdallaoui; Paul Missault (WWW (Companion Volume), 2025)