Ilya Makarov - RankMe

187 papers A* 23A 5C 1Misc 25Journal 75Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Training and Contrastive Loss: Addressing Biases in Non-Topical Classification and Text Regression Tasks. IEEE Access Mikhail Lepekhin, Serge Sharoff, Ilya Makarov
2026	J	`jnl`	B3Emo: Quantifying Affect as a Double-Edged Sword in Strategic LLM Interactions. IEEE Access Aleksei Stepin, Mikhail Mozikov, Artyom Kabanov, Vladimir Kubasov, Rustam Akimov, Ivan Nasonov, Nikita Glazkov, Roman Sultimov, Ivan Makovetskiy, Nikita Severin, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2026	J	`jnl`	Benchmarking IoT Time-Series AD with Event-Level Augmentations. CoRR Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko, Fedor Meshchaninov, Anton Kozhukhov, Vladislav Travnikov, Makar Ippolitov, Kirill Yashunin, Iurii Katser
2026	A*	`conf`	Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models. WWW Harry Proshian, Nikita Severin, Sergey I. Nikolenko, Ivan Kireev, Andrey V. Savchenko, Ivan Sergeev, Maria Postnova, Ilya Makarov
2026	J	`jnl`	Bridging Global Climate Solutions and Local Realities: Evaluating Neural Networks for High-Resolution Downscaling. IEEE Access Daria Taniushkina, Aleksander Lukashevich, Valeriy Shevchenko, Daniil Sukhorukov, Yulia Melkozerova, Vladislav Pedashenko, Vsevolod Morozov, Roman Sultimov, Ilya Makarov, Aleksandr Volkov, Yury Maximov
2026	A*	`conf`	Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense. AAAI Kirill Lukianov, Mikhail Drobyshevskiy, Georgii V. Sazonov, Mikhail Soloviov, Ilya Makarov
2026	J	`jnl`	From Images to Decisions: Assistive Computer Vision for Non-Metallic Content Estimation in Scrap Metal. CoRR Daniil Storonkin, Ilia Dziub, Maksim Golyadkin, Ilya Makarov
2026	—	`conf`	Human-in-the-Loop Egyptology: A System for Ancient Egyptian Text Study. CHI Extended Abstracts Innokentiy Humonen, Maksim Golyadkin, Valeria Rubanova, Ekaterina Alexandrova, Alexandre A. Loktionov, Ilya Makarov
2026	—	`conf`	Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation. ECIR (2) Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov, Anton Klenitskiy, Artem Fatkulin, Alexey Vasilev, Andrey V. Savchenko, Ilya Makarov
2026	J	`jnl`	QuantFit-VTON: Measurement-Conditioned Diffusion Model for Predictable Garment Fit. IEEE Access Mikhail Nikolaev, Lisov Roman, Ilya Makarov
2026	A*	`conf`	RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract). AAAI Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Aleksandr Volkov, Ilya Makarov, Andrei Osiptsov, Yury Maximov
2026	A*	`conf`	RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents. AAAI Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov, Andrei Osiptsov, Aleksandr Volkov, Yury Maximov
2026	J	`jnl`	SuS: Strategy-aware Surprise for Intrinsic Exploration. CoRR Mark Kashirskiy, Ilya Makarov
2025	J	`jnl`	A Modular LLM-Agent System for Transparent Multi-Parameter Weather Interpretation. CoRR Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky, Roman Sultimov, Yuri Maksimov, Ilya Makarov
2025	—	`conf`	ATGen: A Framework for Active Text Generation. ACL (3) Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev, Uliana Vinogradova, Nikita Severin, Mikhail Mozikov, Andrey V. Savchenko, Ilya Makarov, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov
2025	J	`jnl`	ATGen: A Framework for Active Text Generation. CoRR Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev, Uliana Vinogradova, Nikita Severin, Mikhail Mozikov, Andrey V. Savchenko, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov, Ilya Makarov
2025	J	`jnl`	Advancing Sequential Manga Colorization for AR Through Data Synthesis. IEEE Access Maksim Golyadkin, Sergey Saraev, Ilya Makarov
2025	J	`jnl`	Aligning Text-to-Image Diffusion Models With Noise-Conditioned Perception. IEEE Access Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya Makarov
2025	J	`jnl`	AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3. CoRR Mark Kashirskiy, Artiom Lipinski, Ilya Makarov
