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Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data

The European physical journal. C, Particles and fields, 2020-09, Vol.80 (9), p.1-12, Article 886

Kieseler, Jan

2020

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A method and tool for combining differential or inclusive measurements obtained with simultaneously constrained uncertainties

The European physical journal. C, Particles and fields, 2017-11, Vol.77 (11), p.1-12, Article 792

Kieseler, Jan

2017

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Learning representations of irregular particle-detector geometry with distance-weighted graph networks

The European physical journal. C, Particles and fields, 2019-07, Vol.79 (7), p.1-11, Article 608

2019

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Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks

The European physical journal. C, Particles and fields, 2022-01, Vol.82 (1), p.1-9, Article 92

2022

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Classifier surrogates: sharing AI-based searches with the world

The European physical journal. C, Particles and fields, 2024-09, Vol.84 (9), p.972-10, Article 972

2024

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Calorimetric Measurement of Multi-TeV Muons via Deep Regression

The European physical journal. C, Particles and fields, 2022-01, Vol.82 (1), p.1-26, Article 79

2022

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Top Quarks from Tevatron to the LHC

Symmetry (Basel), 2023-10, Vol.15 (10), p.1915

2023

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Running of the top quark mass at NNLO in QCD

The journal of high energy physics, 2024-04, Vol.2024 (4), p.125-10, Article 125

2024

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End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

The European physical journal. C, Particles and fields, 2022-08, Vol.82 (8), p.1-15, Article 753

2022

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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Frontiers in big data, 2021-01, Vol.3, p.598927-598927

2021

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Top-Quark Pair Production Cross Sections and Calibration of the Top-Quark Monte-Carlo Mass: Measurements Performed with the CMS Detector Using LHC Run I Proton-Proton Collision Data

Kieseler, Jan

1st ed. 2016., 2016

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Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks

EPJ Web of Conferences, 2021, Vol.251, p.3072

2021

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TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography

Machine learning: science and technology, 2024-09, Vol.5 (3), p.35002

2024

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Jet flavour classification using DeepJet

Journal of instrumentation, 2020-12, Vol.15 (12), p.P12012-P12012

2020

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Calibration of the Top-Quark Monte Carlo Mass

Physical review letters, 2016-04, Vol.116 (16), p.162001-162001, Article 162001

2016

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Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter

Journal of instrumentation, 2020-12, Vol.15 (12), p.P12006-P12006

2020

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Detecting long-lived particles trapped in detector material at the LHC

Physical review. D, 2022-03, Vol.105 (5), Article L051701

2022

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Measurement of the tt production cross section in the dilepton channel in proton-proton collisions at [radical]s = 8 TeV with the CMS experiment

Journal of physics. Conference series, 2013, Vol.452, p.1-3

Kieseler, Jan

2013

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GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter

Journal of physics. Conference series, 2023-02, Vol.2438 (1), p.12090

2023

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Measurement of the tt̄ production cross section in the dilepton channel in proton-proton collisions at = 8 TeV with the CMS experiment

Journal of physics. Conference series, 2013-07, Vol.452, p.12029

Kieseler, Jan

2013

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Isothermal annealing of radiation defects in silicon bulk material of diodes from 8” silicon wafers

Journal of instrumentation, 2023-09, Vol.18 (9), p.P09010

2023

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Toward Machine Learning Optimization of Experimental Design

Nuclear physics news, 2021, Vol.31 (1), p.25-28

2021

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Preamble

Top-Quark Pair Production Cross Sections and Calibration of the Top-Quark Monte-Carlo Mass, 2016, p.1-5

Kieseler, Jan

2016

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Introduction to Top Quark Production and Decay in Proton-Proton Collisions

Top-Quark Pair Production Cross Sections and Calibration of the Top-Quark Monte-Carlo Mass, 2016, p.7-26

Kieseler, Jan

2016

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Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data

A method and tool for combining differential or inclusive measurements obtained with simultaneously constrained uncertainties

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks

Classifier surrogates: sharing AI-based searches with the world

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

Top Quarks from Tevatron to the LHC

Running of the top quark mass at NNLO in QCD

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Top-Quark Pair Production Cross Sections and Calibration of the Top-Quark Monte-Carlo Mass: Measurements Performed with the CMS Detector Using LHC Run I Proton-Proton Collision Data

Toward the end-to-end optimization of particle physics instruments with differentiable programming

Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks

TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography

Jet flavour classification using DeepJet

Calibration of the Top-Quark Monte Carlo Mass

Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter

Detecting long-lived particles trapped in detector material at the LHC

Measurement of the tt production cross section in the dilepton channel in proton-proton collisions at [radical]s = 8 TeV with the CMS experiment

GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter

Measurement of the tt̄ production cross section in the dilepton channel in proton-proton collisions at = 8 TeV with the CMS experiment

Isothermal annealing of radiation defects in silicon bulk material of diodes from 8” silicon wafers

Toward Machine Learning Optimization of Experimental Design

Preamble

Introduction to Top Quark Production and Decay in Proton-Proton Collisions

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