Bob Stienen

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All published works
Action Title Year Authors
+ PDF Chat Machine learning and LHC event generation 2023 Anja Butter
Tilman Plehn
S. Schumann
Simon Badger
S. Caron
K. Cranmer
F. A. Di Bello
E. Dreyer
Stefano Forte
Sanmay Ganguly
+ PDF Chat Report on 2203.07460v1 2022 Anja Butter
Tilman Plehn
S. Schumann
Simon Badger
S. Caron
K. Cranmer
Francesco Armando
Di Bello
E. Dreyer
Stefano Forte
+ Machine Learning and LHC Event Generation 2022 Anja Butter
Tilman Plehn
S. Schumann
Simon Badger
S. Caron
K. Cranmer
F. A. Di Bello
E. Dreyer
Stefano Forte
Sanmay Ganguly
+ PDF Chat Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data 2021 F. Diblen
Luc Hendriks
Bob Stienen
S. Caron
Rena Bakhshi
Jisk Attema
+ PDF Chat A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications 2021 Csaba Balázs
Melissa van Beekveld
S. Caron
Barry M. Dillon
Ben Farmer
Andrew Fowlie
Eduardo C. Garrido-Merchán
Will Handley
Luc Hendriks
G. Jóhannesson
+ PDF Chat Phase space sampling and inference from weighted events with autoregressive flows 2021 Bob Stienen
Rob Verheyen
+ A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications 2021 Csaba Balázs
Melissa van Beekveld
S. Caron
Barry M. Dillon
Ben Farmer
Andrew Fowlie
Eduardo C. Garrido-Merchán
Will Handley
Luc Hendriks
G. Jóhannesson
+ PDF Chat Report on 2011.13445v1 2021 Bob Stienen
Rob Verheyen
+ Interactive web-based visualization of multi-dimensional physical and astronomical data 2020 F. Diblen
Luc Hendriks
Bob Stienen
S. Caron
Rena Bakhshi
Jisk Attema
+ Interactive web-based visualization of multi-dimensional physical and astronomical data 2020 F. Diblen
Luc Hendriks
Bob Stienen
S. Caron
Rena Bakhshi
Jisk Attema
+ PDF Chat Constraining the parameters of high-dimensional models with active learning 2019 S. Caron
Tom Heskes
Sydney Otten
Bob Stienen
+ PDF Chat spot: Open Source framework for scientific data repository and interactive visualization 2019 F. Diblen
Jisk Attema
Rena Bakhshi
S. Caron
Luc Hendriks
Bob Stienen
+ Machine Learning in High Energy Physics Community White Paper 2018 Kim Albertsson
Piero Altoè
Dustin Anderson
Michael Benjamin Andrews
Juan Pedro Araque Espinosa
A. Aurisano
L. Basara
A. J. Bevan
W. Bhimji
Daniele Bonacorsi
+ Machine Learning in High Energy Physics Community White Paper 2018 Kim Albertsson
Piero Altoè
Dustin Anderson
John Anderson
Michael Benjamin Andrews
Juan Pedro Araque Espinosa
A. Aurisano
L. Basara
A. J. Bevan
W. Bhimji
+ SPOT: Open Source framework for scientific data repository and interactive visualization 2018 F. Diblen
Jisk Attema
Rena Bakhshi
S. Caron
Luc Hendriks
Bob Stienen
+ PDF Chat The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning 2017 S. Caron
Jong Soo Kim
Krzysztof Rolbiecki
Roberto Ruiz de Austri
Bob Stienen
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations 2014 Johan Alwall
Rikkert Frederix
Stefano Frixione
Valentin Hirschi
Fabio Maltoni
Olivier Mattelaer
Hua-Sheng Shao
T. Stelzer
Paolo Torrielli
Marco Zaro
8
+ PDF Chat CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks 2018 M. Paganini
Luke de Oliveira
Benjamin Nachman
6
+ PDF Chat Summary of the ATLAS experiment’s sensitivity to supersymmetry after LHC Run 1 — interpreted in the phenomenological MSSM 2015 G. Aad
B. Abbott
J. Abdallah
O. Abdinov
R. Aben
M. Abolins
O. S. AbouZeid
