Deep-learning jets with uncertainties and more
Bayesian neural networks allow us to keep track of uncertainties, for example in top tagging, by learning a tagger output together with an error band. We illustrate the main features of Bayesian versions of established deep-learning taggers. We show how they capture statistical uncertainties from fi...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
16-01-2020
|
| In: |
SciPost physics
Year: 2020, Jahrgang: 8, Heft: 1, Pages: 1-25 |
| ISSN: | 2542-4653 |
| DOI: | 10.21468/SciPostPhys.8.1.006 |
| Online-Zugang: | Resolving-System, Volltext: https://doi.org/10.21468/SciPostPhys.8.1.006 Verlag: https://scipost.org/10.21468/SciPostPhys.8.1.006 
|
| Verfasserangaben: | Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn and Jennifer Thompson |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1691153532 | ||
| 003 | DE-627 | ||
| 005 | 20230202162942.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200227s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.21468/SciPostPhys.8.1.006 |2 doi | |
| 035 | |a (DE-627)1691153532 | ||
| 035 | |a (DE-599)KXP1691153532 | ||
| 035 | |a (OCoLC)1341308358 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Bollweg, Sven |e VerfasserIn |0 (DE-588)1205493794 |0 (DE-627)1691158496 |4 aut | |
| 245 | 1 | 0 | |a Deep-learning jets with uncertainties and more |c Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn and Jennifer Thompson |
| 264 | 1 | |c 16-01-2020 | |
| 300 | |a 25 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 27.02.2020 | ||
| 520 | |a Bayesian neural networks allow us to keep track of uncertainties, for example in top tagging, by learning a tagger output together with an error band. We illustrate the main features of Bayesian versions of established deep-learning taggers. We show how they capture statistical uncertainties from finite training samples, systematics related to the jet energy scale, and stability issues through pile-up. Altogether, Bayesian networks offer many new handles to understand and control deep learning at the LHC without introducing a visible prior effect and without compromising the network performance. | ||
| 700 | 1 | |a Haußmann, Manuel |d 1990- |e VerfasserIn |0 (DE-588)1205492046 |0 (DE-627)1691155802 |4 aut | |
| 700 | 1 | |a Kasieczka, Gregor |e VerfasserIn |4 aut | |
| 700 | 1 | |a Luchmann, Michel |d 1994- |e VerfasserIn |0 (DE-588)1205492771 |0 (DE-627)1691156868 |4 aut | |
| 700 | 1 | |a Plehn, Tilman |d 1969- |e VerfasserIn |0 (DE-588)1021935573 |0 (DE-627)715839535 |0 (DE-576)363449809 |4 aut | |
| 700 | 1 | |a Thompson, Jennifer M. |d 1989- |e VerfasserIn |0 (DE-588)1138038768 |0 (DE-627)895400030 |0 (DE-576)492312532 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t SciPost physics |d Amsterdam : SciPost Foundation, 2016 |g 8(2020), 1, Artikel-ID 006, Seite 1-25 |h Online-Ressource |w (DE-627)881391751 |w (DE-600)2886659-9 |w (DE-576)484813447 |x 2542-4653 |7 nnas |a Deep-learning jets with uncertainties and more |
| 773 | 1 | 8 | |g volume:8 |g year:2020 |g number:1 |g elocationid:006 |g pages:1-25 |g extent:25 |a Deep-learning jets with uncertainties and more |
| 856 | 4 | 0 | |u https://doi.org/10.21468/SciPostPhys.8.1.006 |x Resolving-System |x Verlag |3 Volltext |
| 856 | 4 | 0 | |u https://scipost.org/10.21468/SciPostPhys.8.1.006 |x Verlag |
| 951 | |a AR | ||
| 992 | |a 20200227 | ||
| 993 | |a Article | ||
| 994 | |a 2020 | ||
| 998 | |g 1138038768 |a Thompson, Jennifer M. |m 1138038768:Thompson, Jennifer M. |p 6 |y j | ||
| 998 | |g 1021935573 |a Plehn, Tilman |m 1021935573:Plehn, Tilman |d 130000 |d 130300 |e 130000PP1021935573 |e 130300PP1021935573 |k 0/130000/ |k 1/130000/130300/ |p 5 | ||
| 998 | |g 1205492771 |a Luchmann, Michel |m 1205492771:Luchmann, Michel |d 130000 |d 130300 |e 130000PL1205492771 |e 130300PL1205492771 |k 0/130000/ |k 1/130000/130300/ |p 4 | ||
| 998 | |g 1205492046 |a Haußmann, Manuel |m 1205492046:Haußmann, Manuel |d 700000 |d 708070 |e 700000PH1205492046 |e 708070PH1205492046 |k 0/700000/ |k 1/700000/708070/ |p 2 | ||
| 999 | |a KXP-PPN1691153532 |e 3598923953 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"relHost":[{"id":{"issn":["2542-4653"],"zdb":["2886659-9"],"eki":["881391751"]},"origin":[{"dateIssuedDisp":"[2016]-","publisher":"SciPost Foundation","publisherPlace":"Amsterdam"}],"physDesc":[{"extent":"Online-Ressource"}],"title":[{"title":"SciPost physics","title_sort":"SciPost physics"}],"part":{"year":"2020","issue":"1","pages":"1-25","text":"8(2020), 1, Artikel-ID 006, Seite 1-25","volume":"8","extent":"25"},"pubHistory":["Vol. 1, issue 1 (September/October 2016)-"],"language":["eng"],"recId":"881391751","type":{"media":"Online-Ressource","bibl":"periodical"},"note":["Gesehen am 06.03.17"],"disp":"Deep-learning jets with uncertainties and moreSciPost physics"}],"physDesc":[{"extent":"25 S."}],"name":{"displayForm":["Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn and Jennifer Thompson"]},"id":{"eki":["1691153532"],"doi":["10.21468/SciPostPhys.8.1.006"]},"origin":[{"dateIssuedKey":"2020","dateIssuedDisp":"16-01-2020"}],"recId":"1691153532","language":["eng"],"note":["Gesehen am 27.02.2020"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"person":[{"roleDisplay":"VerfasserIn","display":"Bollweg, Sven","role":"aut","family":"Bollweg","given":"Sven"},{"family":"Haußmann","given":"Manuel","display":"Haußmann, Manuel","roleDisplay":"VerfasserIn","role":"aut"},{"family":"Kasieczka","given":"Gregor","roleDisplay":"VerfasserIn","display":"Kasieczka, Gregor","role":"aut"},{"given":"Michel","family":"Luchmann","role":"aut","display":"Luchmann, Michel","roleDisplay":"VerfasserIn"},{"given":"Tilman","family":"Plehn","role":"aut","roleDisplay":"VerfasserIn","display":"Plehn, Tilman"},{"given":"Jennifer M.","family":"Thompson","role":"aut","display":"Thompson, Jennifer M.","roleDisplay":"VerfasserIn"}],"title":[{"title_sort":"Deep-learning jets with uncertainties and more","title":"Deep-learning jets with uncertainties and more"}]} | ||
| SRT | |a BOLLWEGSVEDEEPLEARNI1601 | ||