Ivan Nazarov

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 19

Top Topics

Matrix Completion

Demand Forecasting

Kernel Ridge Regression

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin
CoLES: Contrastive Learning for Event Sequences with Self-Supervision. SIGMOD Conference (2022)
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
Insights From the NeurIPS 2021 NetHack Challenge. CoRR (2022)
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 Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) (2021)
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough. CoRR (2021)
Ivan Nazarov, Evgeny Burnaev
Bayesian Sparsification Methods for Deep Complex-valued Networks. CoRR (2020)
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting. CoRR (2020)
Ivan Nazarov, Evgeny Burnaev
Bayesian Sparsification of Deep C-valued Networks. ICML (2020)
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
Demand forecasting techniques for build-to-order lean manufacturing supply chains. CoRR (2019)
Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev
Steganographic generative adversarial networks. ICMV (2019)
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. ISNN (1) (2019)
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. DSAA (2019)
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. ICMLA (2019)
Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov
Sparse Group Inductive Matrix Completion. CoRR (2018)
Denis Volkhonskiy, Ivan Nazarov, Boris Borisenko, Evgeny Burnaev
Steganographic Generative Adversarial Networks. CoRR (2017)
Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov
-NN Anomaly Detector for Univariate Data Streams. COPA (2017)
Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev
Conformal k-NN Anomaly Detector for Univariate Data Streams. CoRR (2017)
Evgeny Burnaev, Ivan Nazarov
Conformalized Kernel Ridge Regression. CoRR (2016)
Evgeny Burnaev, Ivan Nazarov
Conformalized Kernel Ridge Regression. ICMLA (2016)