Paper Citation Record · LEDGER

Optimizers for Stabilizing Likelihood-free Inference

As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2501.18419.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18419 v2

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Reference resolution

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Outbound references

Observation b7fe2875-e8d6-4cc4-bce2-74735bff25e9 · outbound

This paper cites an unresolved cited work.

Optimizers for Stabilizing Likelihood-free Inference Unresolved cited work

Reference 1

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This paper cites Monte Carlo.

Optimizers for Stabilizing Likelihood-free Inference Monte Carlo

Reference 2

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This paper cites advantage is with a narrower range of hyperparameters overall, including the experiments in this section and the last.

Optimizers for Stabilizing Likelihood-free Inference advantage is with a narrower range of hyperparameters overall, including the experiments in this section and the last

Reference 3

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This paper cites Cranmer, J.

Optimizers for Stabilizing Likelihood-free Inference Cranmer, J

Reference 4

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This paper cites Andreev et al., Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding , Phys.

Optimizers for Stabilizing Likelihood-free Inference Andreev et al., Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding , Phys

Reference 6

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This paper cites Andreev et al., Unbinned deep learning jet substructure measurement in high Q2ep collisions at HERA , Phys.

Optimizers for Stabilizing Likelihood-free Inference Andreev et al., Unbinned deep learning jet substructure measurement in high Q2ep collisions at HERA , Phys

Reference 7

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This paper cites A simultaneous unbinned differential cross section measurement of twenty-four $Z$+jets kinematic observables with the ATLAS detector.

Optimizers for Stabilizing Likelihood-free Inference A simultaneous unbinned differential cross section measurement of twenty-four $Z$+jets kinematic observables with the ATLAS detector

Reference 8

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This paper cites rep., CERN, Geneva, 2024.

Optimizers for Stabilizing Likelihood-free Inference rep., CERN, Geneva, 2024

Reference 9

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This paper cites Measurement of off-shell Higgs boson production in the $H^*\rightarrow ZZ\rightarrow 4\ell$ decay channel using a neural simulation-based inference technique in 13 TeV $pp$ collisions with the ATLAS detector.

Optimizers for Stabilizing Likelihood-free Inference Measurement of off-shell Higgs boson production in the $H^*\rightarrow ZZ\rightarrow 4\ell$ decay channel using a neural simulation-based inference technique in 13 TeV $pp$ collisions with the ATLAS detector

Reference 10

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This paper cites Dijet resonance search with weak supervision using $\sqrt{s}=13$ TeV $pp$ collisions in the ATLAS detector.

Optimizers for Stabilizing Likelihood-free Inference Dijet resonance search with weak supervision using $\sqrt{s}=13$ TeV $pp$ collisions in the ATLAS detector

Reference 11

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This paper cites Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

Optimizers for Stabilizing Likelihood-free Inference Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Reference 12

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This paper cites Approximating Likelihood Ratios with Calibrated Discriminative Classifiers.

Optimizers for Stabilizing Likelihood-free Inference Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Reference 13

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This paper cites New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation.

Optimizers for Stabilizing Likelihood-free Inference New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation

Reference 14

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This paper cites Brehmer, K.

Optimizers for Stabilizing Likelihood-free Inference Brehmer, K

Reference 15

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This paper cites Brehmer, K.

Optimizers for Stabilizing Likelihood-free Inference Brehmer, K

Reference 16

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Reference 17

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This paper cites Nachman and J.

Optimizers for Stabilizing Likelihood-free Inference Nachman and J

Reference 18

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This paper cites Likelihood-free inference with an improved cross-entropy estimator.

Optimizers for Stabilizing Likelihood-free Inference Likelihood-free inference with an improved cross-entropy estimator

Reference 19

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This paper cites Training Neural Networks for Likelihood/Density Ratio Estimation.

Optimizers for Stabilizing Likelihood-free Inference Training Neural Networks for Likelihood/Density Ratio Estimation

Reference 20

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This paper cites Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison.

Optimizers for Stabilizing Likelihood-free Inference Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 21

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This paper cites Learning Likelihood Ratios with Neural Network Classifiers.

Optimizers for Stabilizing Likelihood-free Inference Learning Likelihood Ratios with Neural Network Classifiers

Reference 22

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This paper cites Improving Energy Conserving Descent for Machine Learning: Theory and Practice.

Optimizers for Stabilizing Likelihood-free Inference Improving Energy Conserving Descent for Machine Learning: Theory and Practice

Reference 24

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Optimizers for Stabilizing Likelihood-free Inference Machine Learning Methods for Track Classification in the AT-TPC

Reference 25

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This paper cites Application of Transfer Learning to Neutrino Interaction Classification.

