Dr. Claudius Gottfried Krause

Profile

Academic positionLecturer, Assistant Professor, Researcher
Research fieldsTheoretical Physics,Elementary Particle Physics
KeywordsAritificial Intelligence, Machine Learning, Beyond the Standard Model, Phenomenology, Higgs Physics
Honours and awards

2026: Thrid Prize ex aequo "ÖAW Prize Question 2026"

2025: First Place ex aequo "FAIR Universe Higgs Uncertainty Challange"

2017: Exzellenzcluster "Universe" PhD Award: Best PhD Thesis "Theory"

Current contact address

CountryAustria
CityWien
InstitutionÖsterreichische Akademie der Wissenschaften
InstituteMarietta-Blau-Institut für Teilchenphysik (MBI)

Host during sponsorship

Prof. Dr. Marcela S. CarenaTheoretical Physics Department, Fermi National Accelerator Laboratory, Batavia
Start of initial sponsorship01/03/2018

Programme(s)

2017Feodor Lynen Research Fellowship Programme for Postdocs

Publications (partial selection)

2026Favaro, Luigi and Giammanco, Andrea and Krause, Claudius: {A universal vision transformer for fast calorimeter simulations}. In: Mach. Learn. Sci. Tech., 7, 2026, 035052
2026Krause, Claudius and Wang, Daohan and Winterhalder, Ramon: {BitHEP {\textemdash} The limits of low-precision ML in HEP}. In: SciPost Phys., 20, 2026, 038
2026Buchalla, G. and Cat{\`a}, O. and Celis, A. and Krause, C.: {Comment on {\textquotedblleft}Primary Dimensions{\textquotedblright}}. In: Eur. Phys. J. C, 86, 2026, 794
2026Bothmann, Enrico and Isaacson, Joshua and Krause, Claudius and L{\'o}pez-Zurita, Carla J. and Spannring, Maximilian and Wang, Daohan: {Efficient Event Generation for High-Multiplicity LHC Processes: An End-to-End GPU Workflow with Normalizing Flows}. 2026,
2026Barru{\'e}, Ricardo and others: {Proton Structure from Neural Simulation-Based Inference at the LHC}. 2026,
2026Krause, Claudius and Winterhalder, Ramon and Feickert, Matthew and Nachman, Benjamin: {The Living Guide of Machine Learning for Particle Physics}. 2026,
2025Amram, Oz and others: {CaloChallenge 2022: a community challenge for fast calorimeter simulation}. In: Rept. Prog. Phys., 88, 2025, 116201
2025Favaro, Luigi and Giammanco, Andrea and Krause, Claudius: {Fast, accurate, and precise detector simulation with vision transformers}. {2nd European AI for Fundamental Physics Conference}. 2025.
2025He, Minxuan and Krause, Claudius and Wang, Daohan: {Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties}. 2025,
2025Ernst, Florian and Favaro, Luigi and Krause, Claudius and Plehn, Tilman and Shih, David: {Normalizing flows for high-dimensional detector simulations}. In: SciPost Phys., 18, 2025, 081
2025Benato, Lisa and Giordano, Cristina and Krause, Claudius and Li, Ang and Schöfbeck, Robert and Schwarz, Dennis and Shooshtari, Maryam and Wang, Daohan: {Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties}. In: Phys. Rev. D, 112, 2025, 052006
2025Du, Haoxing and Krause, Claudius and Mikuni, Vinicius and Nachman, Benjamin and Pang, Ian and Shih, David: {Unifying simulation and inference with normalizing flows}. In: Phys. Rev. D, 111, 2025, 076004
2025Hallin, Anna and Shih, David and Krause, Claudius and Buckley, Matthew R.: {Via Machinae 3.0: A search for stellar streams in Gaia with the CATHODE algorithm}. 2025,
2024Krause, Claudius and Nachman, Benjamin and Pang, Ian and Shih, David and Zhu, Yunhao: {Anomaly detection with flow-based fast calorimeter simulators}. In: Phys. Rev. D, 110, 2024, 035036
2024Krause, Claudius and Pang, Ian and Shih, David: {CaloFlow for CaloChallenge dataset 1}. In: SciPost Phys., 16, 2024, 126
2024Bickendorf, Gerrit and Drees, Manuel and Kasieczka, Gregor and Krause, Claudius and Shih, David: {Combining resonant and tail-based anomaly detection}. In: Phys. Rev. D, 109, 2024, 096031