2025	—	`conf`	Automatic Image Translation of Long Ancient Egyptian Texts for Augmented Reality Applications. ISMAR-Adjunct Innokentiy Humonen, Maksim Golyadkin, Danil Kalin, Ilya Makarov
2025	—	`conf`	Automatic Interpretation of Ancient Egyptian Texts for Education and Research. SIGGRAPH Posters Maksim Golyadkin, Innokentiy Humonen, Yanis Plevokas, Ekaterina Bureeva, Ekaterina Alexandrova, Ilya Makarov
2025	J	`jnl`	Binary Cumulative Encoding meets Time Series Forecasting. CoRR Andrei Chernov, Vitaliy Pozdnyakov, Ilya Makarov
2025	J	`jnl`	BinaryCAN: Learning Compact Binary Embeddings From Automotive CAN Bus Data. IEEE Access Aleksandr Kovalenko, Ahmad Ahmad, Alexander Karandeev, Alexey Maslov, Ilya Makarov
2025	J	`jnl`	Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network. IEEE Open J. Comput. Soc. Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov
2025	J	`jnl`	Building Machine Learning Challenges for Anomaly Detection in Science. CoRR Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, Janghyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem
2025	A	`conf`	Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset. WACV Maksim Golyadkin, Ianis Plevokas, Ilya Makarov
2025	J	`jnl`	EEG-Driven Image Reconstruction with Saliency-Guided Diffusion Models. CoRR Igor Abramov, Ilya Makarov
2025	J	`jnl`	Enhancing Emotion Recognition in Speech Based on Self-Supervised Learning: Cross-Attention Fusion of Acoustic and Semantic Features. IEEE Access Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov
2025	A*	`conf`	Evaluation of Egyptian Hieroglyph Classification Across Diverse Writing Styles. ACM Multimedia Maksim Golyadkin, Valeria Rubanova, Aleksandr Utkov, Dmitry Nikolotov, Ilya Makarov
2025	J	`jnl`	Explainable Document Classification via Concept Whitening and Stable Graph Patterns. IEEE Access Eric George Parakal, Sergei O. Kuznetsov, Ilya Makarov, Nikita Severin
2025	A*	`conf`	FaceCluster: Interactive Photo Organization with Enhanced Face Recognition. ACM Multimedia Alexander Filonenko, Ilya Makarov, Andrey V. Savchenko
2025	J	`jnl`	Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense. CoRR Kirill S. Lukyanov, Mikhail Drobyshevskiy, Georgii V. Sazonov, Mikhail Soloviov, Ilya Makarov
2025	J	`jnl`	From Data to Signs: A Foundation Model for Multilingual Sign Language Recognition. IEEE Access Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey V. Savchenko, Ilya Makarov
2025	A*	`conf`	HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human-AI Strategic Decision-Making. ACM Multimedia Mikhail Mozikov, Daniil Orekhov, Ivan Nasonov, Konstantin Baltsat, Vladislav Pedashenko, Dmitrii Abramov, Nikita Severin, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2025	J	`jnl`	Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting. CoRR Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky, Roman Sultimov, Yuri Maksimov, Ilya Makarov
2025	J	`jnl`	LCRM: A Linear-Camera Dataset for Road Marking Segmentation and Damage Evaluation. IEEE Access Ilya Makarov, Nikita Sidelnikov, Daniil Storonkin, Eugene Kapustin, Alexander Karandeev, Alexey Maslov, Maksim Golyadkin
2025	A*	`conf`	Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy. IJCAI Vladimir Manuilov, Antonio Francés-Monerris, Abdelazim M. A. Abdelgawwad, Daniel Escudero, Ilya Makarov
2025	A*	`conf`	MuMMy: Multimodal Dataset supporting VLM-based Egyptology Research Assistant. ACM Multimedia Maksim Golyadkin, Innokentiy Humonen, Valeria Rubanova, Danil Kalin, Ianis Plevokas, Dmitry Nikolotov, Aleksandr Utkov, Nikita Sidelnikov, Petr Ivanov, Ekaterina Bureeva, Ekaterina Alexandrova, Ilya Makarov
2025	—	`conf`	Multi-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition. MiGA@IJCAI Arman Martirosyan, Shahane Tigranyan, Maria Razzhivina, Artak Aslanyan, Nazgul Salikhova, Ilya Makarov, Andrey V. Savchenko, Aram Avetisyan
