YASENN: Explaining Neural Networks via Partitioning Activation Sequences. - Yaroslav Zharov; Denis Korzhenkov; Pavel Shvechikov; Alexander Tuzhilin (CoRR, 2018)

High-Resolution Daytime Translation Without Domain Labels. - Ivan Anokhin; Pavel Solovev; Denis Korzhenkov; Alexey Kharlamov; Taras Khakhulin; Aleksei Silvestrov; Sergey I. Nikolenko; Victor Lempitsky; Gleb Sterkin (CVPR, 2020)

Image Generators With Conditionally-Independent Pixel Synthesis. - Ivan Anokhin; Kirill Demochkin; Taras Khakhulin; Gleb Sterkin; Victor Lempitsky; Denis Korzhenkov (CVPR, 2021)

Stereo Magnification with Multi-Layer Images. - Taras Khakhulin; Denis Korzhenkov; Pavel Solovev; Gleb Sterkin; Andrei-Timotei Ardelean; Victor Lempitsky (CVPR, 2022)

Self-improving Multiplane-to-layer Images for Novel View Synthesis. - Pavel Solovev; Taras Khakhulin; Denis Korzhenkov (WACV, 2023)

A Mutual Information Perspective on Federated Contrastive Learning. - Christos Louizos; Matthias Reisser; Denis Korzhenkov (ICLR, 2024)

On Sampling Strategies for Spectral Model Sharding. - Denis Korzhenkov; Christos Louizos (NeurIPS, 2024)

Mobile Video Diffusion. - Haitam Ben Yahia; Denis Korzhenkov; Ioannis Lelekas; Amir Ghodrati; Amirhossein Habibian (CoRR, 2024)