2024Buss, Thorsten and Gaede, Frank and Kasieczka, Gregor and Krause, Claudius and Shih, David: {Convolutional L2LFlows: generating accurate showers in highly granular calorimeters using convolutional normalizing flows}. In: JINST, 19, 2024, P09003
2024Hashemi, Baran and Krause, Claudius: {Deep generative models for detector signature simulation: A taxonomic review}. In: Rev. Phys., 12, 2024, 100092
2024Campbell, J. M. and others: {Event generators for high-energy physics experiments}. In: SciPost Phys., 16, 2024, 130
2024Benato, Lisa and others: {FAIR Universe HiggsML Uncertainty Dataset and Competition}. 2024,
2024Das, Ranit and Favaro, Luigi and Heimel, Theo and Krause, Claudius and Plehn, Tilman and Shih, David: {How to understand limitations of generative networks}. In: SciPost Phys., 16, 2024, 031
2024Buckley, Matthew R. and Krause, Claudius and Pang, Ian and Shih, David: {Inductive simulation of calorimeter showers with normalizing flows}. In: Phys. Rev. D, 109, 2024, 033006
2024Golling, Tobias and Kasieczka, Gregor and Krause, Claudius and Mastandrea, Radha and Nachman, Benjamin and Raine, John Andrew and Sengupta, Debajyoti and Shih, David and Sommerhalder, Manuel: {The interplay of machine learning-based resonant anomaly detection methods}. In: Eur. Phys. J. C, 84, 2024, 241
2023Krause, Claudius and Shih, David: {Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation}. In: Phys. Rev. D, 107, 2023, 113004
2023Krause, Claudius and Shih, David: {Fast and accurate simulations of calorimeter showers with normalizing flows}. In: Phys. Rev. D, 107, 2023, 113003
2023Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Krause, Claudius and Shekhzadeh, Imahn and Shih, David: {L2LFlows: generating high-fidelity 3D calorimeter images}. In: JINST, 18, 2023, P10017
2023Badger, Simon and others: {Machine learning and LHC event generation}. In: SciPost Phys., 14, 2023, 079
2023Heimel, Theo and Winterhalder, Ramon and Butter, Anja and Isaacson, Joshua and Krause, Claudius and Maltoni, Fabio and Mattelaer, Olivier and Plehn, Tilman: {MadNIS - Neural multi-channel importance sampling}. In: SciPost Phys., 15, 2023, 141
2023Dorigo, Tommaso and others: {Toward the end-to-end optimization of particle physics instruments with differentiable programming}. In: Rev. Phys., 10, 2023, 100085
2022Hallin, Anna and Isaacson, Joshua and Kasieczka, Gregor and Krause, Claudius and Nachman, Benjamin and Quadfasel, Tobias and Schlaffer, Matthias and Shih, David and Sommerhalder, Manuel: {Classifying anomalies through outer density estimation}. In: Phys. Rev. D, 106, 2022, 055006
2022Aehle, Max and others: {Exploiting Differentiable Programming for the End-to-end Optimization of Detectors}. 2022,
2022Plehn, Tilman and Butter, Anja and Dillon, Barry and Heimel, Theo and Krause, Claudius and Winterhalder, Ramon: {Modern Machine Learning for LHC Physicists}. 2022,
2022Adelmann, Andreas and others: {New directions for surrogate models and differentiable programming for High Energy Physics detector simulation}. {Snowmass 2021}. 2022.
2022Shanahan, Phiala and others: {Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning}. 2022,
2021Buchalla, G. and Cat{\`a}, O. and Celis, A. and Knecht, M. and Krause, C.: {Higgs-electroweak chiral Lagrangian: One-loop renormalization group equations}. In: Phys. Rev. D, 104, 2021, 076005
2021Carena, Marcela and Krause, Claudius and Liu, Zhen and Wang, Yikun: {New approach to electroweak symmetry nonrestoration}. In: Phys. Rev. D, 104, 2021, 055016