2025	J	`jnl`	Multi-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition. CoRR Arman Martirosyan, Shahane Tigranyan, Maria Razzhivina, Artak Aslanyan, Nazgul Salikhova, Ilya Makarov, Andrey V. Savchenko, Aram Avetisyan
2025	J	`jnl`	One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models. CoRR Aleksandr Razin, Danil Kazantsev, Ilya Makarov
2025	J	`jnl`	Optimizing State Monitoring With Domain Degradation Knowledge. IEEE Access Dmitry Zhevnenko, Ilya Makarov
2025	Misc	`conf`	Poster Abstract: Autonomous AI-Driven Grid Protection: Sub-Cycle Fault Response via NPU-Optimized Neural Networks. SenSys Aleksandr Kovalenko, Aleksey Evdakov, Galina Filatova, Andrey Yablokov, Aleksandr Bulashov, Ilya Makarov
2025	Misc	`conf`	Poster Abstract: Exploring the Autoencoder Sequence Pooling. SenSys Petr Ivanov, Alexander Kozhevnikov, Maria Shtark, Ilya Makarov
2025	Misc	`conf`	Poster Abstract: Minimizing Labeling Efforts for Fault Detection and Diagnosis. SenSys Maria Shtark, Alexander Kozhevnikov, Petr Ivanov, Ilya Makarov
2025	A*	`conf`	Poster: Car2Vec: Task-Agnostic Latent Embeddings from CAN Bus for Efficient V2X Communication. MobiCom Aleksandr Kovalenko, Ahmad Ahmad, Alexander Karandeev, Alexey Maslov, Dmitry Zhevnenko, Ilya Makarov
2025	A*	`conf`	Real-Time SSL Sperm Whale Click Detector: Interactive Web Demo. ACM Multimedia Anvar Iskhakov, Viktor Kovalev, Vladislav Naumov, Ilya Makarov
2025	J	`jnl`	Robustness questions the interpretability of graph neural networks: what to do? CoRR Kirill S. Lukyanov, Georgii V. Sazonov, Serafim Boyarsky, Ilya Makarov
2025	—	`conf`	SODAOpt: Socio-Demographic and Textual Adaptive Fusion for Optimizing Developer Task Assignment. SIGSOFT FSE Companion Karina Romanova, Sergey Senichev, Lina Veltman, Ivan Nasonov, Andrey Kuznetsov, Ilya Makarov
2025	A*	`conf`	Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Search. IJCAI Nagim Isyanbaev, Ilya Makarov
2025	J	`jnl`	SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis. IEEE Access Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov
2025	J	`jnl`	WISP: Workframe for Interferogram Signal Phase-Unwrapping. IEEE Access Timofey F. Khirianov, Alexandra Khirianova, Egor V. Parkevich, Ilya Makarov
2024	Misc	`conf`	A Survey on Sim-to-Real Transfer Methods for Robotic Manipulation. SISY Andrei Pitkevich, Ilya Makarov
2024	A*	`conf`	AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes. IJCAI Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov
2024	J	`jnl`	Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark. CoRR Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov
2024	J	`jnl`	Aligning Diffusion Models with Noise-Conditioned Perception. CoRR Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya Makarov
2024	Misc	`ed.`	Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers AIST Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko
2024	—	`conf`	Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality. ISMAR-Adjunct Maksim Golyadkin, Sergey Saraev, Ilya Makarov
2024	J	`jnl`	Bid Landscape Forecasting and Cold Start Problem With Transformers. IEEE Access Daria Yakovleva, Sergei Telnov, Ilya Makarov, Andrey Filchenkov
2024	A	`conf`	CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. ECAI Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov
2024	A	`conf`	Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. ECAI Andrey V. Savchenko, Dmitry Maslov, Ilya Makarov
2024	A*	`conf`	Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection. IJCAI Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov
2024	A*	`conf`	EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas. NeurIPS Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Ivan Nasonov, Daniil Orekhov, Pekhotin Vladislav, Ivan Makovetskiy, Mikhail Baklashkin, Vasily Lavrentyev, Akim Tsvigun, Denis Turdakov, Tatiana Shavrina, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems. IEEE Access Abdurakhmon Sharifbaev, Mikhail Mozikov, Hakimjon Zaynidinov, Ilya Makarov
