Publikationen
2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
J. Birk, E. Buhmann, C. Ewen, G. Kasieczka, D. Shih
November 2023, e-print: 2312.00123
J. Birk, E. Buhmann, C. Ewen, G. Kasieczka, D. Shih
November 2023, e-print: 2312.00123
Machine learning techniques for model-independent searches in dijet final states
P. Harris, W. P. Mccormack, S. E. Park, T. Quadfasel, M. Sommerhalder, L. J. Moureaux, G. Kasieczka, O. Amram, P. Maksimovic, B. Maier, M. Pierini, K. A. Wozniak, T. K. Aarrestad, J. Ngadiuba, I. Zoi, S. K. Bright-Thonney, D. Shih, A. Bal
November 2023, e-print: CERN document server (CDS) link
P. Harris, W. P. Mccormack, S. E. Park, T. Quadfasel, M. Sommerhalder, L. J. Moureaux, G. Kasieczka, O. Amram, P. Maksimovic, B. Maier, M. Pierini, K. A. Wozniak, T. K. Aarrestad, J. Ngadiuba, I. Zoi, S. K. Bright-Thonney, D. Shih, A. Bal
November 2023, e-print: CERN document server (CDS) link
Full Phase Space Resonant Anomaly Detection
E. Buhmann, C. Ewen, G. Kasieczka, V. Mikuni, B. Nachman, D. Shih
October 2023, e-print: 2310.06897
E. Buhmann, C. Ewen, G. Kasieczka, V. Mikuni, B. Nachman, D. Shih
October 2023, e-print: 2310.06897
Statistical guarantees for stochastic Metropolis-Hastings
S. Bieringer, G. Kasieczka, M. F. Steffen, M. Trabs
October 2023, e-print: 2310.09335
S. Bieringer, G. Kasieczka, M. F. Steffen, M. Trabs
October 2023, e-print: 2310.09335
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
E. Buhmann, C. Ewen, D. A. Faroughy, T. Golling, G. Kasieczka, M. Leigh, G. Quétant, J. A. Raine, D. Sengupta, D. Shih
September 2023, e-print: 2310.00049
E. Buhmann, C. Ewen, D. A. Faroughy, T. Golling, G. Kasieczka, M. Leigh, G. Quétant, J. A. Raine, D. Sengupta, D. Shih
September 2023, e-print: 2310.00049
Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection
T. Finke, M. Hein, G. Kasieczka, M. Krämer, A. Mück, P. Prangchaikul, T. Quadfasel, D. Shih, M. Sommerhalder
September 2023, e-print: 2309.13111
T. Finke, M. Hein, G. Kasieczka, M. Krämer, A. Mück, P. Prangchaikul, T. Quadfasel, D. Shih, M. Sommerhalder
September 2023, e-print: 2309.13111
Combining Resonant and Tail-based Anomaly Detection
G. Bickendorf, M. Drees, G. Kasieczka, C. Krause, D. Shih
September 2023, e-print: 2309.12918
G. Bickendorf, M. Drees, G. Kasieczka, C. Krause, D. Shih
September 2023, e-print: 2309.12918
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
E. Buhmann, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
September 2023, e-print: 2309.05704
E. Buhmann, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
September 2023, e-print: 2309.05704
Search for long-lived heavy neutral leptons decaying in the CMS muon detectors in proton-proton collisions at √s=13 TeV
The CMS collaboration
July 2023, e-print: CERN document server (CDS) link
The CMS collaboration
July 2023, e-print: CERN document server (CDS) link
The Interplay of Machine Learning-based Resonant Anomaly Detection Methods
T. Golling, G. Kasieczka, C. Krause, R. Mastandrea, B. Nachman, J. A. Raine, D. Sengupta, D. Shih, M. Sommerhalder
July 2023, e-print: 2307.11157
T. Golling, G. Kasieczka, C. Krause, R. Mastandrea, B. Nachman, J. A. Raine, D. Sengupta, D. Shih, M. Sommerhalder
July 2023, e-print: 2307.11157
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
May 2023, e-print: 2305.04847
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
May 2023, e-print: 2305.04847
New Angles on Fast Calorimeter Shower Simulation
S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger, P. McKeown, L. Rustige
March 2023, e-print: 2303.18150
