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ORCIDDmitry Ivanov
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c26]Dmitry Ivanov, Omer Ben-Porat:
Personalized Reinforcement Learning with a Budget of Policies. AAAI 2024: 12735-12743- [c25]Aleksandr Misonizhnik, Sergey Morozov, Yurii Kostyukov, Vladislav Kalugin, Aleksei Babushkin, Dmitry Mordvinov, Dmitry Ivanov:
KLEEF: Symbolic Execution Engine (Competition Contribution). FASE 2024: 314-319 - [c24]Zakhar Iakovlev
, Alexey Chulkov, Nikita Golikov, Vyacheslav Lukianov, Nikita Zinoviev, Dmitry Ivanov, Vitaly Aksenov:
Trigram-Based Persistent IDE Indices with Quick Startup. IDE@ICSE 2024: 81-90 - [c23]Jared Ray Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce:
Linear Search for an Escaping Target with Unknown Speed. IWOCA 2024: 396-407 - [c22]Ekaterina Tochilina, Vyacheslav Tamarin, Dmitry Mordvinov, Valentyn Sobol, Sergey Pospelov, Alexey Menshutin, Yury Kamenev, Dmitry Ivanov:
UTBot Python at the SBFT Tool Competition 2024. SBFT@ICSE 2024: 41-42 - [i16]Dmitry Ivanov, Omer Ben-Porat:
Personalized Reinforcement Learning with a Budget of Policies. CoRR abs/2401.06514 (2024) - [i15]Zakhar Iakovlev, Alexey Chulkov, Nikita Golikov, Vyacheslav Lukianov, Nikita Zinoviev, Dmitry Ivanov, Vitaly Aksenov:
Trigram-Based Persistent IDE Indices with Quick Startup. CoRR abs/2403.03751 (2024) - [i14]Jared Ray Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce:
Linear Search for an Escaping Target with Unknown Speed. CoRR abs/2404.14300 (2024) - [i13]Gaurav Maheshwari, Dmitry Ivanov, Kevin El Haddad:
Efficacy of Synthetic Data as a Benchmark. CoRR abs/2409.11968 (2024) - [i12]Gaurav Maheshwari, Dmitry Ivanov, Théo Johannet, Kevin El Haddad:
ASR Benchmarking: Need for a More Representative Conversational Dataset. CoRR abs/2409.12042 (2024) - 2023
- [j1]Benjamin Rolf, Ilya Jackson, Marcel Müller, Sebastian Lang, Tobias Reggelin, Dmitry Ivanov:
A review on reinforcement learning algorithms and applications in supply chain management. Int. J. Prod. Res. 61(20): 7151-7179 (2023) - [c21]Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev:
Mediated Multi-Agent Reinforcement Learning. AAMAS 2023: 49-57 - [c20]Dmitry Ivanov, Mark Zaslavskiy:
Review of Drone Swarms Usage for 3D Reconstruction. FRUCT 2023: 101-108 - [c19]Dmitry Ivanov, Alexey Menshutin, Maxim Pelevin, Daniil Stepanov, Denis Fokin, Yury Kamenev, Egor Kulikov, Artemiy Kononov, Sergey Pospelov, Ivan Volkov, Alena Lisevych, Timur Yuldashev, Nikita Stroganov, Andrey Tarbeev:
UTBot at the SBFT 2023 Java Tool Competition. SBFT 2023: 68-69 - [c18]Dmitry Ivanov, Alexey Babushkin, Saveliy Grigoryev, Pavel Iatchenii, Vladislav Kalugin, Egor Kichin, Egor Kulikov, Aleksandr Misonizhnik, Dmitry Mordvinov, Sergey Morozov, Olga Naumenko, Alexey Pleshakov, Pavel Ponomarev, Svetlana Shmidt, Alexey Utkin, Vadim Volodin, Arseniy Volynets:
UnitTestBot: Automated Unit Test Generation for C Code in Integrated Development Environments. ICSE Companion 2023: 380-384 - [c17]Peter Lozov, Dmitry Kosarev, Dmitry Ivanov, Dmitry Boulytchev:
Relational Solver for Java Generics Type System. LOPSTR 2023: 118-128 - [c16]Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes:
Deep Contract Design via Discontinuous Networks. NeurIPS 2023 - [c15]Elizaveta Tarasova, Dmitry Ivanov:
Call Centre Optimization Based on Personalized Requests Distribution. OL2A (1) 2023: 135-147 - [i11]Vitaly Aksenov, Dmitry Ivanov, Ravil Galiev:
Benchmark Framework with Skewed Workloads. CoRR abs/2305.10872 (2023) - [i10]Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev:
