Sergii Kashubin

According to our database, Sergii Kashubin authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Data from: The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations.

Stefan Ganscha, Oliver T. Unke, Daniel Ahlin, Hartmut Maennel, Sergii Kashubin, Klaus-Robert Müller

Dataset, 2025

Data from: The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations.

Stefan Ganscha, Oliver T. Unke, Daniel Ahlin, Hartmut Maennel, Sergii Kashubin, Klaus-Robert Müller

Dataset, 2025

2022

Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations.

Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Alexandre Tkatchenko, Klaus-Robert Müller

CoRR, 2022

2021

Variance Reduction in Deep Learning: More Momentum is All You Need.

Lionel Tondji, Sergii Kashubin, Moustapha Cissé

CoRR, 2021

Continental-Scale Building Detection from High Resolution Satellite Imagery.

Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn

CoRR, 2021

2020

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data.

Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet

Proceedings of the 8th International Conference on Learning Representations, 2020