Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains.

[BibT_eX]

[DOI]

J. Big Data, December, 2023

The Tracking Machine Learning Challenge: Throughput Phase.

[BibT_eX]

[DOI]

Comput. Softw. Big Sci., December, 2023

Symbolic expression generation <i>via</i> variational auto-encoder.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2023

Code4ML: a large-scale dataset of annotated Machine Learning code.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2023

Machine learning code snippets semantic classification.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2023

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems.

[BibT_eX]

[DOI]

J. Big Data, 2023

AI Competitions and Benchmarks: Competition platforms.

[BibT_eX]

[DOI]

Andrey Ustyuzhanin

Harald Carlens

CoRR, 2023

Symbolic expression generation via Variational Auto-Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Deep Learning for direct Dark Matter search with nuclear emulsions.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2022

2021

NFAD: fixing anomaly detection using normalizing flows.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2021

Generalization of change-point detection in time series data based on direct density ratio estimation.

[BibT_eX]

[DOI]

Mikhail Hushchyn

Andrey Ustyuzhanin

J. Comput. Sci., 2021

Learning velocity model for complex media with deep convolutional neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Segmentation of EM showers for neutrino experiments with deep graph neural networks.

[BibT_eX]

[DOI]

Vladislav Belavin

Ekaterina Trofimova

Andrey Ustyuzhanin

CoRR, 2021

Online detection of failures generated by storage simulator.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Allen: A High-Level Trigger on GPUs for LHCb.

[BibT_eX]

[DOI]

Comput. Softw. Big Sci., December, 2020

Adaptive divergence for rapid adversarial optimization.

[BibT_eX]

[DOI]

Maxim Borisyak

Tatiana Gaintseva

Andrey Ustyuzhanin

PeerJ Comput. Sci., 2020

SANgo: a storage infrastructure simulator with reinforcement learning support.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2020

(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images.

[BibT_eX]

[DOI]

CoRR, 2020

Differentiating the Black-Box: Optimization with Local Generative Surrogates.

[BibT_eX]

[DOI]

CoRR, 2020

Black-Box Optimization with Local Generative Surrogates.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Normalizing flows for deep anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2019

$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.

[BibT_eX]

[DOI]

CoRR, 2019

Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Cherenkov Detectors Fast Simulation Using Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers.

[BibT_eX]

[DOI]

CoRR, 2019

2018

TrackML Throughput Phase.

[BibT_eX]

[DOI]

Dataset, September, 2018

TrackML Particle Tracking Challenge.

[BibT_eX]

[DOI]

Dataset, August, 2018

Generative Models for Fast Calorimeter Simulation.LHCb case.

[BibT_eX]

[DOI]

CoRR, 2018

Machine Learning in High Energy Physics Community White Paper.

[BibT_eX]

[DOI]

Juan Pedro Araque Espinosa

Konstantin Kanishchev

Graeme Andrew Stewart

Xavier Vilasís-Cardona

CoRR, 2018

TrackML: A High Energy Physics Particle Tracking Challenge.

[BibT_eX]

[DOI]

Vladimir Vava Gligorov

Mikhail Hushchyn

Andrey Ustyuzhanin

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Deep learning for inferring cause of data anomalies.

[BibT_eX]

[DOI]

CoRR, 2017

Numerical optimization for Artificial Retina Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Towards automation of data quality system for CERN CMS experiment.

[BibT_eX]

[DOI]

CoRR, 2017

Muon Trigger for Mobile Phones.

[BibT_eX]

[DOI]

CoRR, 2017

Everware toolkit. Supporting reproducible science and challenge-driven education.

[BibT_eX]

[DOI]

CoRR, 2017

GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets.

[BibT_eX]

[DOI]

CoRR, 2017

LHCb trigger streams optimization.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Event Index - a LHCb Event Search System.

[BibT_eX]

[DOI]

CoRR, 2015

Disk storage management for LHCb based on Data Popularity estimator.

[BibT_eX]

[DOI]

Mikhail Hushchyn

Philippe Charpentier

Andrey Ustyuzhanin

CoRR, 2015

A genetic algorithm for autonomous navigation in partially observable domain.

[BibT_eX]

[DOI]

Maxim Borisyak

Andrey Ustyuzhanin

CoRR, 2015

Distributed Data Replication and Access Optimization for LHCb Storage System.

[BibT_eX]

[DOI]

Mikhail Hushchyn

Philippe Charpentier

Andrey Ustyuzhanin

Proceedings of the KDIR 2015, 2015

Andrey Ustyuzhanin

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