Using boosted trees for click-through rate prediction for sponsored search. - Ilya Trofimov; Anna Kornetova; Valery A. Topinskiy (AdKDD@KDD, 2012)

New features for query dependent sponsored search click prediction. - Ilya Trofimov (WWW (Companion Volume), 2013)

On peculiarities of positional effects in sponsored search. - Vyacheslav Alipov; Valery A. Topinsky; Ilya Trofimov (SIGIR, 2014)

Using Neural Networks for Click Prediction of Sponsored Search. - Afroze Ibrahim Baqapuri; Ilya Trofimov (CoRR, 2014)

Distributed Coordinate Descent for L1-regularized Logistic Regression. - Ilya Trofimov; Alexander Genkin (AIST, 2015)

Distributed Coordinate Descent for Generalized Linear Models with Regularization. - Ilya Trofimov; Alexander Genkin (CoRR, 2016)

Inferring Complementary Products from Baskets and Browsing Sessions. - Ilya Trofimov (CoRR, 2018)

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)

Topological obstructions in neural networks learning. - Serguei Barannikov; Grigorii Sotnikov; Ilya Trofimov; Alexander Korotin; Evgeny Burnaev (CoRR, 2020)

Fluctuating Asymmetry, Developmental Noise and Developmental Stability: Future Prospects for the Population Developmental Biology Approach. - Vladimir Zakharov; Elena Shadrina; Ilya Trofimov (Symmetry, 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)

Manifold Topology Divergence: a Framework for Comparing Data Manifolds. - Serguei Barannikov; Ilya Trofimov; Grigorii Sotnikov; Ekaterina Trimbach; Alexander Korotin; Alexander Filippov; Evgeny Burnaev (NeurIPS, 2021)

Optimizing the Neural Architecture of Reinforcement Learning Agents. - Nina Mazyavkina; Samir Mohamed; Ilya Trofimov; Evgeny Burnaev (SAI (2), 2021)

Representation Topology Divergence: A Method for Comparing Neural Network Representations. - Serguei Barannikov; Ilya Trofimov; Nikita Balabin; Evgeny Burnaev (ICML, 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)

Learned Query Optimizers: Evaluation and Improvement. - Artem Mikhaylov; Nina Mazyavkina; Mikhail Salnikov; Ilya Trofimov; Fu Qiang; Evgeny Burnaev (IEEE Access, 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)

Developmental Noise and Biological System Condition: Prolegomena. - Vladimir Zakharov; Ilya Trofimov (Symmetry, 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, 2022)

Learning topology-preserving data representations. - Ilya Trofimov; Daniil Cherniavskii; Eduard Tulchinskii; Nikita Balabin; Evgeny Burnaev; Serguei Barannikov (ICLR, 2023)

Multi-Fidelity Neural Architecture Search With Knowledge Distillation. - Ilya Trofimov; Nikita Klyuchnikov; Mikhail Salnikov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2023)

Scalar Function Topology Divergence: Comparing Topology of 3D Objects. - Ilya Trofimov; Daria Voronkova; Eduard Tulchinskii; Evgeny Burnaev; Serguei Barannikov (ECCV (88), 2024)

Disentanglement Learning via Topology. - Nikita Balabin; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (ICML, 2024)

A Large-Scale Empirical Study of Aligned Time Series Forecasting. - Polina Pilyugina; Svetlana Medvedeva; Kirill Mosievich; Ilya Trofimov; Alina Kostromina; Dmitry Simakov; Evgeny Burnaev (IEEE Access, 2024)

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. - Egor Shvetsov; Dmitry Osin; Alexey Zaytsev 002; Ivan Koryakovskiy; Valentin Buchnev; Ilya Trofimov; Evgeny Burnaev (IEEE Access, 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)

Developmental noise, entropy, and biological system condition. - Vladimir Zakharov; Ilya Trofimov (Biosyst., 2024)

RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. - Eduard Tulchinskii; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (AISTATS, 2025)