Viktor Zaverkin

According to our database, Viktor Zaverkin authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Physics-Informed Weakly Supervised Learning for Interatomic Potentials.

Makoto Takamoto, Viktor Zaverkin, Mathias Niepert

CoRR, 2024

Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing.

Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert

CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Framework and Benchmark for Deep Batch Active Learning for Regression.

David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart

J. Mach. Learn. Res., 2023

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching.

Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani

CoRR, 2023

2021

Exploration of transferable and uniformly accurate neural network interatomic potentials using optimal experimental design.

Viktor Zaverkin, Johannes Kästner

Mach. Learn. Sci. Technol., 2021