Daniil Merkulov

11 papers A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
PERELMAN: Pipeline for scientific literature meta-analysis. Technical report.
CoRR
Daniil Sherki, Daniil Merkulov, Alexandra Savina, Ekaterina A. Muravleva
2025 J jnl
The Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization.
CoRR
Alexey Kravatskiy, Ivan Kozyrev, Nikolai Kozlov, Alexander Vinogradov, Daniil Merkulov, Ivan V. Oseledets
2024 A conf
Quantization of Large Language Models with an Overdetermined Basis.
UAI
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024 J jnl
Quantization of Large Language Models with an Overdetermined Basis.
CoRR
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2022 J jnl
Memory-Efficient Backpropagation through Large Linear Layers.
CoRR
Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets
2022 J jnl
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers.
CoRR
Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets
2021 — conf
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History.
ICCS (4)
Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets
2021 J jnl
Fast Line Search for Multi-Task Learning.
CoRR
Andrey Filatov, Daniil Merkulov
2020 J jnl
Follow the bisector: a simple method for multi-objective optimization.
CoRR
Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets
2020 J jnl
Stochastic gradient algorithms from ODE splitting perspective.
CoRR
Daniil Merkulov, Ivan V. Oseledets
2019 J jnl
Empirical study of extreme overfitting points of neural networks.
CoRR
Daniil Merkulov, Ivan V. Oseledets