( en | de | ru )

 

Disambiguation of "Matchev, Konstantin T."

Author of the publication

copydeleteadd this publication to your clipboard
Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes.

, , , , , , , , , , , , , , , , , , , , , and . NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Stefan Matchev

T Peters

T Frieberg

T Masselink

T Neumann

 

Other publications of authors with the same name

Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles., , , , , and . CoRR, (2023)Oracle-Preserving Latent Flows., , , , and . CoRR, (2023)Precision sparticle spectroscopy in the inclusive same-sign dilepton channel at LHC, , , and . (2009)cite arxiv:0909.4300 Comment: 5 pages, 2 figures, uses revtex and axodraw.Quantum Vision Transformers for Quark-Gluon Classification., , , , , , , , , and 1 other author(s). CoRR, (2024)Using Subsystem MT2 for Complete Mass Determinations in Decay Chains with Missing Energy at Hadron Colliders, , , and . JHEP, (2009)Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2021)Precise reconstruction of sparticle masses without ambiguities, , , and . JHEP, (2009)A general method for determining the masses of semi- invisibly decaying particles at hadron colliders, and . (2009)Deep-Learned Event Variables for Collider Phenomenology., , , , and . CoRR, (2021)Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model., , , and . CoRR, (2023)