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Ilya Trofimov
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2020 – today
- 2024
- [j12]Igor Udovichenko
, Egor Shvetsov
SeqNAS: Neural Architecture Search for Event Sequence Classification. IEEE Access 12: 3898-3909 (2024) - [j11]Egor Shvetsov
QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. IEEE Access 12: 117008-117025 (2024) - [j10]Polina Pilyugina
A Large-Scale Empirical Study of Aligned Time Series Forecasting. IEEE Access 12: 131100-131121 (2024) - [j9]Vladimir Zakharov, Ilya Trofimov
Developmental noise, entropy, and biological system condition. Biosyst. 244: 105310 (2024) - [c9]Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov:
Disentanglement Learning via Topology. ICML 2024 - [i16]Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Anatoliy Glushenko, Ivan Sukharev, Dmitry Berestnev, Evgeny Burnaev:
SeqNAS: Neural Architecture Search for Event Sequence Classification. CoRR abs/2401.03246 (2024) - [i15]Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov:
Scalar Function Topology Divergence: Comparing Topology of 3D Objects. CoRR abs/2407.08364 (2024) - 2023
- [j8]Ilya Trofimov
Multi-Fidelity Neural Architecture Search With Knowledge Distillation. IEEE Access 11: 59217-59225 (2023) - [c8]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning topology-preserving data representations. ICLR 2023 - [i14]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning Topology-Preserving Data Representations. CoRR abs/2302.00136 (2023) - [i13]Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev
Disentanglement Learning via Topology. CoRR abs/2308.12696 (2023) - 2022
- [j7]Nikita Klyuchnikov
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. IEEE Access 10: 45736-45747 (2022) - [j6]Artem Mikhaylov
Learned Query Optimizers: Evaluation and Improvement. IEEE Access 10: 75205-75218 (2022) - [j5]Timofey Grigoryev
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. Remote. Sens. 14(22): 5837 (2022) - [j4]Vladimir Zakharov, Ilya Trofimov
Developmental Noise and Biological System Condition: Prolegomena. Symmetry 14(11): 2380 (2022) - [j3]Vladimir Zakharov, Nadezhda P. Zhdanova, Ilya Trofimov
Phenotypic Variation in a Species Range: Another Look (Developmental Stability Study of the Meristic Variation in the Sand Lizard Lacerta agilis). Symmetry 14(11): 2426 (2022) - [c7]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022: 1607-1626 - [i12]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. CoRR abs/2201.00058 (2022) - [i11]Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. CoRR abs/2208.14839 (2022) - [i10]Timofey Grigoryev, Polina Verezemskaya
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. CoRR abs/2210.08877 (2022) - 2021
- [c6]Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NeurIPS 2021: 7294-7305 - [c5]Nina Mazyavkina, Samir Mohamed, Ilya Trofimov
Optimizing the Neural Architecture of Reinforcement Learning Agents. SAI (2) 2021: 591-606 - [i9]Serguei Barannikov
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. CoRR abs/2106.04024 (2021) - 2020
- [j2]Vladimir Zakharov, Elena Shadrina
Fluctuating Asymmetry, Developmental Noise and Developmental Stability: Future Prospects for the Population Developmental Biology Approach. Symmetry 12(8): 1376 (2020) - [j1]Vladimir Zakharov, Ilya Trofimov
Fluctuating Asymmetry and Population Dynamics of the Common Shrew, Sorex araneus, in Central Siberia under Climate Change Conditions. Symmetry 12(12): 1960 (2020) - [i8]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. CoRR abs/2006.07116 (2020) - [i7]Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev:
Multi-fidelity Neural Architecture Search with Knowledge Distillation. CoRR abs/2006.08341 (2020) - [i6]Nina Mazyavkina, Samir Mohamed
Optimizing the Neural Architecture of Reinforcement Learning Agents. CoRR abs/2011.14632 (2020) - [i5]Serguei Barannikov
Topological obstructions in neural networks learning. CoRR abs/2012.15834 (2020)
2010 – 2019
- 2018
- [i4]Ilya Trofimov:
Inferring Complementary Products from Baskets and Browsing Sessions. CoRR abs/1809.09621 (2018) - 2016
- [i3]Ilya Trofimov, Alexander Genkin:
Distributed Coordinate Descent for Generalized Linear Models with Regularization. CoRR abs/1611.02101 (2016) - 2015
- [c4]Ilya Trofimov
Distributed Coordinate Descent for L1-regularized Logistic Regression. AIST 2015: 243-254 - 2014
- [c3]Vyacheslav Alipov, Valery A. Topinsky, Ilya Trofimov
On peculiarities of positional effects in sponsored search. SIGIR 2014: 1015-1018 - [i2]Ilya Trofimov, Alexander Genkin:
Distributed Coordinate Descent for L1-regularized Logistic Regression. CoRR abs/1411.6520 (2014) - [i1]Afroze Ibrahim Baqapuri, Ilya Trofimov:
Using Neural Networks for Click Prediction of Sponsored Search. CoRR abs/1412.6601 (2014) - 2013
- [c2]Ilya Trofimov
New features for query dependent sponsored search click prediction. WWW (Companion Volume) 2013: 117-118 - 2012
- [c1]Ilya Trofimov
Using boosted trees for click-through rate prediction for sponsored search. AdKDD@KDD 2012: 2:1-2:6
Coauthor Index
aka: Evgeniy Burnaev
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