2024	J	`jnl`	Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning. IEEE Access Matvey Gerasyov, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update. CoRR Daria Pugacheva, Andrei Ermakov, Igor Lyskov, Ilya Makarov, Yuriy Zotov
2024	—	`conf`	From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. SIGSPATIAL/GIS Danil Kononykhin, Mikhail Mozikov, Kirill Mishtal, Pavel Kuznetsov, Dmitrii Abramov, Nazar Sotiriadi, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	From Esperanto to Volapük: Interpretable Graph Features for Assessing Linguistic Complexity in Constructed Languages. IEEE Access Irina Sokolova, Ilya Makarov
2024	J	`jnl`	GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment. Expert Syst. Appl. Yuanchao Liu, Jiawei Han, Alexander G. Sboev, Ilya Makarov
2024	—	`conf`	Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. ICDM (Workshops) Ildar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. IEEE Access Aleksandr Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
2024	J	`jnl`	Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics. IEEE Access Dmitrii Fomin, Ilya Makarov, Mariia Voronina, Anna Strimovskaya, Vitaliy Pozdnyakov
2024	J	`jnl`	Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. IEEE Access Ilia Semenkov, Aleksei Karpov, Andrey V. Savchenko, Ilya Makarov
2024	A	`conf`	InsideOut: Unifying Emotional LLMs to Foster Empathy. ECAI Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov
2024	—	`conf`	LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. ICDM (Workshops) Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. CoRR Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov
2024	A*	`conf`	Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. IJCAI Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov, Ilya Makarov
2024	—	`conf`	Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception. ISMAR-Adjunct Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov
2024	—	`ed.`	Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers AIST (Supplement) Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko
2024	J	`jnl`	Refining the ONCE Benchmark With Hyperparameter Tuning. IEEE Access Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov
2024	A*	`conf`	SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). IJCAI Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2024	J	`jnl`	The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. CoRR Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov
2024	—	`conf`	Time Series Generation with GANs for Momentum Effect Simulation on Moscow Stock Exchange. CIFEr Maksim Kazadaev, Vitaliy Pozdnyakov, Ilya Makarov
2024	J	`jnl`	Utterance-Aware Adaptive Data Labeling and Summarization: Exploiting Large Language Models for Unbiased Dialog Annotation. IEEE Access Nikita Glazkov, Ilya Makarov
2024	—	`conf`	VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control. ICDM (Workshops) Matvey Gerasyov, Dmitrii Kiselev, Maxim Beketov, Ilya Makarov
2024	—	`conf`	Video-based learning of sign languages: one pre-train to fit them all. ICDM (Workshops) Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey V. Savchenko, Ilya Makarov
2024	A*	`conf`	Weak-to-Strong 3D Object Detection with X-Ray Distillation. CVPR Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov
2024	J	`jnl`	Weak-to-Strong 3D Object Detection with X-Ray Distillation. CoRR Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov
2023	J	`jnl`	A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task. CoRR Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov
2023	—	`conf`	A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task. ISMIR Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov
2023	—	`conf`	Application of Multimodal Machine Learning for Image Recommendation Systems. AIST (Supplement) Mikhail Foniakov, Anatoly Bardukov, Ilya Makarov
2023	—	`conf`	Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning. IWANN (2) Evgeniia Ondar, Ilya Makarov
2023	J	`jnl`	Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom. IEEE Access Olga Gerasimova, Nikita Severin, Ilya Makarov