S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger, P. McKeown, L. Rustige
March 2023, e-print: 2303.18150
L2LFlows: Generating High-Fidelity 3D Calorimeter Images
S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, C. Krause, I. Shekhzadeh, D. Shih
February 2023, e-print: 2302.11594
S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, C. Krause, I. Shekhzadeh, D. Shih
February 2023, e-print: 2302.11594
PeakOTron: A Python Module for Fitting Charge Spectra of Silicon Photomultipliers
J. Rolph, E. Garutti, R. Klanner, T. Quadfasel, J. Schwandt
January 2023, published in: NIM A, 1056, 168544 (2023), e-print: 2301.11833
J. Rolph, E. Garutti, R. Klanner, T. Quadfasel, J. Schwandt
January 2023, published in: NIM A, 1056, 168544 (2023), e-print: 2301.11833
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
E. Buhmann, G. Kasieczka, J. Thaler
January 2023, e-print: 2301.08128
E. Buhmann, G. Kasieczka, J. Thaler
January 2023, e-print: 2301.08128
2022
Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
L. Rustige, J. Kummer, F. Griese, K. Borras, M. Brüggen, P. Connor, F. Gaede, G. Kasieczka, T. Knopp, P. Schleper
December 2022, published in: RAS Techniques and Instruments, Volume 2, Issue 1, January 2023, Pages 264–277, e-print: 2212.08504
L. Rustige, J. Kummer, F. Griese, K. Borras, M. Brüggen, P. Connor, F. Gaede, G. Kasieczka, T. Knopp, P. Schleper
December 2022, published in: RAS Techniques and Instruments, Volume 2, Issue 1, January 2023, Pages 264–277, e-print: 2212.08504
Search for long-lived particles using out-of-time trackless jets in proton-proton collisions at √s = 13 TeV
The CMS Collaboration
December 2022, published in: JHEP 07 (2023) 210, e-print: 2212.06695
The CMS Collaboration
December 2022, published in: JHEP 07 (2023) 210, e-print: 2212.06695
Feature Selection with Distance Correlation
R. Das, G. Kasieczka, D. Shih
November 2022, e-print: 2212.00046
R. Das, G. Kasieczka, D. Shih
November 2022, e-print: 2212.00046
Resonant anomaly detection without background sculpting
A. Hallin, G. Kasieczka, T. Quadfasel, D. Shih, M. Sommerhalder
October 2022, published in: Phys. Rev. D 107, 114012, e-print: 2210.14924
A. Hallin, G. Kasieczka, T. Quadfasel, D. Shih, M. Sommerhalder
October 2022, published in: Phys. Rev. D 107, 114012, e-print: 2210.14924
Anomaly Detection under Coordinate Transformations
G. Kasieczka, R. Mastandrea, V. Mikuni, B. Nachman, M. Pettee, D. Shih
September 2022, published in: Phys. Rev. D 107, 015009, e-print: 2209.06225
G. Kasieczka, R. Mastandrea, V. Mikuni, B. Nachman, M. Pettee, D. Shih
September 2022, published in: Phys. Rev. D 107, 015009, e-print: 2209.06225
Data Science and Machine Learning in Education
G. Benelli, G. Chachamis, T. Chen, J. Duarte, M. Feickert, M. Graham, L. Gray, D. Hackett, P. Harris, S.-C. Hsu, G. Kasieczka, E. Khoda, M. Komm, M. Liu, M. Neubauer, S. Norberg, A. Perloff, M. Rieger, A. Roy, C. Savard, K. Terao, S. Thais, J.-R. Vlimant,
July 2022, e-print: 2207.09060
G. Benelli, G. Chachamis, T. Chen, J. Duarte, M. Feickert, M. Graham, L. Gray, D. Hackett, P. Harris, S.-C. Hsu, G. Kasieczka, E. Khoda, M. Komm, M. Liu, M. Neubauer, S. Norberg, A. Perloff, M. Rieger, A. Roy, C. Savard, K. Terao, S. Thais, J.-R. Vlimant,
July 2022, e-print: 2207.09060
Radio Galaxy Classification with wGAN-Supported Augmentation
K. Borras, M. Brüggen, P. Connor, F. Gaede, F. Griese, G. Kasieczka, J. Kummer, L. Rustige, P. Schleper
June 2022, published in: INFORMATIK 2022 Workshops, P-326 469-478 (2022), Lecture Notes in Informatics (LNI), e-print: 2206.15131
