Built on

Otten S, Caron S, de Swart W, van Beekveld M, Hendriks L, van Leeuwen C, Podareanu D, de Austri R R and Verheyen R 2019 Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer
Original
1901
Earlier work this paper cites.
Salimans T, Goodfellow I, Zaremba W, Cheung V, Radford A and Chen X 2016 Improved Techniques for Training GANs
Original
1909
Earlier work this paper cites.
Belayneh D et al
Original
1912
Earlier work this paper cites.
Papamakarios G, Nalisnick E, Rezende D J, Mohamed S and Lakshminarayanan B 2019 Normalizing Flows for Probabilistic Modeling and Inference
Original
1912
Earlier work this paper cites.
Voloshynovskiy S, Kondah M, Rezaeifar S, Taran O, Holotyak T and Rezende D J 2019 Information bottleneck through variational glasses
Original
1912
Earlier work this paper cites.
Parzen E 1962 On Estimation of a Probability Density Function and Mode
1962
Earlier work this paper cites.
Agostinelli S et al
2003
Earlier work this paper cites.
Abramowicz H et al
Original
2003
Earlier work this paper cites.
2005.05334
Original
Buhmann E, Diefenbacher S, Eren E, Gaede F, Kasieczka G, Korol A and Krüger K 2021 Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed · 2005
Earlier work this paper cites.
Butter A, Diefenbacher S, Kasieczka G, Nachman B and Plehn T 2020 GANplifying Event Samples
Original
2008
Earlier work this paper cites.
Butter A and Plehn T 2020 Generative Networks for LHC events
Original
2008
Earlier work this paper cites.
Gretton A, Borgwardt K M, Rasch M J, Schölkopf B and Smola A J 2008 A Kernel Method for the Two-Sample Problem
Original
2008
Earlier work this paper cites.
Cédric V 2009 Optimal Transport: Old and New
2009
Earlier work this paper cites.
Adloff C et al
2010
Earlier work this paper cites.
Adloff C et al
2011
Earlier work this paper cites.
Adloff C et al
2013
Earlier work this paper cites.
1406.2661 URL https://dl.acm.org/doi/10.5555/2969033.2969125
Original
Goodfellow I J et al · 2014
Earlier work this paper cites.

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Rezende D J and Mohamed S 2015 Variational Inference with Normalizing Flows · 2015
Cited alongside, same era.

Then

ATLAS Collaboration 2018 Deep generative models for fast shower simulation in ATLAS
2018
Later among the works it cites.
Hara K, Kataoka H and Satoh Y 2018 Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
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Later among the works it cites.
1712.06982
Original
Albrecht J et al · 2019
Later among the works it cites.
1807.01954
Original
Erdmann M, Glombitza J and Quast T 2019 Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network · 2019
Later among the works it cites.
ATLAS Collaboration 2019 VAE for photon shower simulation in ATLAS
2019
Later among the works it cites.

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Reading the bibliography…

2021

Hadrons, Better, Faster, Stronger

Buhmann, Erik, Diefenbacher, Sascha, Eren, Engin et al.

Understand

Motivated by the computational limitations of simulating interactions of particles in highly-granular detectors, there exists a concerted effort to build fast and exact machine-learning-based shower simulators.

This work reports progress on two important fronts.
First, the previously investigated WGAN and BIB-AE generative models are improved and successful learning of hadronic showers initiated by charged pions in a segment of the hadronic calorimeter of the International Large Detector (ILD) is demonstrated for the first time.
Second, we consider how state-of-the-art reconstruction software applied to generated shower energies affects the obtainable energy response and resolution.

