Gregor Kasieczka

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

High Energy Physics

Anomaly Based Intrusion Detection

Top Venues

Mach. Learn. Sci. Technol.

Comput. Softw. Big Sci.

GI-Jahrestagung

Publications

Anna Hallin, Gregor Kasieczka, Sabine Kraml, André Lessa, Louis Moureaux, Tore von Schwartz, David Shih
Universal New Physics Latent Space. CoRR (2024)
Joschka Birk, Anna Hallin, Gregor Kasieczka
OmniJet-α: The first cross-task foundation model for particle physics. CoRR (2024)
Patrick Odagiu, Zhiqiang Que, Javier M. Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander D. Tapper, Thea Klæboe Årrestad
Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC. CoRR (2024)
Thorsten Buss, Frank Gaede, Gregor Kasieczka, Claudius Krause, David Shih
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows. CoRR (2024)
Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR (2023)
Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown, Lennart Rustige
New angles on fast calorimeter shower simulation. Mach. Learn. Sci. Technol. 4 (3) (2023)
Erik Buhmann, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation. CoRR (2023)
Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs
AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization. CoRR (2023)
Joschka Birk, Erik Buhmann, Cedric Ewen, Gregor Kasieczka, David Shih
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. CoRR (2023)
Erik Buhmann, Gregor Kasieczka, Jesse Thaler
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets. CoRR (2023)
Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs
Statistical guarantees for stochastic Metropolis-Hastings. CoRR (2023)
Ranit Das, Gregor Kasieczka, David Shih
Residual ANODE. CoRR (2023)
Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation. CoRR (2023)
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR (2022)
Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis
Data Science and Machine Learning in Education. CoRR (2022)
Erik Buhmann, Sascha Diefenbacher, Daniel Hundhausen, Gregor Kasieczka, William Korcari, Engin Eren, Frank Gaede, Katja Krüger, Peter McKeown, Lennart Rustige
Hadrons, better, faster, stronger. Mach. Learn. Sci. Technol. 3 (2) (2022)
Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou
Shared Data and Algorithms for Deep Learning in Fundamental Physics. Comput. Softw. Big Sci. 6 (1) (2022)
Janis Kummer, Lennart Rustige, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, Peter Schleper
Radio Galaxy Classification with wGAN-Supported Augmentation. GI-Jahrestagung (2022)
Ranit Das, Gregor Kasieczka, David Shih
Feature Selection with Distance Correlation. CoRR (2022)
Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou
Shared Data and Algorithms for Deep Learning in Fundamental Physics. CoRR (2021)
Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. Comput. Softw. Big Sci. 5 (1) (2021)
Gregor Kasieczka, Benjamin Nachman, David Shih
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR (2021)
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder
How to GAN away Detector Effects. CoRR (2019)