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)

SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network. - Qizhou Wang; Maksim Makarenko (CoRR, 2021)

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 (CVPR, 2022)

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)

Adaptive Compression for Communication-Efficient Distributed Training. - Maksim Makarenko; Elnur Gasanov; Abdurakhmon Sadiev; Rustem Islamov; Peter Richtárik (Trans. Mach. Learn. Res., 2023)

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 (CoRR, 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 (CoRR, 2025)