Viktor Zaverkin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Experimental Designs

Message Passing

Top Venues

Mach. Learn. Sci. Technol.

J. Mach. Learn. Res.

Publications

Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. CoRR (2024)
Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR (2024)
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. CoRR (2023)
David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart
A Framework and Benchmark for Deep Batch Active Learning for Regression. J. Mach. Learn. Res. 24 (2023)
David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart
A Framework and Benchmark for Deep Batch Active Learning for Regression. CoRR (2022)
Viktor Zaverkin, Johannes Kästner
Exploration of transferable and uniformly accurate neural network interatomic potentials using optimal experimental design. Mach. Learn. Sci. Technol. 2 (3) (2021)