Lund jet images from generative and cycle-consistent adversarial networks | Paper Citation Record

Observation d5d4ba8b-979a-4b99-89d9-a48db86d59d7 · outbound

This paper cites Sterman, S.

Lund jet images from generative and cycle-consistent adversarial networks Sterman, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:55.742116Z

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Observation e198386b-c22d-4995-8728-caf030ae971d · outbound

This paper cites Towards Jetography.

Lund jet images from generative and cycle-consistent adversarial networks Towards Jetography

Reference 2

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Observation 114354f2-c7d3-4a63-8f80-1a7d8d5c2d8c · outbound

This paper cites Successive Combination Jet Algorithm For Hadron Collisions.

Lund jet images from generative and cycle-consistent adversarial networks Successive Combination Jet Algorithm For Hadron Collisions

Reference 3

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Observation 0124a210-e178-488a-a37b-dcd0454fb3ec · outbound

This paper cites Better Jet Clustering Algorithms.

Lund jet images from generative and cycle-consistent adversarial networks Better Jet Clustering Algorithms

Reference 4

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Observation 7c33790a-1d10-4fa8-9621-3429e5c4ccf3 · outbound

This paper cites The anti-k_t jet clustering algorithm.

Lund jet images from generative and cycle-consistent adversarial networks The anti-k_t jet clustering algorithm

Reference 5

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Observation c4eb976e-8c79-4edd-912a-2dbb24fac8b2 · outbound

This paper cites Strategies to Identify Boosted Tops.

Lund jet images from generative and cycle-consistent adversarial networks Strategies to Identify Boosted Tops

Reference 6

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Observation 539992f6-5ce2-4533-971b-b2d7bc9199a5 · outbound

This paper cites Top-tagging: A Method for Identifying Boosted Hadronic Tops.

Lund jet images from generative and cycle-consistent adversarial networks Top-tagging: A Method for Identifying Boosted Hadronic Tops

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.763514Z

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Observation 3c80d4f5-6e74-4e16-8ab3-04e5933167ff · outbound

This paper cites Techniques for improved heavy particle searches with jet substructure.

Lund jet images from generative and cycle-consistent adversarial networks Techniques for improved heavy particle searches with jet substructure

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.767748Z

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Observation ee21867d-a407-4402-a375-003de26035be · outbound

This paper cites Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches.

Lund jet images from generative and cycle-consistent adversarial networks Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.773171Z

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Observation a4d81fd7-8bda-48a1-8684-936ac025ca11 · outbound

This paper cites Fat Jets for a Light Higgs.

Lund jet images from generative and cycle-consistent adversarial networks Fat Jets for a Light Higgs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.777317Z

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Observation a61e7e44-39bd-488c-b0f5-071e245b5fd5 · outbound

This paper cites Identifying Boosted Objects with N-subjettiness.

Lund jet images from generative and cycle-consistent adversarial networks Identifying Boosted Objects with N-subjettiness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.781261Z

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Observation 500820e5-f38e-4506-ab22-b2556fba730a · outbound

This paper cites Energy Correlation Functions for Jet Substructure.

Lund jet images from generative and cycle-consistent adversarial networks Energy Correlation Functions for Jet Substructure

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.785208Z

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Observation c64cace9-6989-426c-b6e6-f0b9e8d4ae5e · outbound

This paper cites Telescoping Jets: Multiple Event Interpretations with Multiple R's.

Lund jet images from generative and cycle-consistent adversarial networks Telescoping Jets: Multiple Event Interpretations with Multiple R's

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:24:55.531517Z

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Observation 1b4459b9-14e2-466d-82be-647291afcaed · outbound

This paper cites SoftKiller, a particle-level pileup removal method.

Lund jet images from generative and cycle-consistent adversarial networks SoftKiller, a particle-level pileup removal method

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.793615Z

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Observation a6b422ec-2ec1-487c-8d7b-bb4c7b18d744 · outbound

This paper cites Power Counting to Better Jet Observables.

Lund jet images from generative and cycle-consistent adversarial networks Power Counting to Better Jet Observables

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.797740Z

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Observation 7262b575-310e-4c3b-b1d4-b65d5a247bfa · outbound

This paper cites New Angles on Energy Correlation Functions.

Lund jet images from generative and cycle-consistent adversarial networks New Angles on Energy Correlation Functions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.801528Z

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Observation 774a8c4e-d7f9-4ed7-aeaf-3eacd1743cb9 · outbound

This paper cites Towards an understanding of jet substructure.

Lund jet images from generative and cycle-consistent adversarial networks Towards an understanding of jet substructure

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.805636Z

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Observation c6742c01-f8d4-446c-9fa1-2ff033a0b63c · outbound

This paper cites Soft Drop.

Lund jet images from generative and cycle-consistent adversarial networks Soft Drop

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.809631Z

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Observation fb553bb5-c445-451f-afcb-affd9d854747 · outbound

This paper cites Pileup Mitigation with Machine Learning (PUMML).