K. Borras, M. Brüggen, P. Connor, F. Gaede, F. Griese, G. Kasieczka, J. Kummer, L. Rustige, P. Schleper
June 2022, published in: INFORMATIK 2022 Workshops, P-326 469-478 (2022), Lecture Notes in Informatics (LNI), e-print: 2206.15131
Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell-Yan production in proton-proton collisions at √s = 13 TeV
CMS collaboration
May 2022, published in: Eur. Phys. J. C 83 (2023) 628, e-print: 2205.04897
CMS collaboration
May 2022, published in: Eur. Phys. J. C 83 (2023) 628, e-print: 2205.04897
Search for narrow resonances in the b-tagged dijet mass spectrum in proton-proton collisions at √s = 13 TeV
CMS collaboration
May 2022, published in: Phys. Rev. D 108, 012009, e-print: 2205.01835
CMS collaboration
May 2022, published in: Phys. Rev. D 108, 012009, e-print: 2205.01835
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
A. Adelmann, W. Hopkins, E. Kourlitis, M. Kagan, G. Kasieczka, C. Krause, V. Mikuni, B. Nachman, K. Pedro, D. Shih, D. Winklehner
March 2022, e-print: 2203.08806
A. Adelmann, W. Hopkins, E. Kourlitis, M. Kagan, G. Kasieczka, C. Krause, V. Mikuni, B. Nachman, K. Pedro, D. Shih, D. Winklehner
March 2022, e-print: 2203.08806
Machine Learning and LHC Event Generation
A. Butter (ed), T. Plehn (ed), S. Schumann (ed), S. Badger, S. Caron, K. Cranmer, F. A. Di Bello, E. Dreyer, S. Forte, S. Ganguly, D. Gonçalves, E. Gross, T. Heimel, G. Heinrich, L. Heinrich, A. Held, S. Höche, J. N. Howard, P. Ilten, J. Isaacson, T. Janßen, S. Jones, M. Kado, M. Kagan, G. Kasieczka, F. Kling, S. Kraml, C. Krause, F. Krauss, K. Kröninger, R. K. Barman, M. Luchmann, V. Magerya, D. Maitre, B. Malaescu, F. Maltoni, T. Martini, O. Mattelaer, B. Nachman, S. Pitz, J. Rojo, M. Schwartz, D. Shih, F. Siegert, R. Stegeman, B. Stienen, J. Thaler, R. Verheyen, D. Whiteson, R. Winterhalder, J. Zupan
March 2022, published in: SciPost Phys. 14, 079 (2023), e-print: 2203.07460
A. Butter (ed), T. Plehn (ed), S. Schumann (ed), S. Badger, S. Caron, K. Cranmer, F. A. Di Bello, E. Dreyer, S. Forte, S. Ganguly, D. Gonçalves, E. Gross, T. Heimel, G. Heinrich, L. Heinrich, A. Held, S. Höche, J. N. Howard, P. Ilten, J. Isaacson, T. Janßen, S. Jones, M. Kado, M. Kagan, G. Kasieczka, F. Kling, S. Kraml, C. Krause, F. Krauss, K. Kröninger, R. K. Barman, M. Luchmann, V. Magerya, D. Maitre, B. Malaescu, F. Maltoni, T. Martini, O. Mattelaer, B. Nachman, S. Pitz, J. Rojo, M. Schwartz, D. Shih, F. Siegert, R. Stegeman, B. Stienen, J. Thaler, R. Verheyen, D. Whiteson, R. Winterhalder, J. Zupan
March 2022, published in: SciPost Phys. 14, 079 (2023), e-print: 2203.07460
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn, D. Shih, R. Winterhalder
February 2022, published in: SciPost Phys. 13, 087 (2022), e-print: 2202.09375
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn, D. Shih, R. Winterhalder
February 2022, published in: SciPost Phys. 13, 087 (2022), e-print: 2202.09375
Calomplification -- The Power of Generative Calorimeter Models
S. Bieringer, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, B. Nachman, T. Plehn, M. Trabs
February 2022, published in: JINST 17 P09028, e-print: 2202.07352
S. Bieringer, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, B. Nachman, T. Plehn, M. Trabs
February 2022, published in: JINST 17 P09028, e-print: 2202.07352
2021
Hadrons, Better, Faster, Stronger
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, K. Krüger, P. McKeown, L. Rustige
December 2021, published in: Mach. Learn.: Sci. Technol. 3 025014, e-print: 2112.09709
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, K. Krüger, P. McKeown, L. Rustige