2020Rosell, Ignasi and Krause, Claudius and Pich, Antonio and Sanz-Cillero, Juan Jos{\'e}: {Effective Theories and Resonances in Strongly-Coupled Electroweak Symmetry Breaking Scenarios}. In: PoS, EPS-HEP2019, 2020, 643
2020Gao, Christina and Höche, Stefan and Isaacson, Joshua and Krause, Claudius and Schulz, Holger: {Event Generation with Normalizing Flows}. In: Phys. Rev. D, 101, 2020, 076002
2020Gao, Christina and Isaacson, Joshua and Krause, Claudius: {i-flow: High-dimensional Integration and Sampling with Normalizing Flows}. In: Mach. Learn. Sci. Tech., 1, 2020, 045023
2019Krause, Claudius and Pich, Antonio and Rosell, Ignasi and Santos, Joaqu{\'\i}n and Sanz-Cillero, Juan Jos{\'e}: {Colorful Imprints of Heavy States in the Electroweak Effective Theory}. In: JHEP, 05, 2019, 092
2019Krause, Claudius and Buchalla, Gerhard and Cata, Oscar and Celis, Alejandro and Knecht, Marc: {Complete One-Loop Renormalization of the Higgs-Electroweak Chiral Lagrangian}. In: PoS, CD2018, 2019, 072
2019Rosell, Ignasi and Krause, Claudius and Pich, Antonio and Santos, Joaqu{\'\i}n and Sanz-Cillero, Juan Jos{\'e}: {Heavy resonances and the electroweak effective theory}. In: PoS, ICHEP2018, 2019, 316
2019Buchalla, Gerhard and Celis, Alejandro and Krause, Claudius and Toelstede, Jan-Niklas: {Master Formula for One-Loop Renormalization of Bosonic SMEFT Operators}. 2019,
2019Cepeda, M. and others: {Report from Working Group 2}: {Higgs Physics at the HL-LHC and HE-LHC}. In: CERN Yellow Rep. Monogr., 7, 2019, 221--584
2018Buchalla, G. and Cata, O. and Celis, A. and Knecht, M. and Krause, C.: {Complete One-Loop Renormalization of the Higgs-Electroweak Chiral Lagrangian}. In: Nucl. Phys. B, 928, 2018, 93--106
2018de Blas, Jorge and Eberhardt, Otto and Krause, Claudius: {Current and Future Constraints on Higgs Couplings in the Nonlinear Effective Theory}. In: JHEP, 07, 2018, 048
2018Chala, Mikael and Krause, Claudius and Nardini, Germano: {Signals of the electroweak phase transition at colliders and gravitational wave observatories}. In: JHEP, 07, 2018, 062
2018Rosell, Ignasi and Krause, Claudius and Pich, Antonio and Santos, Joaqu{\'\i}n and Sanz-Cillero, Juan Jos{\'e}: {Tracks of resonances in electroweak effective Lagrangians}. In: PoS, EPS-HEP2017, 2018, 334
2017de Florian, D. and others: {Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector}. In: CERN Yellow Rep. Monogr., 2, 2017, 1--869
2017Buchalla, G. and Cata, O. and Celis, A. and Krause, C.: {Standard Model Extended by a Heavy Singlet: Linear vs. Nonlinear EFT}. In: Nucl. Phys. B, 917, 2017, 209--233
2016Claudius Krause: Higgs Effective Field Theories - Systematics and Applications. PhD Thesis, 2016
2016Buchalla, G. and Cata, O. and Celis, A. and Krause, C.: {Comment on ''Analysis of General Power Counting Rules in Effective Field Theory''}. 2016,
2016Buchalla, G. and Cata, O. and Celis, A. and Krause, C.: {Fitting Higgs Data with Nonlinear Effective Theory}. In: Eur. Phys. J. C, 76, 2016, 233
2016de Florian, D. and others: {Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector}. 2016,
2015Buchalla, Gerhard and Cata, Oscar and Krause, Claudius: {A Systematic Approach to the SILH Lagrangian}. In: Nucl. Phys. B, 894, 2015, 602--620
2015Buchalla, G. and Cata, O. and Celis, A. and Krause, C.: {Note on Anomalous Higgs-Boson Couplings in Effective Field Theory}. In: Phys. Lett. B, 750, 2015, 298--301
2014Buchalla, Gerhard and Cat{\`a}, Oscar and Krause, Claudius: {Complete Electroweak Chiral Lagrangian with a Light Higgs at NLO}. In: Nucl. Phys. B, 880, 2014, 552--573
2014Buchalla, Gerhard and Cat{\'a}, Oscar and Krause, Claudius: {On the Power Counting in Effective Field Theories}. In: Phys. Lett. B, 731, 2014, 80--86