Konstantin L. Malanchev

18 papers A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Coniferest: A complete active anomaly detection framework.
Astron. Comput.
Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Anastasia D. Lavrukhina, Etienne Russeil, Timofey A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Maria V. Pruzhinskaya, Alina A. Volnova, Sreevarsha Sreejith
2025 J jnl
Exploring Multi-view Symbolic Regression methods in physical sciences.
CoRR
Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Guillaume Moinard, Maxime Cherrey
2025 J jnl
Real-bogus scores for active anomaly detection.
Astron. Comput.
Timofey A. Semenikhin, Matwey V. Kornilov, Maria V. Pruzhinskaya, Anastasia D. Lavrukhina, Etienne Russeil, Emmanuel Gangler, Emille E. O. Ishida, Vladimir S. Korolev, Konstantin L. Malanchev, Alina A. Volnova, Sreevarsha Sreejith
2025 J jnl
Signatures to help interpretability of anomalies.
CoRR
Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Vladimir S. Korolev, Anastasia D. Lavrukhina, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Etienne Russeil, Timofey A. Semenikhin, Sreevarsha Sreejith, Alina A. Volnova
2025 J jnl
What ZTF Saw Where Rubin Looked: Anomaly Hunting in DR23.
CoRR
Maria V. Pruzhinskaya, Anastasia D. Lavrukhina, Timofey A. Semenikhin, Alina A. Volnova, Sreevarsha Sreejith, Vadim V. Krushinsky, Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev
2024 J jnl
Coniferest: a complete active anomaly detection framework.
CoRR
Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Anastasia D. Lavrukhina, Etienne Russeil, Timofey A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Maria V. Pruzhinskaya, Alina A. Volnova, Sreevarsha Sreejith
2024 J jnl
Exploring the Universe with SNAD: Anomaly Detection in Astronomy.
CoRR
Alina A. Volnova, Patrick D. Aleo, Anastasia D. Lavrukhina, Etienne Russeil, Timofey A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Sreevarsha Sreejith
2024 J jnl
Multi-View Symbolic Regression.
CoRR
Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler
2024 A conf
Multiview Symbolic Regression.
GECCO
Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler
2022 J jnl
Supernova Light Curves Approximation based on Neural Network Models.
CoRR
Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2022 J jnl
Toward an understanding of the properties of neural network approaches for supernovae light curve approximation.
CoRR
Mariia Demianenko, Konstantin L. Malanchev, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Denis Derkach, Mikhail Hushchyn
2021 J jnl
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog.
Astron. Comput.
Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2020 J jnl
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog.
CoRR
Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2020 — conf
Variable Star Classification with Help of Machine Learning Algorithms (short paper).
DAMDID/RCDL (Supplementary Proceedings)
Kirill Naydenkin, Konstantin L. Malanchev, Maria V. Pruzhinskaya
2019 J jnl
Active Anomaly Detection for time-domain discoveries.
CoRR
Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das
2019 J jnl
Fips: An OpenGL based FITS viewer.
Astron. Comput.
Matwey V. Kornilov, Konstantin L. Malanchev
2019 — conf
Realization of Different Techniques for Anomaly Detection in Astronomical Databases.
DAMDID/RCDL (Selected Papers)
Konstantin L. Malanchev, Vladimir S. Korolev, Matwey V. Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon, Maria V. Pruzhinskaya, Sreevarsha Sreejith, Alina Volnova
2019 — conf
Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases.
DAMDID/RCDL
Konstantin L. Malanchev, Alina A. Volnova, Matwey V. Kornilov, Maria V. Pruzhinskaya, Emille E. O. Ishida, Florian Mondon, Vladimir S. Korolev