December 2021, published in: Mach. Learn.: Sci. Technol. 3 025014, e-print: 2112.09709
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi, G. Kasieczka, S. Kravitz, B. Nachman, D. Shih
December 2021, published in: Nat Rev Phys 4, 399–412 (2022), e-print: 2112.03769
G. Karagiorgi, G. Kasieczka, S. Kravitz, B. Nachman, D. Shih
December 2021, published in: Nat Rev Phys 4, 399–412 (2022), e-print: 2112.03769
Classifying Anomalies THrough Outer Density Estimation (CATHODE)
A. Hallin, J. Isaacson, G. Kasieczka, C. Krause, B. Nachman, T. Quadfasel, M. Schlaffer, D. Shih, M. Sommerhalder
September 2021, published in: Phys. Rev. D 106, 055006, e-print: 2109.00546
A. Hallin, J. Isaacson, G. Kasieczka, C. Krause, B. Nachman, T. Quadfasel, M. Schlaffer, D. Shih, M. Sommerhalder
September 2021, published in: Phys. Rev. D 106, 055006, e-print: 2109.00546
Symmetries, Safety, and Self-Supervision
B. Dillon, G. Kasieczka, H. Olischlager, T. Plehn, P. Sorrenson, L. Vogel
August 2021, published in: SciPost Phys. 12, 188 (2022) , e-print: 2108.04253
B. Dillon, G. Kasieczka, H. Olischlager, T. Plehn, P. Sorrenson, L. Vogel
August 2021, published in: SciPost Phys. 12, 188 (2022) , e-print: 2108.04253
Unsupervised Hadronic SUEP at the LHC
J. Barron, D. Curtin, G. Kasieczka, T. Plehn, A. Spourdalakis
July 2021, published in: J. High Energ. Phys. 2021, 129 (2021), e-print: JHEP
J. Barron, D. Curtin, G. Kasieczka, T. Plehn, A. Spourdalakis
July 2021, published in: J. High Energ. Phys. 2021, 129 (2021), e-print: JHEP
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
G. Kasieczka, B. Nachman, D. Shih
July 2021, e-print: 2107.02821
G. Kasieczka, B. Nachman, D. Shih
July 2021, e-print: 2107.02821
Search for long-lived particles decaying in the CMS endcap muon detectors in proton-proton collisions at √s=13 TeV
The CMS collaboration
July 2021, published in: Phys. Rev. Lett. 127, 261804 (2021) e-print: journals.aps.org
The CMS collaboration
July 2021, published in: Phys. Rev. Lett. 127, 261804 (2021) e-print: journals.aps.org
Shared Data and Algorithms for Deep Learning in Fundamental Physics
L. Benato, E. Buhmann, M. Erdmann, P. Fackeldey, J. Glombitza, N. Hartmann, G. Kasieczka, W. Korcari, T. Kuhr, J. Steinheimer, H.Stöcker, T. Plehn, K. Zhou
July 2021, published in: Comput Softw Big Sci 6, 9 (2022), e-print: 2107.00656
L. Benato, E. Buhmann, M. Erdmann, P. Fackeldey, J. Glombitza, N. Hartmann, G. Kasieczka, W. Korcari, T. Kuhr, J. Steinheimer, H.Stöcker, T. Plehn, K. Zhou
July 2021, published in: Comput Softw Big Sci 6, 9 (2022), e-print: 2107.00656
Amplifying Statistics with Ensembles of Generative Models
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn in: simDL Workshop at ICLR 2021
May 2021, e-print: e-print
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn in: simDL Workshop at ICLR 2021
May 2021, e-print: e-print
Generative Models for Particle Shower Simulation in Fundamental Physics
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, A. Korol, K. Krüger, P. McKeown, L. Rustige in: simDL Workshop at ICLR 2021
May 2021, e-print: e-print
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, A. Korol, K. Krüger, P. McKeown, L. Rustige in: simDL Workshop at ICLR 2021
May 2021, e-print: e-print
Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger
February 2021, published in: EPJ Web of Conferences 251, 03003 (2021), e-print: 2102.12491
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger
February 2021, published in: EPJ Web of Conferences 251, 03003 (2021), e-print: 2102.12491
