Maksim Makarenko

According to our database, Maksim Makarenko authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences.

Artem Sakhno, Ivan Sergeev, Alexey Shestov, Omar Zoloev, Elizaveta Kovtun, Gleb Gusev, Andrey V. Savchenko, Maksim Makarenko

CoRR, March, 2026

Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning.

Artem Sakhno, Daniil Tomilov, Yuliana Shakhvalieva, Inessa Fedorova, Daria Ruzanova, Omar Zoloev, Andrey V. Savchenko, Maksim Makarenko

CoRR, March, 2026

Topological Metric for Unsupervised Embedding Quality Evaluation.

Aleksei Shestov, Anton Klenitskiy, Daria Denisova, Amurkhan Dzagkoev, Daniil Petrovich, Andrey V. Savchenko, Maksim Makarenko

Proceedings of the Advances in Information Retrieval, 2026

2025

PINE: Pipeline for Important Node Exploration in Attributed Networks.

Elizaveta Kovtun, Maksim Makarenko, Natalia Semenova, Alexey Zaytsev, Semen A. Budennyy

CoRR, December, 2025

MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design.

S. Rodionov, Arturo Burguete-Lopez, Maksim Makarenko, Qizhou Wang, Fedor Getman, Andrea Fratalocchi

CoRR, November, 2025

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients.

Egor Fadeev, Dzhambulat Mollaev, Aleksei Shestov, Dima Korolev, Omar Zoloev, Ivan Kireev, Andrey V. Savchenko, Maksim Makarenko

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models.

Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2023

Adaptive Compression for Communication-Efficient Distributed Training.

Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik

Trans. Mach. Learn. Res., 2023

Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s.

Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez, Silvio Giancola, Bernard Ghanem, Luca Passone, Andrea Fratalocchi

CoRR, 2023

2022

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders.

Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network.

Qizhou Wang, Maksim Makarenko

CoRR, 2021

Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks.

Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez, Fedor Getman, Andrea Fratalocchi

Adv. Intell. Syst., 2021