Ivan Nazarov

According to our database, Ivan Nazarov authored at least 14 papers between 2016 and 2022.

Collaborative distances:

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

2022

Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.

Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov

IEEE J. Sel. Top. Signal Process., 2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.

Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Bayesian Sparsification Methods for Deep Complex-valued Networks.

Ivan Nazarov, Evgeny Burnaev

CoRR, 2020

Bayesian Sparsification of Deep C-valued Networks.

Ivan Nazarov, Evgeny Burnaev

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.

Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Steganographic generative adversarial networks.

Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Machine Vision, 2019

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components.

Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.

Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Sparse Group Inductive Matrix Completion.

Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov

CoRR, 2018

2017

Steganographic Generative Adversarial Networks.

Denis Volkhonskiy, Ivan Nazarov, Boris Borisenko, Evgeny Burnaev

CoRR, 2017

Conformal k-NN Anomaly Detector for Univariate Data Streams.

Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev

CoRR, 2017

Conformal <i>k</i>-NN Anomaly Detector for Univariate Data Streams.

Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

2016

Conformalized Kernel Ridge Regression.

Evgeny Burnaev, Ivan Nazarov

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016