Mediated Multi-Agent Reinforcement Learning. CoRR abs/2306.08419 (2023) - [i9]Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes:
Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. CoRR abs/2307.02318 (2023) - 2022
- [c14]Dmitry Ivanov:
From Supply Chain Resilience to Ecosystem Viability: Lessons from and Thinking Beyond the COVID-19 Pandemic. DATA 2022: 5 - [c13]Tobias Reggelin, Dmitry Ivanov, Sebastian Lang, Stefan Galka:
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. HICSS 2022: 1 - [c12]Kirill Krinkin, Valeriia Dopira, Mark Zaslavskiy, Maxim Subbotin, Nikita Iyerussalimov, Sergey Sorokumov, Yaroslav Gosudarkin, Sergey Glazunov, Dmitry Ivanov:
ProExamit: Development of Cross-Platform, Fully Automated and Expandable in Terms of Detectable Violations Proctoring. IDC 2022: 154-159 - [c11]Dmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva:
Optimal-er Auctions through Attention. NeurIPS 2022 - [c10]Dmitry Ivanov, Alexey Menshutin, Denis Fokin, Yury Kamenev, Sergey Pospelov, Egor Kulikov, Nikita Stroganov:
UTBot Java at the SBST2022 Tool Competition. SBST@ICSE 2022: 39-40 - [i8]Dmitry Ivanov, Mikhail Kiselev, Denis A. Larionov:
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations. CoRR abs/2201.02571 (2022) - [i7]Dmitry Ivanov, Iskander Safiulin, Ksenia Balabaeva, Igor Filippov:
Optimal-er Auctions through Attention. CoRR abs/2202.13110 (2022) - [i6]Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman:
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data. CoRR abs/2203.07206 (2022) - [i5]Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman:
Self-Imitation Learning from Demonstrations. CoRR abs/2203.10905 (2022) - [i4]Dmitry Ivanov, Aleksandr Chezhegov, Andrey Grunin, Mikhail Kiselev, Denis A. Larionov:
Neuromorphic Artificial Intelligence Systems. CoRR abs/2205.13037 (2022) - 2021
- [c9]Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman:
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. AAMAS 2021: 1536-1538 - [c8]Stefan Galka, Tobias Reggelin, Sebastian Lang, Dmitry Ivanov:
Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0. HICSS 2021: 1-2 - [c7]Anastasiia Ivanytska, Liudmyla Zubyk, Yaroslav Zubyk, Dmitry Ivanov:
The Advertising Prediction Model Based on Machine Learning Technologies. IT&I Workshops 2021: 35-44 - [c6]Dmitry Ivanov, Nikolay Bukharev, Alexey Menshutin, Arsen Nagdalian, Gleb Stromov, Artem Ustinov:
UtBot at the SBST2021 Tool Competition. SBST@ICSE 2021: 34-35 - [i3]Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman:
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. CoRR abs/2102.12307 (2021) - [i2]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR abs/2103.16511 (2021) - 2020
- [c5]Dmitry Ivanov:
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning. ICMLA 2020: 782-790 - [c4]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) 2020: 275-301
2010 – 2019
- 2019
- [c3]Dmitry Ivanov, Alexander S. Nesterov:
Identifying Bid Leakage in Procurement Auctions: Machine Learning Approach. EC 2019: 69-70 - [c2]Dmitry Ivanov, Sibylle Schupp:
Static analysis for worst-case battery utilization. FormaliSE@ICSE 2019: 1-10 - [i1]Dmitry Ivanov:
DEDPUL: Method for Mixture Proportion Estimation and Positive-Unlabeled Classification based on Density Estimation. CoRR abs/1902.06965 (2019) - 2018
- [c1]Dmitry Ivanov, Kim G. Larsen, Sibylle Schupp, Jirí Srba:
Analytical Solution for Long Battery Lifetime Prediction in Nonadaptive Systems. QEST 2018: 173-189
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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