| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
|
Sirunyan, A. M.
|
|
|
4 |
1 |
|
artikel
|
| 2 |
Allen: A High-Level Trigger on GPUs for LHCb
|
Aaij, R.
|
|
|
4 |
1 |
|
artikel
|
| 3 |
A Pattern Recognition Algorithm for Quantum Annealers
|
Bapst, Frédéric
|
|
|
4 |
1 |
p. 1-7
|
artikel
|
| 4 |
A Pattern Recognition Algorithm for Quantum Annealers
|
Bapst, Frédéric
|
|
|
4 |
1 |
|
artikel
|
| 5 |
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC
|
Andrews, M.
|
|
|
4 |
1 |
|
artikel
|
| 6 |
High-Throughput Cloud Computing with the Cloudscheduler VM Provisioning Service
|
Berghaus, F.
|
|
|
4 |
1 |
|
artikel
|
| 7 |
High-Throughput Cloud Computing with the Cloudscheduler VM Provisioning Service
|
Berghaus, F.
|
|
|
4 |
1 |
|
artikel
|
| 8 |
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
|
Migliorini, M.
|
|
|
4 |
1 |
|
artikel
|
| 9 |
MadMiner: Machine Learning-Based Inference for Particle Physics
|
Brehmer, Johann
|
|
|
4 |
1 |
|
artikel
|
| 10 |
Optimizing Cherenkov Photons Generation and Propagation in CORSIKA for CTA Monte–Carlo Simulations
|
Arrabito, Luisa
|
|
|
4 |
1 |
|
artikel
|
| 11 |
Quantum Computing: Advancing Fundamental Physics
|
Spentzouris, Panagiotis
|
|
|
4 |
1 |
|
artikel
|
| 12 |
Reducing the Dependence of the Neural Network Function to Systematic Uncertainties in the Input Space
|
Wunsch, Stefan
|
|
|
4 |
1 |
|
artikel
|
| 13 |
Reducing the Dependence of the Neural Network Function to Systematic Uncertainties in the Input Space
|
Wunsch, Stefan
|
|
|
4 |
1 |
|
artikel
|
| 14 |
Review of High-Quality Random Number Generators
|
James, Frederick
|
|
|
4 |
1 |
|
artikel
|
| 15 |
Review of High-Quality Random Number Generators
|
James, Frederick
|
|
|
4 |
1 |
|
artikel
|
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