Lund jet images from generative and cycle-consistent adversarial networks Pileup Mitigation with Machine Learning (PUMML)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.813634Z

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Observation 19f973d0-cf0f-468f-9454-ece21e8b87b5 · outbound

This paper cites Energy flow polynomials: A complete linear basis for jet substructure.

Lund jet images from generative and cycle-consistent adversarial networks Energy flow polynomials: A complete linear basis for jet substructure

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.817613Z

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Observation c4893a1d-ce89-4a8c-8923-7efce08e1d7a · outbound

This paper cites Recursive Soft Drop.

Lund jet images from generative and cycle-consistent adversarial networks Recursive Soft Drop

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.821767Z

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Observation 589c0166-d616-4022-b403-ddd3f494c8f4 · outbound

This paper cites The Lund Jet Plane.

Lund jet images from generative and cycle-consistent adversarial networks The Lund Jet Plane

Reference 22

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Observation f437b81b-f084-4c99-811c-acc3110bc7f8 · outbound

This paper cites The Machine Learning Landscape of Top Taggers.

Lund jet images from generative and cycle-consistent adversarial networks The Machine Learning Landscape of Top Taggers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.829353Z

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Observation 03d20568-05ec-4e02-ba07-ab7edb1f2e10 · outbound

This paper cites Jet grooming through reinforcement learning.

Lund jet images from generative and cycle-consistent adversarial networks Jet grooming through reinforcement learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:24:55.417034Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c17f816-e80b-4287-aa6b-cb1adacc4563 · outbound

This paper cites Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction.

Lund jet images from generative and cycle-consistent adversarial networks Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.837113Z

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Observation 25df8da9-bccf-4319-a42d-14c0ff831c45 · outbound

This paper cites JEDI-net: a jet identification algorithm based on interaction networks.

Lund jet images from generative and cycle-consistent adversarial networks JEDI-net: a jet identification algorithm based on interaction networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.840934Z

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Observation 1dae0238-30ba-486b-85d9-85985967300f · outbound

This paper cites Revisiting Radiation Patterns in $e^+e^-$ Collisions.

Lund jet images from generative and cycle-consistent adversarial networks Revisiting Radiation Patterns in $e^+e^-$ Collisions

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:24:55.380939Z

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Observation f6c37539-50de-41a7-903b-b7459600f98c · outbound

This paper cites Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report.

Lund jet images from generative and cycle-consistent adversarial networks Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.848504Z

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Observation bfbaf6f8-07fe-4bf1-be99-04714d3f31ca · outbound

This paper cites Goodfellow, J.

Lund jet images from generative and cycle-consistent adversarial networks Goodfellow, J

Reference 29

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Observation feca89f0-56b5-45d5-bd95-591e8732fc22 · outbound

This paper cites Auto-Encoding Variational Bayes.

Lund jet images from generative and cycle-consistent adversarial networks Auto-Encoding Variational Bayes

Reference 30

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Observation 1f2a13f5-a293-47ac-a220-a9a0473d4f45 · outbound

This paper cites Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis.

Lund jet images from generative and cycle-consistent adversarial networks Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.859697Z

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Observation 4fbb1969-fdfd-4fd7-83d3-853b0a83f367 · outbound

This paper cites Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters.

Lund jet images from generative and cycle-consistent adversarial networks Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.863655Z

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Observation ed46d525-798c-4dfd-a2ab-e44c672b9fc6 · outbound

This paper cites CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks.

Lund jet images from generative and cycle-consistent adversarial networks CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.868094Z

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Observation 5c27e174-d8cf-47c7-8b0e-9e036063cdbb · outbound

This paper cites Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer.

Lund jet images from generative and cycle-consistent adversarial networks Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.871892Z

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Observation bd518139-9acd-432c-9bf9-9349e04dd831 · outbound

This paper cites Fast and accurate simulation of particle detectors using generative adversarial networks.

Lund jet images from generative and cycle-consistent adversarial networks Fast and accurate simulation of particle detectors using generative adversarial networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.875496Z

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Observation 1859cdf9-2077-4405-87bb-72661ec197ce · outbound

This paper cites Unfolding with Generative Adversarial Networks.

Lund jet images from generative and cycle-consistent adversarial networks Unfolding with Generative Adversarial Networks

Reference 36

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Observation eb0db607-ba7e-47ee-b274-aee6bcb0bd3e · outbound

This paper cites Variational Autoencoders for New Physics Mining at the Large Hadron Collider.

Lund jet images from generative and cycle-consistent adversarial networks Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.883275Z

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Observation 2d33b3df-6493-4d4b-b866-77ce5fb82633 · outbound

This paper cites DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC.

Lund jet images from generative and cycle-consistent adversarial networks DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.887118Z

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Observation 94c7a826-1c3d-4ccd-bf1d-4b9f5630b4ae · outbound

This paper cites How to GAN LHC Events.

Lund jet images from generative and cycle-consistent adversarial networks How to GAN LHC Events

Reference 39

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Observation dcef5f36-8573-437f-844e-a34ddd606a09 · outbound

This paper cites collaboration (ATLAS) (2019).