2023	J	`jnl`	Dealing With Sparse Rewards Using Graph Neural Networks. IEEE Access Matvey Gerasyov, Ilya Makarov
2023	—	`conf`	Efficient Blind Image Super-Resolution. IWANN (2) Olga Vais, Ilya Makarov
2023	—	`conf`	Efficient Transformer for Video Summarization. IWANN (2) Tatiana Kolmakova, Ilya Makarov
2023	J	`jnl`	Fast Approximate Convex Hull Construction in Networks via Node Embedding. IEEE Access Dmitrii Gavrilev, Ilya Makarov
2023	J	`jnl`	Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov
2023	Misc	`conf`	Financial Trading via Reinforcement Learning and Convolutional Neural Networks. SISY Ka Yeung Lam, Ilya Makarov
2023	—	`conf`	Gesture Recognition on Video Data. AIST (Supplement) Georgy Gunkin, Ilya Makarov
2023	J	`jnl`	Interaction models for remaining useful life estimation. CoRR Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
2023	J	`jnl`	Interaction models for remaining useful lifetime estimation. J. Ind. Inf. Integr. Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
2023	—	`conf`	Iterative Graph Embedding and Clustering. IWANN (1) Artem Oborevich, Ilya Makarov
2023	—	`conf`	LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment. IWANN (2) Aleksei Pokoev, Ilya Makarov
2023	—	`conf`	Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov
2023	A*	`conf`	MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation. ISMAR Ilia Indyk, Ilya Makarov
2023	J	`jnl`	Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning. IEEE Access Xinze Li, Ilya Makarov, Dmitrii Kiselev
2023	J	`jnl`	Refining the ONCE Benchmark with Hyperparameter Tuning. CoRR Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov
2023	J	`jnl`	Robust Manga Page Colorization via Coloring Latent Space. IEEE Access Maksim Golyadkin, Ilya Makarov
2023	J	`jnl`	Scalable Zero-Shot Logo Recognition. IEEE Access Mikhail Shulgin, Ilya Makarov
2023	—	`conf`	Semantic-Aware GAN Manipulations for Human Face Editing. AIST (Supplement) Khlusov Pavel, Ilya Makarov
2023	J	`jnl`	SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2023	—	`conf`	SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. ISMAR-Adjunct Albert Luginov, Ilya Makarov
2023	A	`conf`	Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov
2023	—	`conf`	Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning. AIST (Supplement) Vladlen Kulikov, Radoslav Neychev, Ilya Makarov
2022	Misc	`conf`	Attention-based Models in Self-supervised Monocular Depth Estimation. SISY Kirill Svidovskii, Ilia Semenkov, Ilya Makarov
2022	J	`jnl`	Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network. IEEE Trans. Affect. Comput. Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov
2022	Misc	`conf`	Curiosity-driven Exploration in VizDoom. SISY Evgeniya Mikhaylova, Ilya Makarov
2022	J	`jnl`	Dealing with Sparse Rewards Using Graph Neural Networks. CoRR Matvey Gerasyov, Ilya Makarov
2022	J	`jnl`	Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access Dmitrii Kiselev, Ilya Makarov
2022	A*	`conf`	Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. ISMAR Aleksei Karpov, Ilya Makarov
2022	J	`jnl`	Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. CoRR Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
2022	J	`jnl`	Long-term hail risk assessment with deep neural networks. CoRR Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov
2022	Misc	`conf`	Multi-Modal Deep Reinforcement Learning in ViZDoom with Audio Component. SISY Artem Sayapin, Ilya Makarov
2022	Misc	`conf`	Multi-modal RGBD Attention Fusion for Dense Depth Estimation. SISY Kirill Zhingalov, Aleksei Karpov, Ilya Makarov
2022	J	`jnl`	Self-supervised recurrent depth estimation with attention mechanisms. PeerJ Comput. Sci. Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova
2022	J	`jnl`	SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. CoRR Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2022	J	`jnl`	Temporal network embedding framework with causal anonymous walks representations. PeerJ Comput. Sci. Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev
