{"id":3222,"date":"2025-12-19T08:56:31","date_gmt":"2025-12-19T07:56:31","guid":{"rendered":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/?page_id=3222"},"modified":"2026-01-17T21:35:46","modified_gmt":"2026-01-17T20:35:46","slug":"talks","status":"publish","type":"page","link":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/sascha-diefenbacher\/talks\/","title":{"rendered":"Talks"},"content":{"rendered":"\n
<\/div>\n\n\n\n

Teaching<\/h2>\n\n\n\n
<\/div>\n\n\n\n
\n
\n
2025<\/td>Machine Learning for Fundamental Physics School<\/td>Introduction to Machine Learning<\/a>, Generative Models<\/a><\/td><\/tr>
2024<\/td>LBL QuarkNet 2024<\/td>Machine Learning and High-Energy Physics
<\/a><\/td><\/tr>
2024<\/td>Machine Learning for Fundamental Physics School
<\/td>		Generative Models
<\/a><\/td><\/tr>
2023<\/td>US ATLAS Machine Learning Training<\/td>Generative Models<\/a><\/td><\/tr>
2023<\/td>Deep Learning School \u201dBasic Concepts<\/td>Convolutions, Convolutional Layers and CNNs<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n

Talks and Seminars<\/h2>\n\n\n\n
<\/div>\n\n\n\n
\n
\n
11\/2025<\/td>Generative AI for High & Low Energy Physics, Santa Barbara (USA)<\/td>Generative and Bridge-based Unfolding<\/td><\/tr>
09\/2025<\/td>ACAT, Hamburg (Germany)<\/td>The FAIR Universe Project
<\/a><\/td><\/tr>
08\/2025<\/td>ML4Jets, Pasadena (USA)<\/td>Discriminative versus Generative Approaches to Simulation-based Inference<\/a><\/td><\/tr>
12\/2024<\/td>NeurIPS, Vancouver (Canada)<\/td>HiggsML Uncertainty Challenge Introduction<\/a><\/td><\/tr>
11\/2024<\/td>ML4Jets, Paris (France)<\/td>Bridging the Generative Unfolding Gap<\/a><\/td><\/tr>
11\/2023<\/td>Artificial Intelligence and the Uncertainty challenge in Fundamental Physics, Paris (France)<\/td>Metrics for Uncertainty-Aware ML Methods<\/a><\/td><\/tr>
11\/2023<\/td>ML4Jets, Hamburg (Germany)<\/td>Refining Fast Calorimeter Simulations with a Schr\u00f6dinger Bridge<\/a><\/td><\/tr>
05\/2022<\/td>5th Inter-experiment Machine Learning Workshop, Geneva (Switzerland)<\/td>Ephemeral Learning – Augmenting Triggers with Online-Trained Normalizing Flows<\/a><\/td><\/tr>
04\/2022<\/td>Learning To Discover, Paris (France)<\/td>Generator Models for 4-momenta Events<\/a><\/td><\/tr>
12\/2021<\/td>Machine Learning and the Physical Sciences, NeurIPS, Online<\/td>Generative models for hadron shower simulation<\/a> (video<\/a>)<\/td><\/tr>
11\/2021<\/td>20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Daejeon (South Korea)<\/td>Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models<\/a><\/td><\/tr>
07\/2021<\/td>ML4Jets, Heidelberg (Germany)<\/td>OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models<\/a><\/td><\/tr>
05\/2021<\/td>25th International Conference on Computing in High-Energy and Nuclear Physics, Online<\/td>Fast and Accurate Electromagnetic and
Hadronic Showers from Generative Models<\/a><\/td><\/tr>
05\/2021<\/td>Deep Learning for Simulation, ICLR, Online<\/td>Amplifying Statistics with Ensembles of Generative Models<\/a><\/td><\/tr>
12\/2020<\/td>Machine Learning and the Physical Sciences, NeurIPS, Online<\/td>Amplifying Statistics using Generative Models<\/a> (video<\/a>)<\/td><\/tr>
10\/2020<\/td>4th Inter-experiment Machine Learning Workshop, Online<\/td>GANplifying Event Samples<\/a><\/td><\/tr>
01\/2020<\/td>ML4Jets, New York (USA)<\/td>CapsNets Continuing the Convolutional Quest<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n\n\n\n
<\/div>\n","protected":false},"excerpt":{"rendered":"

Teaching 2025 Machine Learning for Fundamental Physics School Introduction to Machine Learning, Generative Models 2024 LBL QuarkNet 2024 Machine Learning and High-Energy Physics 2024 Machine Learning for Fundamental Physics School Generative Models 2023 US ATLAS Machine Learning Training Generative Models 2023 Deep Learning School \u201dBasic Concepts Convolutions, Convolutional Layers and CNNs Talks and Seminars 11\/2025 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":3191,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"sascha","meta":{"footnotes":""},"class_list":["post-3222","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/3222","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/comments?post=3222"}],"version-history":[{"count":80,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/3222\/revisions"}],"predecessor-version":[{"id":3457,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/3222\/revisions\/3457"}],"up":[{"embeddable":true,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/3191"}],"wp:attachment":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/media?parent=3222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}