Daniil Shlenskii

According to our database, Daniil Shlenskii authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Midpoint Generative Models.

Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy, Dmitry V. Dylov, Alexander Korotin

CoRR, May, 2026

Unlocking the Duality between Flow and Field Matching.

Daniil Shlenskii, Alexander Varlamov, Nazar Buzun, Alexander Korotin

CoRR, February, 2026

2025

Overclocking Electrostatic Generative Models.

Daniil Shlenskii, Alexander Korotin

CoRR, September, 2025

HOTA: Hamiltonian framework for Optimal Transport Advection.

Nazar Buzun, Daniil Shlenskii, Maxim Bobrin, Dmitry V. Dylov

CoRR, July, 2025

YaART: Yet Another ART Rendering Technology.

Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Does Diffusion Beat GAN in Image Super Resolution?

Denis Kuznedelev, Valerii Startsev, Daniil Shlenskii, Sergey Kastryulin

CoRR, 2024

YaART: Yet Another ART Rendering Technology.

Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov

CoRR, 2024

TabR: Tabular Deep Learning Meets Nearest Neighbors.

Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning.

Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

CoRR, 2023