Black-Box Optimization with Local Generative Surrogates. - Sergey Shirobokov; Vladislav Belavin; Michael Kagan; Andrey Ustyuzhanin; Atilim Gunes Baydin (NeurIPS, 2020)

Differentiating the Black-Box: Optimization with Local Generative Surrogates. - Sergey Shirobokov; Vladislav Belavin; Michael Kagan; Andrey Ustyuzhanin; Atilim Günes Baydin (CoRR, 2020)

SANgo: a storage infrastructure simulator with reinforcement learning support. - Kenenbek Arzymatov; Andrey A. Sapronov; Vladislav Belavin; Leonid Gremyachikh; Maksim Karpov; Andrey Ustyuzhanin; Ivan Tchoub; Artem Ikoev (PeerJ Comput. Sci., 2020)

Online detection of failures generated by storage simulator. - Kenenbek Arzymatov; Mikhail Hushchyn; Andrey A. Sapronov; Vladislav Belavin; Leonid Gremyachikh; Maksim Karpov; Andrey Ustyuzhanin (CoRR, 2021)

Segmentation of EM showers for neutrino experiments with deep graph neural networks. - Vladislav Belavin; Ekaterina Trofimova; Andrey Ustyuzhanin (CoRR, 2021)

Symbolic expression generation via Variational Auto-Encoder. - Sergei Popov; Mikhail Lazarev; Vladislav Belavin; Denis Derkach; Andrey Ustyuzhanin (CoRR, 2023)

Symbolic expression generation via variational auto-encoder. - Sergei Popov; Mikhail Lazarev; Vladislav Belavin; Denis Derkach; Andrey Ustyuzhanin (PeerJ Comput. Sci., 2023)