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07/05/2023
Performance Modeling of Data Storage Systems using Generative Models
High-precision modeling of systems is one of the main areas of industria...
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09/15/2022
Toward an understanding of the properties of neural network approaches for supernovae light curve approximation
The modern time-domain photometric surveys collect a lot of observations...
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08/22/2022
Latent Neural Stochastic Differential Equations for Change Point Detection
The purpose of change point detection algorithms is to locate an abrupt ...
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06/27/2022
Supernova Light Curves Approximation based on Neural Network Models
Photometric data-driven classification of supernovae becomes a challenge...
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05/03/2021
The Tracking Machine Learning challenge : Throughput phase
This paper reports on the second "Throughput" phase of the Tracking Mach...
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01/18/2021
Online detection of failures generated by storage simulator
Modern large-scale data-farms consist of hundreds of thousands of storag...
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10/03/2020
Online Neural Networks for Change-Point Detection
Moments when a time series changes its behaviour are called change point...
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06/18/2020
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog
We propose a novel approach for a machine-learning-based detection of th...
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01/21/2020
Variational Dropout Sparsification for Particle Identification speed-up
Accurate particle identification (PID) is one of the most important aspe...
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01/17/2020