Ilya Trofimov

According to our database, Ilya Trofimov authored at least 24 papers between 2012 and 2024.

Collaborative distances:

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

2024

SeqNAS: Neural Architecture Search for Event Sequence Classification.

Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev, Evgeny Burnaev

IEEE Access, 2024

2023

Disentanglement Learning via Topology.

Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

CoRR, 2023

Multi-Fidelity Neural Architecture Search With Knowledge Distillation.

Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev

IEEE Access, 2023

Learning topology-preserving data representations.

Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Phenotypic Variation in a Species Range: Another Look (Developmental Stability Study of the Meristic Variation in the Sand Lizard Lacerta agilis).

Vladimir Zakharov, Nadezhda P. Zhdanova, Ilya Trofimov

Symmetry, November, 2022

Developmental Noise and Biological System Condition: Prolegomena.

Vladimir Zakharov, Ilya Trofimov

Symmetry, November, 2022

Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting.

Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy

Remote. Sens., 2022

QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise.

Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev

CoRR, 2022

Learned Query Optimizers: Evaluation and Improvement.

Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev

IEEE Access, 2022

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing.

Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Alexander Filippov, Evgeny Burnaev

IEEE Access, 2022

Representation Topology Divergence: A Method for Comparing Neural Network Representations.

Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev

Proceedings of the International Conference on Machine Learning, 2022

2021

Optimizing the Neural Architecture of Reinforcement Learning Agents.

Nina Mazyavkina, Samir Mohamed, Ilya Trofimov, Evgeny Burnaev

Proceedings of the Intelligent Computing, 2021

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.

Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Fluctuating Asymmetry and Population Dynamics of the Common Shrew, Sorex araneus, in Central Siberia under Climate Change Conditions.

Vladimir Zakharov, Ilya Trofimov, Boris I. Sheftel

Symmetry, 2020

Fluctuating Asymmetry, Developmental Noise and Developmental Stability: Future Prospects for the Population Developmental Biology Approach.

Vladimir Zakharov, Elena Shadrina, Ilya Trofimov

Symmetry, 2020

Topological obstructions in neural networks learning.

Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev

CoRR, 2020

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing.

Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev

CoRR, 2020

2018

Inferring Complementary Products from Baskets and Browsing Sessions.

Ilya Trofimov

CoRR, 2018

2016

Distributed Coordinate Descent for Generalized Linear Models with Regularization.

Ilya Trofimov, Alexander Genkin

CoRR, 2016

2015

Distributed Coordinate Descent for L1-regularized Logistic Regression.

Ilya Trofimov, Alexander Genkin

Proceedings of the Analysis of Images, Social Networks and Texts, 2015

2014

Using Neural Networks for Click Prediction of Sponsored Search.

Afroze Ibrahim Baqapuri, Ilya Trofimov

CoRR, 2014

On peculiarities of positional effects in sponsored search.

Vyacheslav Alipov, Valery A. Topinsky, Ilya Trofimov

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

New features for query dependent sponsored search click prediction.

Ilya Trofimov

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Using boosted trees for click-through rate prediction for sponsored search.

Ilya Trofimov, Anna Kornetova, Valery A. Topinskiy

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012