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
G. Kasieczka, B. Nachman, D. Shih, et al.
January 2021, published in: Rep Prog Phys. 2021 Nov. 4, e-print: iopscience
G. Kasieczka, B. Nachman, D. Shih, et al.
January 2021, published in: Rep Prog Phys. 2021 Nov. 4, e-print: iopscience
2020
Amplifying Statistics using Generative Models
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn
December 2020, published as: ML4PS Workshop at NeurIPS 2020, e-print: Link
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn
December 2020, published as: ML4PS Workshop at NeurIPS 2020, e-print: Link
How to GAN Higher Jet Resolution
P. Baldi, L. Blecher, A. Butter, J. Collado, J. N. Howard, F. Keilbach, T. Plehn, G. Kasieczka, D. Whiteson
December 2020, e-print: 2012.11944
P. Baldi, L. Blecher, A. Butter, J. Collado, J. N. Howard, F. Keilbach, T. Plehn, G. Kasieczka, D. Whiteson
December 2020, e-print: 2012.11944
DCTRGAN: Improving the Precision of Generative Models with Reweighting
S. Diefenbacher, E. Eren, G. Kasieczka, A. Korol, B. Nachman, D. Shih
September 2020, published in: JINST 15 P11004, e-print: 2009.03796
S. Diefenbacher, E. Eren, G. Kasieczka, A. Korol, B. Nachman, D. Shih
September 2020, published in: JINST 15 P11004, e-print: 2009.03796
Teaching machine learning with an application in collider particle physics
L. Benato, P.L.S. Connor, G. Kasieczka, D. Krücker, M. Meyer
September 2020, published in: JINST 15 (2020) 09, C09011, e-print: iopscience
GANplifying Event Samples
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn
August 2020, published in: SciPost Phys. 10, 139 (2021), e-print: 2008.06545
ABCDisCo: Automating the ABCD Method with Machine Learning
G. Kasieczka, B. Nachman, M. Schwartz, D. Shih
July 2020, e-print: 2007.14400
published February 2021 in: Phys. Rev. D 103, 035021, e-print: journals.aps.org
Towards Machine Learning Analytics for Jet Substructure
G. Kasieczka, S. Marzani, G. Soyez, G. Stagnitto
July 2020, published in: JHEP 09 (2020) 195, e-print: 2007.04319
Invertible Networks or Partons to Detector and Back Again
M. Bellagente, A. Butter, G. Kasieczka, T. Plehn, A. Rousselot
June 2020, published in: SciPost Phys. 9, 074 (2020), e-print: 2006.06685
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger
May 2020, published in: Comput Softw Big Sci 5, 13 (2021), e-print: 2005.05334
Per-Object Systematics using Deep-Learned Calibration
G. Kasieczka, M. Luchmann, F. Otterpohl, T. Plehn
March 2020, published in: SciPost Phys. 9, 089 (2020), e-print: 2003.11099
Robust Jet Classifiers through Distance Correlation
G. Kasieczka, D. Shih
January 2020, published in: Phys.Rev.Lett. 125 (2020) 12, 122001
e-print: 2001.05310
2019
How to GAN away Detector Effects
M. Bellagente, A. Butter, G. Kasieczka, T. Plehn, R. Winterhalder
December 2019, published in: SciPost Phys. 8 (2020) 4, 070, e-print: 1912.00477
CapsNets Continuing the Convolutional Quest
S. Diefenbacher, H. Frost, G. Kasieczka, T. Plehn, J. Thompson
June 2019, published in: SciPost Phys. 8 (2020) 2, 023, e-print: 1906.11265
Morphological classification of radio galaxies: Capsule Networks versus Convolutional Neural Networks
P.N. Best, M.Brüggen, J. H. Croston, G. Kasieczka, V. Lukic, B. Mingo
May 2019, published in: MNRAS 487 (2019) 2, e-print: 1905.03274
Deep-Learning Jets with Uncertainties and More
S. Bollweg, M. Haußmann, G. Kasieczka, M. Luchmann, T. Plehn
April 2019, published in: SciPost Phys. 8 (2020) 1, 006, e-print: 1904.10004
The Machine Learning Landscape of Top Taggers
G. Kasieczka (ed), T. Plehn (ed), A. Butter, K. Cranmer, D. Debnath et. al.
February 2019, published in: SciPost Phys. 7 (2019) 1, 014, e-print: 1902.09914
2018
Quark-Gluon Tagging: Machine Learning vs Detector
G. Kasieczka, N. Kiefer, T. Plehn, T. Thompson
December 2018, published in: SciPost Phys. 6 (2019) 6, 069, e-print: 1812.09223
QCD or What?
T. Heimel, G. Kasieczka, T. Plehn, J. Thompson
August 2018, published in: SciPost Phys. 6 (2019) 3, 030, e-print: 1808.08979
Boosted Top Tagging Method Overview
G. Kasieczka
January 2018, contribution to: TOP2017, e-print: 1801.04180
2017
Deep-learned Top Tagging with a Lorentz Layer
A. Butter, G. Kasieczka, T. Plehn, M. Russell
July 2017, published in: SciPost Phys. 5 (2018) 3, 028, e-print: 1707.08966
Deep-learning Top Taggers or The End of QCD?
G. Kasieczka, T. Plehn, M. Russell, T. Schell
January 2017, published in: JHEP 05 (2017) 006, e-print: 1701.08784