H. Abramowicz
H. Abreu
R. Abreu
5
+ An introduction to PYTHIA 8.2 2015 Torbjörn Sjöstrand
Stefan Ask
J. Christiansen
Richard Corke
Nishita Desai
P. Ilten
S. Mrenna
Stefan Prestel
Christine O. Rasmussen
Peter Skands
5
+ Unfolding with Generative Adversarial Networks 2018 K. Datta
D. Kar
D. Roy
4
+ PDF Chat Vegas revisited: Adaptive Monte Carlo integration beyond factorization 1999 Thorsten Ohl
4
+ PDF Chat Neural network-based approach to phase space integration 2020 Matthew D. Klimek
Maxim Perelstein
4
+ Variational Autoencoders for Jet Simulation 2020 Kosei Dohi
4
+ PDF Chat Exhaustive neural importance sampling applied to Monte Carlo event generation 2020 Sebastian Pina-Otey
F. Sánchez
T. Lux
V. Gaitan
4
+ PDF Chat Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed 2021 Erik Buhmann
Sascha Diefenbacher
Engin Eren
Frank Gaede
Gregor Kasieczka
Anatolii Korol
K. Krüger
4
+ PDF Chat Using neural networks for efficient evaluation of high multiplicity scattering amplitudes 2020 Simon Badger
Joseph Aylett-Bullock
4
+ PDF Chat Improved neural network Monte Carlo simulation 2021 I. Chen
Matthew D. Klimek
Maxim Perelstein
4
+ PDF Chat DELPHES 3: a modular framework for fast simulation of a generic collider experiment 2014 J. de Favereau
C. Delaere
P. Demin
A. Giammanco
V. Lemaı̂tre
A. Mertens
M. Selvaggi
4
+ PDF Chat Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters 2018 M. Paganini
Luke de Oliveira
Benjamin Nachman
4
+ PDF Chat Parton distributions for the LHC run II 2015 Richard D. Ball
Valerio Bertone
Stefano Carrazza
Christopher S. Deans
Luigi Del Debbio
Stefano Forte
Alberto Guffanti
Nathan P. Hartland
José I. Latorre
Juan Rojo
4
+ PDF Chat Event generation with normalizing flows 2020 Christina Gao
Stefan Höche
Joshua Isaacson
Claudius Krause
H. Schulz
4
+ LHC analysis-specific datasets with Generative Adversarial Networks 2019 B. Hashemi
N. Amin
K. Datta
D. Olivito
M. Pierini
4
+ PDF Chat Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks 2018 M. Erdmann
Lukas Geiger
Jonas Glombitza
David Schmidt
4
+ Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description 2020 Jesús Arjona Martínez
T. Q. Nguyen
M. Pierini
M. Spiropulu
Jean-Roch Vlimant
4
+ PDF Chat Exploring phase space with Neural Importance Sampling 2020 Enrico Bothmann
Timo Janßen
Max Knobbe
Tobias Schmale
S. Schumann
4
+ PDF Chat How to GAN event subtraction 2020 Anja Butter
Tilman Plehn
Ramon Winterhalder
4
+ PDF Chat Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network 2019 M. Erdmann
Jonas Glombitza
Thorben Quast
4
+ PDF Chat DijetGAN: a Generative-Adversarial Network approach for the simulation of QCD dijet events at the LHC 2019 R. Di Sipio
M. Faucci Giannelli
Sana Ketabchi Haghighat
S. Palazzo
4
+ Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks 2017 J. Bendavid
4
+ A new algorithm for adaptive multidimensional integration 1978 G. Peter Lepage
4
+ PDF Chat Generative Adversarial Networks 2022 Ian J. Goodfellow
Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
3
+ (Machine) Learning amplitudes for faster event generation 2019 Fady Bishara
Marc Montull
3
+ PDF Chat How to GAN away detector effects 2020 Marco Bellagente
Anja Butter
Gregor Kasieczka
Tilman Plehn
Ramon Winterhalder
3
+ PDF Chat Invertible networks or partons to detector and back again 2020 Marco Bellagente
Anja Butter
Gregor Kasieczka
