| 2026 | Favaro, Luigi and Giammanco, Andrea and Krause, Claudius: {A universal vision transformer for fast calorimeter simulations}. In: Mach. Learn. Sci. Tech., 7, 2026, 035052 |
|---|
| 2026 | Krause, Claudius and Wang, Daohan and Winterhalder, Ramon: {BitHEP {\textemdash} The limits of low-precision ML in HEP}. In: SciPost Phys., 20, 2026, 038 |
|---|
| 2026 | Buchalla, 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 |
|---|
| 2026 | Bothmann, 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, |
|---|
| 2026 | Barru{\'e}, Ricardo and others: {Proton Structure from Neural Simulation-Based Inference at the LHC}. 2026, |
|---|
| 2026 | Krause, Claudius and Winterhalder, Ramon and Feickert, Matthew and Nachman, Benjamin: {The Living Guide of Machine Learning for Particle Physics}. 2026, |
|---|
| 2025 | Amram, Oz and others: {CaloChallenge 2022: a community challenge for fast calorimeter simulation}. In: Rept. Prog. Phys., 88, 2025, 116201 |
|---|
| 2025 | Favaro, Luigi and Giammanco, Andrea and Krause, Claudius: {Fast, accurate, and precise detector simulation with vision transformers}. {2nd European AI for Fundamental Physics Conference}. 2025. |
|---|
| 2025 | He, Minxuan and Krause, Claudius and Wang, Daohan: {Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties}. 2025, |
|---|
| 2025 | Ernst, 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 |
|---|
| 2025 | Benato, 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 |
|---|
| 2025 | Du, 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 |
|---|
| 2025 | Hallin, 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, |
|---|
| 2024 | Krause, 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 |
|---|
| 2024 | Krause, Claudius and Pang, Ian and Shih, David: {CaloFlow for CaloChallenge dataset 1}. In: SciPost Phys., 16, 2024, 126 |
|---|
| 2024 | Bickendorf, 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 |
|---|
| 2024 | Buss, 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 |
|---|
| 2024 | Hashemi, Baran and Krause, Claudius: {Deep generative models for detector signature simulation: A taxonomic review}. In: Rev. Phys., 12, 2024, 100092 |
|---|
| 2024 | Campbell, J. M. and others: {Event generators for high-energy physics experiments}. In: SciPost Phys., 16, 2024, 130 |
|---|
| 2024 | Benato, Lisa and others: {FAIR Universe HiggsML Uncertainty Dataset and Competition}. 2024, |
|---|
| 2024 | Das, 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 |
|---|
| 2024 | Buckley, 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 |
|---|
| 2024 | Golling, 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 |
|---|
| 2023 | Krause, Claudius and Shih, David: {Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation}. In: Phys. Rev. D, 107, 2023, 113004 |
|---|
| 2023 | Krause, Claudius and Shih, David: {Fast and accurate simulations of calorimeter showers with normalizing flows}. In: Phys. Rev. D, 107, 2023, 113003 |
|---|
| 2023 | Diefenbacher, 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 |
|---|
| 2023 | Badger, Simon and others: {Machine learning and LHC event generation}. In: SciPost Phys., 14, 2023, 079 |
|---|
| 2023 | Heimel, 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 |
|---|
| 2023 | Dorigo, Tommaso and others: {Toward the end-to-end optimization of particle physics instruments with differentiable programming}. In: Rev. Phys., 10, 2023, 100085 |
|---|
| 2022 | Hallin, 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 |
|---|
| 2022 | Aehle, Max and others: {Exploiting Differentiable Programming for the End-to-end Optimization of Detectors}. 2022, |
|---|
| 2022 | Plehn, Tilman and Butter, Anja and Dillon, Barry and Heimel, Theo and Krause, Claudius and Winterhalder, Ramon: {Modern Machine Learning for LHC Physicists}. 2022, |
|---|
| 2022 | Adelmann, Andreas and others: {New directions for surrogate models and differentiable programming for High Energy Physics detector simulation}. {Snowmass 2021}. 2022. |
|---|
| 2022 | Shanahan, Phiala and others: {Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning}. 2022, |
|---|
| 2021 | Buchalla, 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 |
|---|
| 2021 | Carena, Marcela and Krause, Claudius and Liu, Zhen and Wang, Yikun: {New approach to electroweak symmetry nonrestoration}. In: Phys. Rev. D, 104, 2021, 055016 |
|---|
| 2020 | Rosell, 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 |
|---|
| 2020 | Gao, 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 |
|---|
| 2020 | Gao, 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 |
|---|
| 2019 | Krause, 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 |
|---|
| 2019 | Krause, 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 |
|---|
| 2019 | Rosell, 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 |
|---|
| 2019 | Buchalla, Gerhard and Celis, Alejandro and Krause, Claudius and Toelstede, Jan-Niklas: {Master Formula for One-Loop Renormalization of Bosonic SMEFT Operators}. 2019, |
|---|
| 2019 | Cepeda, 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 |
|---|
| 2018 | Buchalla, 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 |
|---|
| 2018 | de 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 |
|---|
| 2018 | Chala, Mikael and Krause, Claudius and Nardini, Germano: {Signals of the electroweak phase transition at colliders and gravitational wave observatories}. In: JHEP, 07, 2018, 062 |
|---|
| 2018 | Rosell, 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 |
|---|
| 2017 | de 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 |
|---|
| 2017 | Buchalla, 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 |
|---|
| 2016 | Claudius Krause: Higgs Effective Field Theories - Systematics and Applications. PhD Thesis, 2016 |
|---|
| 2016 | Buchalla, G. and Cata, O. and Celis, A. and Krause, C.: {Comment on ''Analysis of General Power Counting Rules in Effective Field Theory''}. 2016, |
|---|
| 2016 | Buchalla, 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 |
|---|
| 2016 | de Florian, D. and others: {Handbook of LHC Higgs Cross Sections: 4. Deciphering the
Nature of the Higgs Sector}. 2016, |
|---|
| 2015 | Buchalla, Gerhard and Cata, Oscar and Krause, Claudius: {A Systematic Approach to the SILH Lagrangian}. In: Nucl. Phys. B, 894, 2015, 602--620 |
|---|
| 2015 | Buchalla, 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 |
|---|
| 2014 | Buchalla, 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 |
|---|
| 2014 | Buchalla, Gerhard and Cat{\'a}, Oscar and Krause, Claudius: {On the Power Counting in Effective Field Theories}. In: Phys. Lett. B, 731, 2014, 80--86 |
|---|