Built on

Otten S, Caron S, de Swart W, van Beekveld M, Hendriks L, van Leeuwen C, Podareanu D, de Austri R R and Verheyen R 2019 Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer
Original
1901
Earlier work this paper cites.
Salimans T, Goodfellow I, Zaremba W, Cheung V, Radford A and Chen X 2016 Improved Techniques for Training GANs
Original
1909
Earlier work this paper cites.
Belayneh D et al
Original
1912
Earlier work this paper cites.
Papamakarios G, Nalisnick E, Rezende D J, Mohamed S and Lakshminarayanan B 2019 Normalizing Flows for Probabilistic Modeling and Inference
Original
1912
Earlier work this paper cites.
Voloshynovskiy S, Kondah M, Rezaeifar S, Taran O, Holotyak T and Rezende D J 2019 Information bottleneck through variational glasses
Original
1912
Earlier work this paper cites.
Parzen E 1962 On Estimation of a Probability Density Function and Mode
1962
Earlier work this paper cites.
Agostinelli S et al
2003
Earlier work this paper cites.
Abramowicz H et al
Original
2003
Earlier work this paper cites.
2005.05334
Original
Buhmann E, Diefenbacher S, Eren E, Gaede F, Kasieczka G, Korol A and Krüger K 2021 Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed · 2005
Earlier work this paper cites.
Butter A, Diefenbacher S, Kasieczka G, Nachman B and Plehn T 2020 GANplifying Event Samples
Original
2008
Earlier work this paper cites.
Butter A and Plehn T 2020 Generative Networks for LHC events
Original
2008
Earlier work this paper cites.
Gretton A, Borgwardt K M, Rasch M J, Schölkopf B and Smola A J 2008 A Kernel Method for the Two-Sample Problem
Original
2008
Earlier work this paper cites.
Cédric V 2009 Optimal Transport: Old and New
2009
Earlier work this paper cites.
Adloff C et al
2010
Earlier work this paper cites.
Adloff C et al
2011
Earlier work this paper cites.
Adloff C et al
2013
Earlier work this paper cites.
1406.2661 URL https://dl.acm.org/doi/10.5555/2969033.2969125
Original
Goodfellow I J et al · 2014
Earlier work this paper cites.

Similar

Kingma D P and Welling M 2014 Auto-Encoding Variational Bayes
Original
2014
Cited alongside, same era.
Dinh L, Krueger D and Bengio Y 2014 NICE: Non-linear Independent Components Estimation
Original
2014
Cited alongside, same era.
Frank M, Gaede F, Grefe C and Mato P 2014 DD4hep: A Detector Description Toolkit for High Energy Physics Experiments
2014
Cited alongside, same era.
Jansky R 2015 The ATLAS Fast Monte Carlo Production Chain Project
2015
Cited alongside, same era.
1505.05770
Original
Rezende D J and Mohamed S 2015 Variational Inference with Normalizing Flows · 2015
Cited alongside, same era.

Then

ATLAS Collaboration 2018 Deep generative models for fast shower simulation in ATLAS
2018
Later among the works it cites.
Hara K, Kataoka H and Satoh Y 2018 Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
2018
Later among the works it cites.
1712.06982
Original
Albrecht J et al · 2019
Later among the works it cites.
1807.01954
Original
Erdmann M, Glombitza J and Quast T 2019 Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network · 2019
Later among the works it cites.
ATLAS Collaboration 2019 VAE for photon shower simulation in ATLAS
2019
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Marshall J S and Thomson M A 2015 The Pandora software development kit for pattern recognition

2015

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Kingma D P and Ba J 2015 Adam: A Method for Stochastic Optimization

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Dinh L, Sohl-Dickstein J and Bengio S 2016 Density estimation using Real NVP

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de Oliveira L, Paganini M and Nachman B 2017 Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis · 2017

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Arjovsky M, Chintala S and Bottou L 2017 Wasserstein GAN

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Ghosh A (ATLAS Collaboration) 2019 Deep generative models for fast shower simulation in ATLAS

2019

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Carminati F, Khattak G, Loncar V, Nguyen T Q, Pierini M, Brito Da Rocha R, Samaras-Tsakiris K, Vallecorsa S and Vlimant J R 2020 Generative Adversarial Networks for fast simulation

2020

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Harris C R, Millman K J, van der Walt S J, Gommers R, Virtanen P, Cournapeau D, Wieser E, Taylor J, Berg S, Smith N J, Kern R, Picus M, Hoyer S, van Kerkwijk M H, Brett M, Haldane A, del Río J F, Wiebe M, Peterson P, Gérard-Marchant P, Sheppard K, Reddy T, Weckesser W, Abbasi H, Gohlke C and Oliphant T E 2020 Array programming with NumPy

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Buhmann E, Diefenbacher S, Eren E, Gaede F, Kasieczka G, Korol A and Krüger K 2021 Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network · 2021

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