2021	—	`conf`	Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks. AIST (Supplement) Leonid Sherstyuk, Ilya Makarov
2021	—	`conf`	Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents. IWANN (1) Maria Bakhanova, Ilya Makarov
2021	Misc	`conf`	Depression Detection by Person's Voice. AIST Evgeniya Zavorina, Ilya Makarov
2021	—	`conf`	Depth Inpainting via Vision Transformer. ISMAR Adjunct Ilya Makarov, Gleb Borisenko
2021	J	`jnl`	Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow. CoRR Boris Tseytlin, Ilya Makarov
2021	—	`conf`	Fast Depth Reconstruction Using Deep Convolutional Neural Networks. IWANN (1) Dmitrii Maslov, Ilya Makarov
2021	J	`jnl`	Fault detection in Tennessee Eastman process with temporal deep learning models. J. Ind. Inf. Integr. Ildar Lomov, Mark Lyubimov, Ilya Makarov, Leonid E. Zhukov
2021	J	`jnl`	Fusion of text and graph information for machine learning problems on networks. PeerJ Comput. Sci. Ilya Makarov, Mikhail Makarov, Dmitrii Kiselev
2021	J	`jnl`	Hotel Recognition via Latent Image Embedding. CoRR Boris Tseytlin, Ilya Makarov
2021	—	`conf`	Hotel Recognition via Latent Image Embeddings. IWANN (2) Boris Tseytlin, Ilya Makarov
2021	—	`conf`	Instagram Hashtag Prediction Using Deep Neural Networks. IWANN (2) Anna Beketova, Ilya Makarov
2021	J	`jnl`	JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access Ilya Makarov, Ksenia Korovina, Dmitrii Kiselev
2021	Misc	`conf`	Outfit Recommendation using Graph Neural Networks via Visual Similarity. AIST Diana Zagidullina, Ilya Makarov
2021	—	`ed.`	Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings AIST (Supplement) Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
2021	Misc	`conf`	Research Papers Recommendation. AIST Olga Gerasimova, Anna Lapidus, Ilya Makarov
2021	J	`jnl`	Survey on graph embeddings and their applications to machine learning problems on graphs. PeerJ Comput. Sci. Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, Lovro Subelj
2021	J	`jnl`	Temporal Graph Network Embedding with Causal Anonymous Walks Representations. CoRR Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev
2021	—	`conf`	Transformer-Based Deep Reinforcement Learning in VizDoom. AIST (Supplement) Vitalii Sopov, Ilya Makarov
2020	Misc	`conf`	Automated Image and Video Quality Assessment for Computational Video Editing. AIST Konstantin Lomotin, Ilya Makarov
2020	Misc	`conf`	Community Detection Based on the Nodes Role in a Network: The Telegram Platform Case. AIST Kseniia Tikhomirova, Ilya Makarov
2020	—	`conf`	Federated Learning in Named Entity Recognition. AIST (Supplement) Efim Luboshnikov, Ilya Makarov
2020	Misc	`conf`	Human Action Recognition for Boxing Training Simulator. AIST Anton Broilovskiy, Ilya Makarov
2020	J	`jnl`	Online supervised attention-based recurrent depth estimation from monocular video. PeerJ Comput. Sci. Dmitrii Maslov, Ilya Makarov
2020	—	`conf`	Prediction of News Popularity via Keywords Extraction and Trends Tracking. AIST (Supplement) Alexander Pugachev, Anton Voronov, Ilya Makarov
2020	—	`conf`	Real-Time 3D Model Reconstruction and Mapping for Fashion. TSP Ilya Makarov, Daniil Chernyshev
2020	Misc	`conf`	Semi-automatic Manga Colorization Using Conditional Adversarial Networks. AIST Maksim Golyadkin, Ilya Makarov
2019	Misc	`conf`	American and Russian Sign Language Dactyl Recognition and Text2Sign Translation. AIST Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
2019	—	`conf`	American and russian sign language dactyl recognition. PETRA Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
2019	Misc	`conf`	Deep Reinforcement Learning Methods in Match-3 Game. AIST Ildar Kamaldinov, Ilya Makarov
2019	C	`conf`	Deep Reinforcement Learning in Match-3 Game. CoG Ildar Kamaldinov, Ilya Makarov
2019	J	`jnl`	Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. PeerJ Comput. Sci. Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
