Cargando…

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

Mostrar otras versiones (1)

We investigate how to improve new physics detection strategies exploiting variational autoencoders and normalizing flows for anomaly detection at the Large Hadron Collider. As a working example, we consider the DarkMachines challenge dataset. We show how different design choices (e.g., event represe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jawahar, Pratik, Aarrestad, Thea, Chernyavskaya, Nadezda, Pierini, Maurizio, Wozniak, Kinga A., Ngadiuba, Jennifer, Duarte, Javier, Tsan, Steven
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Big Data
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919050/ https://www.ncbi.nlm.nih.gov/pubmed/35295683 http://dx.doi.org/10.3389/fdata.2022.803685

Ejemplares similares

Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing Flows
por: Jawahar, Pratik, et al.
Publicado: (2021)

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data
por: Gootjes-Dreesbach, Luise, et al.
Publicado: (2020)

LHC physics dataset for unsupervised New Physics detection at 40 MHz
por: Govorkova, Ekaterina, et al.
Publicado: (2022)

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders
por: Touranakou, Mary, et al.
Publicado: (2022)

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
por: Iiyama, Yutaro, et al.
Publicado: (2021)

LHC physics dataset for unsupervised New Physics detection at 40 MHz
por: Govorkova, Ekaterina, et al.
Publicado: (2021)

Applications and Techniques for Fast Machine Learning in Science
por: Deiana, Allison McCarn, et al.
Publicado: (2022)

Corrigendum: Applications and techniques for fast machine learning in science
por: Deiana, Allison McCarn, et al.
Publicado: (2023)

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence
por: Di Girolamo, Alessandro, et al.
Publicado: (2022)

The role of functional data in interpreting the effects of genetic variation
por: Young, David L., et al.
Publicado: (2015)

Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows
por: Astero, Maryam, et al.
Publicado: (2022)

Past efforts in determining suitable normalization methods for multi-criteria decision-making: A short survey
por: Krishnan, Anath Rau
Publicado: (2022)

The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein’s Loss
por: Zhang, Ying-Ying, et al.
Publicado: (2022)

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region
por: Mishra, Umakant, et al.
Publicado: (2020)

Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier
por: Grönroos, Sonja, et al.
Publicado: (2023)

Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
por: Ferrari Dacrema, Maurizio, et al.
Publicado: (2022)

Lorentz Group Equivariant Autoencoders
por: Hao, Zichun, et al.
Publicado: (2022)

Lorentz group equivariant autoencoders
por: Hao, Zichun, et al.
Publicado: (2023)

Autoencoders for Real-Time SUEP Detection
por: Chhibra, Simranjit Singh, et al.
Publicado: (2023)

Graph Neural Networks for Charged Particle Tracking on FPGAs
por: Elabd, Abdelrahman, et al.
Publicado: (2022)

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
por: Tsan, Steven, et al.
Publicado: (2021)

Biosecurity in the age of Big Data: a conversation with the FBI
por: Kozminski, Keith G.
Publicado: (2015)

Big Data in Caenorhabditis elegans: quo vadis?
por: Hutter, Harald, et al.
Publicado: (2015)

Expression, sorting, and segregation of Golgi proteins during germ cell differentiation in the testis
por: Au, Catherine E., et al.
Publicado: (2015)

Proteome-wide quantitative multiplexed profiling of protein expression: carbon-source dependency in Saccharomyces cerevisiae
por: Paulo, Joao A., et al.
Publicado: (2015)

Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
por: Baig, Furqan, et al.
Publicado: (2020)

Named Data Networking for Genomics Data Management and Integrated Workflows
por: Ogle, Cameron, et al.
Publicado: (2021)

Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound
por: McDermott, Conor, et al.
Publicado: (2021)

User, Usage and Usability: Redefining Human Centric Cyber Security
por: Grobler, Marthie, et al.
Publicado: (2021)

A Framework for Contractual Graphs
por: Murimi, Renita M.
Publicado: (2021)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
por: Zeng, Zheni, et al.
Publicado: (2021)

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
por: Qayyum, Adnan, et al.
Publicado: (2020)

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
por: Nartowt, Bradley J., et al.
Publicado: (2020)

Twitter Response to Munich July 2016 Attack: Network Analysis of Influence
por: Bermudez, Ivan, et al.
Publicado: (2019)

TGx-DDI, a Transcriptomic Biomarker for Genotoxicity Hazard Assessment of Pharmaceuticals and Environmental Chemicals
por: Li, Heng-Hong, et al.
Publicado: (2019)

Parallel Processing Strategies for Big Geospatial Data
por: Werner, Martin
Publicado: (2019)

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture
por: Babaeian, Ebrahim, et al.
Publicado: (2019)

Data Mining Climate Variability as an Indicator of U.S. Natural Gas
por: Stuivenvolt-Allen, Jacob, et al.
Publicado: (2019)

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model
por: Mladenova, Iliana E., et al.
Publicado: (2020)

The Role of Cue Utilization and Cognitive Load in the Recognition of Phishing Emails
por: Nasser, George, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_5p4bgmast1rk6bempkdl902gfu