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01/15/2023
Symbolic expression generation via Variational Auto-Encoder
There are many problems in physics, biology, and other natural sciences ...
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10/28/2022
Code4ML: a Large-scale Dataset of annotated Machine Learning Code
Program code as a data source is gaining popularity in the data science ...
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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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04/05/2021
Segmentation of EM showers for neutrino experiments with deep graph neural networks
We introduce a novel method for showers reconstruction from the data col...
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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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07/08/2020
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
Astrophysical images in the GeV band are challenging to analyze due to t...
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02/11/2020
Differentiating the Black-Box: Optimization with Local Generative Surrogates
We propose a novel method for gradient-based optimization of black-box s...
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01/17/2020
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
The goal of the change-point detection is to discover changes of time se...
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12/19/2019
Normalizing flows for deep anomaly detection
Anomaly detection for complex data is a challenging task from the perspe...
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12/01/2019
Adaptive Divergence for Rapid Adversarial Optimization
Adversarial Optimization (AO) provides a reliable, practical way to matc...
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06/14/2019
(1 + ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
Anomaly detection is not an easy problem since distribution of anomalous...
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05/28/2019
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks
The increasing luminosities of future Large Hadron Collider runs and nex...
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03/28/2019
Cherenkov Detectors Fast Simulation Using Neural Networks
We propose a way to simulate Cherenkov detector response using a generat...
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02/06/2019
Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers
The number of space objects will grow several times in a few years due t...
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12/04/2018
Generative Models for Fast Calorimeter Simulation.LHCb case
Simulation is one of the key components in high energy physics. Historic...
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07/08/2018
Machine Learning in High Energy Physics Community White Paper
Machine learning is an important research area in particle physics, begi...
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09/25/2017
Numerical optimization for Artificial Retina Algorithm
High-energy physics experiments rely on reconstruction of the trajectori...
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09/25/2017
Towards automation of data quality system for CERN CMS experiment
Daily operation of a large-scale experiment is a challenging task, parti...
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09/25/2017
Muon Trigger for Mobile Phones
The CRAYFIS experiment proposes to use privately owned mobile phones as ...
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07/27/2015