Sergii Kashubin
Google (Switzerland)(CH)
Publications by Year
Research Areas
Protein Structure and Dynamics, Machine Learning in Materials Science, Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications
Most-Cited Works
- → Building-Level Comparison of Microsoft and Google Open Building Footprints Datasets (Short Paper)(2021)218 cited
- → Measuring Compositional Generalization: A Comprehensive Method on\n Realistic Data(2019)141 cited
- → Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments(2024)97 cited
- → The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations(2025)22 cited
- → Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations(2022)17 cited
- → Variance Reduction in Deep Learning: More Momentum is All You Need(2021)
- Розпізнавання мімічних мікровиразів обличчя людини(2015)