Pekhimenko, Gennady

7 publications

ICML 2025 TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si

ICLRW 2025 TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Yuhe Jiang, Xun Deng, Jiacheng Yang, Honghua Dong, Gennady Pekhimenko, Fan Long, Xujie Si

ICLR 2024 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar

CHIL 2022 How to Validate Machine Learning Models Prior to Deployment: Silent Trial Protocol for Evaluation of Real-Time Models at ICU Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa McCradden, Fanny Chevalier, Mjaye Mazwi, Anna Goldenberg

NeurIPS 2022 Tempo: Accelerating Transformer-Based Model Training Through Memory Footprint Reduction Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko

NeurIPS 2021 Distributed Deep Learning in Open Collaborations Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko

NeurIPS 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk, Gennady Pekhimenko