OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference. - Yury Gorbachev; Mikhail Fedorov; Iliya Slavutin; Artyom Tugarev; Marat Fatekhov; Yaroslav Tarkan (ICCV Workshops, 2019)

OpenVINO Deep Learning Workbench: A Platform for Model Optimization, Analysis and Deployment. - Alexander Demidovskij; Artyom Tugaryov; Alexander Suvorov; Yaroslav Tarkan; Marat Fatekhov; Igor Salnikov; Andrey Kashchikhin; Vladimir Golubenko; Galina Dedyukhina; Alina Alborova; Ryan Palmer; Mikhail Fedorov; et al. (ICTAI, 2020)

Neural Network Compression Framework for Fast Model Inference. - Alexander Kozlov; Ivan Lazarevich; Vasily Shamporov; Nikolay Lyalyushkin; Yury Gorbachev (SAI (3), 2021)

Leveraging Speculative Sampling and KV-Cache Optimizations Together for Generative AI using OpenVINO. - Haim Barad; Ekaterina Aidova; Yury Gorbachev (CoRR, 2023)