Lund jet images from generative and cycle-consistent adversarial networks collaboration (ATLAS) (2019)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:55.720199Z

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Observation b99af4ed-0e64-40d9-9504-823dbde4ef56 · outbound

This paper cites Least Squares Generative Adversarial Networks.

Lund jet images from generative and cycle-consistent adversarial networks Least Squares Generative Adversarial Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.898843Z

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This paper cites An Introduction to PYTHIA 8.2.

Lund jet images from generative and cycle-consistent adversarial networks An Introduction to PYTHIA 8.2

Reference 43

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This paper cites DELPHES 3, A modular framework for fast simulation of a generic collider experiment.

Lund jet images from generative and cycle-consistent adversarial networks DELPHES 3, A modular framework for fast simulation of a generic collider experiment

Reference 44

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Observation 1b08384a-ebe2-49ae-b2db-0adbd0d9e0b4 · outbound

This paper cites Arjovsky, S.

Lund jet images from generative and cycle-consistent adversarial networks Arjovsky, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:55.708465Z

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This paper cites an unresolved cited work.

Lund jet images from generative and cycle-consistent adversarial networks Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:24:55.696459Z

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Observation 466e5f9a-ecaa-4307-a8b2-414f8217bf8d · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics.

Lund jet images from generative and cycle-consistent adversarial networks Fast inference of deep neural networks in FPGAs for particle physics

Reference 47

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Observation 7fd69db8-62d1-4f42-b3af-bc48689c5b83 · outbound

This paper cites Dreyer, S.

Lund jet images from generative and cycle-consistent adversarial networks Dreyer, S

Reference 48

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Observation 0f9b4bc5-856c-4e2c-b90e-c7158388b7fd · outbound

This paper cites Dreyer, S.

Lund jet images from generative and cycle-consistent adversarial networks Dreyer, S

Reference 49

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Observation 9f3a96fe-8154-469e-8329-2d038a840fe7 · outbound

This paper cites Carrazza, F.A.

Lund jet images from generative and cycle-consistent adversarial networks Carrazza, F.A

Reference 50

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Observation 1392939e-8da5-46ab-b57f-46f98b19813d · outbound

This paper cites Hadronization Corrections to Jet Cross Sections in Deep-Inelastic Scattering.

Lund jet images from generative and cycle-consistent adversarial networks Hadronization Corrections to Jet Cross Sections in Deep-Inelastic Scattering

Reference 51

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This paper cites FastJet user manual.

Lund jet images from generative and cycle-consistent adversarial networks FastJet user manual

Reference 52

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Observation 6f572bfa-cf5a-49f9-b883-8981ee78d4e1 · outbound

This paper cites Goodfellow, J.

Lund jet images from generative and cycle-consistent adversarial networks Goodfellow, J

Reference 53

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Observation e7d0c5df-6764-47f3-bae9-9719e5cce7e9 · outbound

This paper cites Improved Techniques for Training GANs.

Lund jet images from generative and cycle-consistent adversarial networks Improved Techniques for Training GANs

Reference 54

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This paper cites Bell, T.J.

Lund jet images from generative and cycle-consistent adversarial networks Bell, T.J

Reference 55

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Observation ae33cf11-b02b-4c7e-b9f5-6c1b7979a219 · outbound

This paper cites Bergstra, D.

Lund jet images from generative and cycle-consistent adversarial networks Bergstra, D

Reference 56

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This paper cites Bovik, H.R.

Lund jet images from generative and cycle-consistent adversarial networks Bovik, H.R

Reference 57

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Observation e859c8ef-59b8-4d35-9441-41e2f52e8d8d · outbound

This paper cites Maas, A.Y.

Lund jet images from generative and cycle-consistent adversarial networks Maas, A.Y

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:55.652919Z

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Observation d6579ee8-da5a-4485-845e-b00343f7020f · outbound

This paper cites Early Visual Concept Learning with Unsupervised Deep Learning.

Lund jet images from generative and cycle-consistent adversarial networks Early Visual Concept Learning with Unsupervised Deep Learning

Reference 59

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This paper cites Understanding disentangling in $\beta$-VAE.

Lund jet images from generative and cycle-consistent adversarial networks Understanding disentangling in $\beta$-VAE

Reference 60

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This paper cites Improved Training of Wasserstein GANs.

Lund jet images from generative and cycle-consistent adversarial networks Improved Training of Wasserstein GANs

Reference 61

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This paper cites Generating Sentences from a Continuous Space.

Lund jet images from generative and cycle-consistent adversarial networks Generating Sentences from a Continuous Space

Reference 62

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Observation ec1f773d-d956-4d53-b317-28b0d7c0012b · outbound

This paper cites Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables.

Lund jet images from generative and cycle-consistent adversarial networks Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables

Reference 63

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Observation dadae575-2d4a-42c3-bc27-d3f23c5bfa9e · outbound

This paper cites Neural Networks for Full Phase-space Reweighting and Parameter Tuning.

Lund jet images from generative and cycle-consistent adversarial networks Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:24:55.078371Z

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Observation c64b318c-cef2-46e8-bef3-b9e438f18498 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Lund jet images from generative and cycle-consistent adversarial networks Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T05:24:54.987790Z

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