Tilman Plehn
Armand Rousselot
Ramon Winterhalder
Lynton Ardizzone
Ullrich Köthe
3
+ PDF Chat Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques 2012 A. G. Buckley
Alistair Shilton
M. J. White
3
+ Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks 2017 Joshua Bendavid
3
+ What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 2017 Alex Kendall
Yarin Gal
3
+ PDF Chat The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning 2017 S. Caron
Jong Soo Kim
Krzysztof Rolbiecki
Roberto Ruiz de Austri
Bob Stienen
3
+ PDF Chat A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques 2011 Michael Bridges
K. Cranmer
Farhan Feroz
M. P. Hobson
Roberto Ruiz de Austri
Roberto Trotta
3
+ PDF Chat Determination of the CMSSM parameters using neural networks 2013 Nicki Bornhauser
Manuel Drees
3
+ Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC 2012 S. Chatrchyan
V. Khachatryan
A. M. Sirunyan
A. Tumasyan
W. Adam
E. Aguiló
T. Bergauer
M. Dragicevic
J. Erö
C. Fabjan
3
+ PDF Chat An updated analysis of Inert Higgs Doublet Model in light of the recent results from LUX, PLANCK, AMS-02 and LHC 2014 Abdesslam Arhrib
Yue-Lin Sming Tsai
Qiang Yuan
Tzu-Chiang Yuan
2
+ PDF Chat How well will ton-scale dark matter direct detection experiments constrain minimal supersymmetry? 2011 Y. Akrami
Christopher Savage
Pat Scott
Jan Conrad
Joakim Edsjö
2
+ PDF Chat Identification of dark matter particles with LHC and direct detection data 2010 Gianfranco Bertone
D. G. Cerdeño
Mattia Fornasa
Roberto Ruiz de Austri
Roberto Trotta
2
+ PDF Chat Importance Nested Sampling and the MultiNest Algorithm 2019 Farhan Feroz
M. P. Hobson
Ewan Cameron
A. N. Pettitt
2
+ Numerical integration based on a neural network algorithm 2006 Zhezhao Zeng
Wang Yao-nan
Wen Hui
2
+ The pMSSM10 after LHC run 1 2015 K. J. de Vries
Emanuele Bagnaschi
O. L. Buchmueller
R. Cavanaugh
M. Citron
A. De Roeck
Matthew J. Dolan
John Ellis
H. Flächer
S. Heinemeyer
2
+ MINT: a Computer Program for Adaptive Monte Carlo Integration and Generation of Unweighted Distributions 2007 Paolo Nason
2
+ PDF Chat GUT-inspired SUSY and the muon g − 2 anomaly: prospects for LHC 14 TeV 2015 Kamila Kowalska
Leszek Roszkowski
Enrico Maria Sessolo
Andrew J. Williams
2
+ PDF Chat Automation of the matrix element reweighting method 2010 Pierre Artoisenet
Vincent Lemaître
Fabio Maltoni
Olivier Mattelaer
2
+ PDF Chat Implications of the Higgs boson discovery for mSUGRA 2012 Sujeet Akula
Pran Nath
Gregory Peim
2
+ PDF Chat Search for the Standard Model Higgs boson produced in association with top quarks and decaying into $$\varvec{b\bar{b}}$$ b b ¯ in $$\varvec{pp}$$ p p collisions at $$\sqrt{\mathbf{s}}= \varvec{8{{\,\mathrm TeV}}}$$ s = 8 T e V with the ATLAS detector 2015 G. Aad
B. Abbott
J. Abdallah
O. Abdinov
R. Aben
M. Abolins
O. S. AbouZeid
H. Abramowicz
H. Abreu
R. Abreu
2
+ PDF Chat The Monte Carlo event generator AcerMC versions 2.0 to 3.8 with interfaces to PYTHIA 6.4, HERWIG 6.5 and ARIADNE 4.1 2012 B. P. Kerševan
E. Richter-Wąs
2
+ PDF Chat Precision measurement of the top-quark mass from dilepton events at CDF II 2007 A. Abulencia
J. Adelman
A. A. Affolder
T. Akimoto
M. Albrow
D. Ambrose
S. Amerio
D. Amidei
A. Anastassov
K. Anikeev
2
+ PDF Chat Neural network parametrization of deep-inelastic structure functions 2002 Stefano Forte
L. Garrido
José I. Latorre
Andrea Piccione
2