DeepLearn 2023 Winter
8th International School
on Deep Learning
Bournemouth, UK · January 16-20, 2023
Registration
Downloads
  • Call DeepLearn 2023 Winter
  • Poster DeepLearn 2023 Winter
  • Lecture Materials
  • Home
  • Schedule
  • Lecturers
  • News
  • Accommodation
  • Info
    • Travel from London to Bournemouth
    • Sponsoring
    • Code of conduct
    • Visa
    • Testimonials
  • Home
  • Schedule
  • Lecturers
  • News
  • Accommodation
  • Info
    • Travel from London to Bournemouth
    • Sponsoring
    • Code of conduct
    • Visa
    • Testimonials
deeplearn-speaker-gregor-kasieczka

Gregor Kasieczka

University of Hamburg

[introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models

Summary

This course will introduce aspects of unsupervised (and weakly supervised) learning methods and demonstrate these concepts using concrete problems from particle physics. After a short introduction to the scientific enviroment, we explore anomaly detection as a potential strategy to search for previously unseen physical processes in a model independent way. We encounter different solutions to this problem, ranging from autoencoders to methods based on density estimation.

The availability of high-quality synthetic data from Monte Carlo (MC) simulation is a key ingredient for the success of particle physics. However, the production and storage of these MC simulations occupies a large fraction of computing resources of big experimental collaborations. We will introduce generative machine learning models such as generative adversarial networks (GANs), variational autoencoders (VAEs), and flow based models which promise a way to greatly speed-up simulation.

Syllabus

  • Introduction to the scientific environment in particle physics: Open questions, challenges, and typical data
  • Discussion of anomaly detection: Point vs Group Anomalies, Methods for unsupervised anomaly detection
  • Overview of generative machine learning models and their application to physics data

References

Deep Learning for Physics Research (https://doi.org/10.1142/12294)

Pre-requisites

Basic knowledge of deep learning and particle physics helpful, but not required.

Short bio

Gregor Kasieczka is an Assistant Professor for machine learning in particle physics at the University of Hamburg. His research includes searching for exotic new theories of physics with the CMS experiment at CERN and developing machine learning algorithms with a focus on particle physics applications. Topics of interest are particle classification, uncertainty estimation and robustness, building generative models for fast simulation, and developing new approaches for the unsupervised detection of anomalies in data.

Other Courses

deeplearn-speaker-yi-maYi Ma
Daphna WeinshallDaphna Weinshall
Eric P. XingEric P. Xing
Matias Carrasco KindMatias Carrasco Kind
deeplearn-speaker-nitesh-chawlaNitesh Chawla
Sumit ChopraSumit Chopra
Luc De RaedtLuc De Raedt
Marco DuarteMarco Duarte
Joao GamaJoão Gama
Claus HornClaus Horn
Zhiting Hu & Eric P. XingZhiting Hu & Eric P. Xing
deeplearn-speaker-nathalie-japkowiczNathalie Japkowicz
Karen LivescuKaren Livescu
deeplearn-speaker-david-mcallersterDavid McAllester
deeplearn-speaker-dhabaleswar-k-pandaDhabaleswar K. Panda
Fabio RoliFabio Roli
Bracha ShapiraBracha Shapira
deeplearn-speaker-kunal-tawarKunal Talwar
Tinne TuytelaarsTinne Tuytelaars
deeplearn-speaker-lyle-ungarLyle Ungar
speakers-bram-van-ginnekenBram van Ginneken
deeplearn-speaker-yudong-zhangYu-Dong Zhang

DeepLearn 2022 Winter

CO-ORGANIZERS

Bournemouth University
Department of Computing and Informatics

Universitat Rovira i Virgili, Tarragona

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • DeepLearn 2023 Summer – 10th International Gran Canaria School on Deep Learning
  • BigDat 2023 Summer – 7th International School on Big Data
  • DeepLearn 2023 Spring – 9th International School on Deep Learning
Past links
  • DeepLearn 2022 Autumn
  • DeepLearn 2022 Summer
  • DeepLearn 2022 Spring
  • DeepLearn 2021 Summer
  • DeepLearn 2019
  • DeepLearn 2018
  • DeepLearn 2017
© IRDTA 2022. All Rights Reserved.
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-advertisement1 yearThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement".
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
PHPSESSIDsessionThis cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
CookieDurationDescription
_ga2 yearsThis cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors.
_gat_gtag_UA_74880351_91 minuteThis cookie is set by Google and is used to distinguish users.
_gid1 dayThis cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT
Powered by CookieYes Logo