2019	—	`conf`	Link Prediction Regression for Weighted Co-authorship Networks. IWANN (2) Ilya Makarov, Olga Gerasimova
2019	A*	`conf`	On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss. ACM Multimedia Ilya Makarov, Dmitrii Maslov, Olga Gerasimova, Vladimir Aliev, Alisa Korinevskaya, Ujjwal Sharma, Haoliang Wang
2019	—	`conf`	Predicting Collaborations in Co-authorship Network. SMAP Ilya Makarov, Olga Gerasimova
2019	—	`conf`	Prediction of New Itinerary Markets for Airlines via Network Embedding. AIST (Supplement) Dmitrii Kiselev, Ilya Makarov
2019	—	`conf`	Russian Sign Language Dactyl Recognition. TSP Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
2018	—	`conf`	A novel autonomous taxi model for smart cities. WF-IoT Naveen Singh Rajput, Mukesh, Ashutosh Mishra, A. Sisodia, Ilya Makarov
2018	Misc	`conf`	Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. AIST Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
2018	—	`conf`	Fast Depth Map Super-Resolution Using Deep Neural Network. ISMAR Adjunct Alisa Korinevskaya, Ilya Makarov
2018	—	`conf`	Fast Semi-dense Depth Map Estimation. RETech@ICMR Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
2018	—	`conf`	Improving Picture Quality with Photo-Realistic Style Transfer. ICIAR Ilya Makarov, Diana Polonskaya, Anastasia Feygina
2018	Misc	`conf`	Joint Node-Edge Network Embedding for Link Prediction. AIST Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Ksenia Korovina, Leonid E. Zhukov
2018	—	`conf`	Realistic post-processing of rendered 3D scenes. SIGGRAPH Posters Anastasia Feygina, Dmitry I. Ignatov, Ilya Makarov
2018	—	`conf`	Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics. JCDL Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
2018	—	`conf`	Sparse Depth Map Interpolation using Deep Convolutional Neural Networks. TSP Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
2018	—	`conf`	Super-resolution of interpolated downsampled semi-dense depth map. Web3D Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
2018	—	`conf`	Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component. AIST (Supplement) Ilya Makarov, Pavel Polyakov, Roman Karpichev
2017	Misc	`conf`	Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets. FLAIRS Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu
2017	—	`conf`	Depth Map Interpolation Using Perceptual Loss. ISMAR Adjunct Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov
2017	—	`conf`	Learning to Play Pong Video Game via Deep Reinforcement Learning. AIST (Supplement) Ilya Makarov, Andrej Kashin, Alisa Korinevskaya
2017	Misc	`conf`	Logic of Existentialism in Fiction. FLAIRS Ilya Makarov, Valeria Bodishtianu
2017	Misc	`conf`	Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games. AIST Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
2017	Misc	`conf`	Scientific Matchmaker: Collaborator Recommender System. AIST Ilya Makarov, Oleg Bulanov, Olga Gerasimova, Natalia Meshcheryakova, Ilia Karpov, Leonid E. Zhukov
2017	A*	`conf`	Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks. ACM Multimedia Ilya Makarov, Vladimir Aliev, Olga Gerasimova
2016	A*	`conf`	First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System. ACM Multimedia Ilya Makarov, Mikhail Tokmakov, Pavel Polyakov, Peter Zyuzin, Maxim Martynov, Oleg Konoplya, George Kuznetsov, Ivan Guschenko-Cheverda, Maxim Uriev, Ivan Mokeev, Olga Gerasimova, Lada Tokmakova, Alexey Kosmachev
2016	—	`conf`	Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game. EEML@CLA Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev
2016	—	`conf`	Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves. AIST (Supplement) Ilya Makarov, Pavel Polyakov
2015	J	`jnl`	Existence of Finite Total Equivalence Systems for Certain Closed Classes of 3-Valued Logic Functions. Logica Universalis Ilya Makarov
2015	—	`conf`	Imitation of Human Behavior in 3D-Shooter game. AIST (Supplement) Ilya Makarov, Mikhail Tokmakov, Lada Tokmakova