CERN Accelerating science

CERN Document Server 2,022 εγγραφές βρέθηκαν  1 - 10επόμενοτέλος  μετάβαση στην εγγραφή: Η έρευνα πήρε 0.24 δευτερόλεπτα. 
1.
CWoLa hunting / Collins, Jack (speaker) (University of Maryland and Johns Hopkins University) ; Nachman, Ben (speaker) (Lawrence Berkeley National Lab. (US))
2018 - 2225. Machine Learning; IML Machine Learning Working Group: unsupervised searches, part 2 External links: Talk details; Event details In : IML Machine Learning Working Group: unsupervised searches, part 2
2.
ATLAS+CMS: Jet substructure measurements / Nachman, Ben (speaker) (Lawrence Berkeley National Lab. (US)) ; Hinzmann, Andreas (speaker) (Hamburg University (DE))
2021 - 4013. Conferences & Workshops; Jets and their substructure from LHC data External links: Talk details; Event details In : Jets and their substructure from LHC data
3.
New developments in anomaly detection and model independent searches for new physics with machine learning / Nachman, Ben (speaker) (Lawrence Berkeley National Lab. (US))
2022 - 1067. Conferences; 10th Edition of the Large Hadron Collider Physics Conference External links: Talk details; Event details In : 10th Edition of the Large Hadron Collider Physics Conference
4.
Interpretability and reliance on simulation / Nachman, Ben (speaker) (Lawrence Berkeley National Lab. (US))
2020 - 1097. Conferences; 8th Edition of the Large Hadron Collider Physics Conference External links: Talk details; Event details In : 8th Edition of the Large Hadron Collider Physics Conference
5.
Advanced Machine Learning for Classification, Regression, and Generation in Jet Physics / Nachman, Ben (speaker) (Lawrence Berkeley National Lab. (US))
There is a deep connection between machine learning and jet physics - after all, jets are defined by unsupervised learning algorithms. Jet physics has been a driving force for studying modern machine learning in high energy physics. [...]
2017 - 2804. EP-IT Data science seminars External link: Event details In : Advanced Machine Learning for Classification, Regression, and Generation in Jet Physics
6.
QCD or What? / Thompson, Jennifer (speaker) (ITP Heidelberg)
arXiv:1808.08979
2018 - 1070. Machine Learning; IML Machine Learning Working Group: unsupervised searches, part 2 External links: Talk details; Event details In : IML Machine Learning Working Group: unsupervised searches, part 2
7.
ML as a Service for HEP / Kuznetsov, Valentin Y (speaker) (Cornell University (US))
2018 - 2029. Machine Learning; IML Machine Learning Working Group: Open topic External links: Talk details; Event details In : IML Machine Learning Working Group: Open topic
8.
Searching for new physics without knowing the signal model / Amoroso, Simone (speaker) (Deutsches Elektronen-Synchrotron (DE)) ; Caron, Sascha (speaker) (Nikhef National institute for subatomic physics (NL)) ; Schouwenberg, Jeroen (speaker) (Nikhef National institute for subatomic physics (NL))
2018 - 1982. Machine Learning; IML Machine Learning Working Group: unsupervised searches, part 2 External links: Talk details; Event details In : IML Machine Learning Working Group: unsupervised searches, part 2
9.
Invited talk: Overview, RNNs and alike in HEP / Cranmer, Kyle Stuart (speaker) (New York University (US))
2018 - 3430. Machine Learning; IML Machine Learning Working Group: sequential models External links: Talk details; Event details In : IML Machine Learning Working Group: sequential models
10.
Machine learning as an instrument for data unfolding / Glazov, Alexander (speaker) (Deutsches Elektronen-Synchrotron (DE))
2018 - 1895. Machine Learning; IML Machine Learning Working Group: unsupervised searches and unfolding with ML External links: Talk details; Event details In : IML Machine Learning Working Group: unsupervised searches and unfolding with ML

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