Maxim Borisyak

According to our database, Maxim Borisyak authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations.

Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2024

A workflow management system for reproducible and interoperable high-throughput self-driving experiments.

Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou

Comput. Chem. Eng., 2024

2023

Deep Learning for Fast Inference of Mechanistic Models' Parameters.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

2022

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.

Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer

CoRR, 2022

2021

NFAD: fixing anomaly detection using normalizing flows.

Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach

PeerJ Comput. Sci., 2021

2020

Adaptive divergence for rapid adversarial optimization.

Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin

PeerJ Comput. Sci., 2020

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

Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva

J. Mach. Learn. Res., 2020

2019

Normalizing flows for deep anomaly detection.

Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach

CoRR, 2019

Machine Learning on sWeighted Data.

Maxim Borisyak, Nikita Kazeev

CoRR, 2019

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

Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva

CoRR, 2019

Machine Learning on data with sPlot background subtraction.

Maxim Borisyak, Nikita Kazeev

CoRR, 2019

2017

Deep learning for inferring cause of data anomalies.

V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol, Fedor Ratnikov, Filip Siroky, Andrey Ustyuzhanin, Jean-Roch Vlimant

CoRR, 2017

Numerical optimization for Artificial Retina Algorithm.

Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous

CoRR, 2017

Towards automation of data quality system for CERN CMS experiment.

Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin

CoRR, 2017

Muon Trigger for Mobile Phones.

Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin

CoRR, 2017

2015

Application of Kullback-Leibler divergence for short-term user interest detection.

Maxim Borisyak, Roman Zykov, Artem Noskov

CoRR, 2015

A genetic algorithm for autonomous navigation in partially observable domain.

Maxim Borisyak, Andrey Ustyuzhanin

CoRR, 2015