Publications (19)
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh, Tiankang Xie, Mikhail Kuznetsov
Machine learning (ML) models trained using Empirical Risk Minimization (ERM) often exhibit systematic errors on specific subpopulations of tabular data, known as error slices. Lear…
Resolving isotope splitting of boron-related intracenter transitions in diamond by infrared absorption spectroscopy
Dmitrii Prikhodko, Sergey Pavlov, Sergey Tarelkin +7
Isotopic enrichment offers cutting-edge properties of materials opening exciting research and development opportunities. In semiconductors, reached progress of ultimate control in…
UHECR arrival directions in the latest data from the original Auger and TA surface detectors and nearby galaxies
Armando di Matteo, Luis Anchordoqui, Teresa Bister +13
The distribution of ultra-high-energy cosmic-ray arrival directions appears to be nearly isotropic except for a dipole moment of order per cent. None…
Constraining superheavy decaying dark matter with directional ultra-high energy gamma-ray limits
Oleg Kalashev, Mikhail Kuznetsov, Yana Zhezher
Dwarf spheroidal galaxies are compact stellar objects with small or negligible astrophysical backgrounds, widely considered as promising targets to search for a signal from the dar…
Visual Implicit Geometry Transformer for Autonomous Driving
Arsenii Shirokov, Mikhail Kuznetsov, Danila Stepochkin +5
We introduce the Visual Implicit Geometry Transformer (ViGT), an autonomous driving geometric model that estimates continuous 3D occupancy fields from surround-view camera rigs. Vi…
The UHECR dipole and quadrupole in the latest data from the original Auger and TA surface detectors
Peter Tinyakov, Luis Anchordoqui, Teresa Bister +13
The sources of ultra-high-energy cosmic rays are still unknown, but assuming standard physics, they are expected to lie within a few hundred megaparsecs from us. Indeed, over cosmo…