Nadezda Chernyavskaya

According to our database, Nadezda Chernyavskaya authored at least 11 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows.

Breno Orzari, Nadezda Chernyavskaya, Raphael Cóbe, Javier M. Duarte, Jefferson F. Coelho, Dimitrios Gunopulos, Raghav Kansal, Maurizio Pierini, Thiago Tomei, Mary Touranakou

Mach. Learn. Sci. Technol., December, 2023

Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier.

Sonja Grönroos, Maurizio Pierini, Nadezda Chernyavskaya

Mach. Learn. Sci. Technol., September, 2023

Knowledge Distillation for Anomaly Detection.

Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer

CoRR, 2023

Autoencoders for Real-Time SUEP Detection.

Simranjit Singh Chhibra, Nadezda Chernyavskaya, Benedikt Maier, Maurizio Pierini, Syed Hasan

CoRR, 2023

Triggering Dark Showers with Conditional Dual Auto-Encoders.

Luca Anzalone, Simranjit Singh Chhibra, Benedikt Maier, Nadezda Chernyavskaya, Maurizio Pierini

CoRR, 2023

2022

Particle-based fast jet simulation at the LHC with variational autoencoders.

Mary Touranakou, Nadezda Chernyavskaya, Javier M. Duarte, Dimitrios Gunopulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant

Mach. Learn. Sci. Technol., 2022

Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows.

Pratik Jawahar, Thea Aarrestad, Nadezda Chernyavskaya, Maurizio Pierini, Kinga Anna Wozniak, Jennifer Ngadiuba, Javier M. Duarte, Steven Tsan

Frontiers Big Data, 2022

Lorentz Group Equivariant Autoencoders.

Zichun Hao, Raghav Kansal, Javier M. Duarte, Nadezda Chernyavskaya

CoRR, 2022

On the Evaluation of Generative Models in High Energy Physics.

Raghav Kansal, Anni Li, Javier M. Duarte, Nadezda Chernyavskaya, Maurizio Pierini, Breno Orzari, Thiago Tomei

CoRR, 2022

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks.

Shah Rukh Qasim, Nadezda Chernyavskaya, Jan Kieseler, Kenneth Long, Oleksandr Viazlo, Maurizio Pierini, Raheel Nawaz

CoRR, 2022

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders.

Mary Touranakou, Nadezda Chernyavskaya, Javier M. Duarte, Dimitrios Gunopoulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant

CoRR, 2022