Optimizers for Stabilizing Likelihood-free Inference Application of Transfer Learning to Neutrino Interaction Classification

Reference 26

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This paper cites Leveraging universality of jet taggers through transfer learning.

Optimizers for Stabilizing Likelihood-free Inference Leveraging universality of jet taggers through transfer learning

Reference 27

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Optimizers for Stabilizing Likelihood-free Inference Improving the performance of weak supervision searches using transfer and meta-learning

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Optimizers for Stabilizing Likelihood-free Inference Mikuni and B

Reference 29

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Optimizers for Stabilizing Likelihood-free Inference Adam: A Method for Stochastic Optimization

Reference 30

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This paper cites Qian, On the momentum term in gradient descent learning algorithms, Neural networks : the official journal of the International Neural Network Society 12 1 (1999) 145–151.

Optimizers for Stabilizing Likelihood-free Inference Qian, On the momentum term in gradient descent learning algorithms, Neural networks : the official journal of the International Neural Network Society 12 1 (1999) 145–151

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This paper cites The AdEMAMix Optimizer: Better, Faster, Older.

Optimizers for Stabilizing Likelihood-free Inference The AdEMAMix Optimizer: Better, Faster, Older

Reference 34

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Optimizers for Stabilizing Likelihood-free Inference Robnik, G

Reference 35

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This paper cites Fluctuation without dissipation: Microcanonical Langevin Monte Carlo.

Optimizers for Stabilizing Likelihood-free Inference Fluctuation without dissipation: Microcanonical Langevin Monte Carlo

Reference 36

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Optimizers for Stabilizing Likelihood-free Inference Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling

Reference 37

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This paper cites Decamp et al., ALEPH: A detector for electron-positron annnihilations at LEP , Nucl.

Optimizers for Stabilizing Likelihood-free Inference Decamp et al., ALEPH: A detector for electron-positron annnihilations at LEP , Nucl

Reference 38

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Optimizers for Stabilizing Likelihood-free Inference High-Energy-Physics Event Generation with PYTHIA 6.1

Reference 39

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This paper cites Measurements of two-particle correlations in $e^+e^-$ collisions at 91 GeV with ALEPH archived data.

Optimizers for Stabilizing Likelihood-free Inference Measurements of two-particle correlations in $e^+e^-$ collisions at 91 GeV with ALEPH archived data

Reference 41

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Optimizers for Stabilizing Likelihood-free Inference Farhi, A QCD Test for Jets , Phys

Reference 42

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Optimizers for Stabilizing Likelihood-free Inference Srivastava, G

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Optimizers for Stabilizing Likelihood-free Inference Andreassen, P

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Optimizers for Stabilizing Likelihood-free Inference B¨ ahr, S

Reference 45

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Optimizers for Stabilizing Likelihood-free Inference Bellm, S

Reference 46

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Optimizers for Stabilizing Likelihood-free Inference Bellm, S

Reference 47

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This paper cites Sj¨ ostrand, S.

Optimizers for Stabilizing Likelihood-free Inference Sj¨ ostrand, S

Reference 48

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This paper cites Sj¨ ostrand, S.

Optimizers for Stabilizing Likelihood-free Inference Sj¨ ostrand, S

Reference 49

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This paper cites Sj¨ ostrand, S.

Optimizers for Stabilizing Likelihood-free Inference Sj¨ ostrand, S

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This paper cites de Favereau, C.

Optimizers for Stabilizing Likelihood-free Inference de Favereau, C

Reference 51

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Optimizers for Stabilizing Likelihood-free Inference Soft Drop

Reference 52

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Optimizers for Stabilizing Likelihood-free Inference Identifying Boosted Objects with N-subjettiness

Reference 53

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Optimizers for Stabilizing Likelihood-free Inference Maximizing Boosted Top Identification by Minimizing N-subjettiness

Reference 54

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Observation 34b69113-8505-4eea-a38f-4feaab8af3e5 · outbound

This paper cites Jimenez Rezende and S.

Optimizers for Stabilizing Likelihood-free Inference Jimenez Rezende and S

Reference 55

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This paper cites Learning New Physics from a Machine.

Optimizers for Stabilizing Likelihood-free Inference Learning New Physics from a Machine

Reference 57

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This paper cites E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once.

Optimizers for Stabilizing Likelihood-free Inference E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once

Reference 58

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This paper cites Variational Inference with Normalizing Flows.

Optimizers for Stabilizing Likelihood-free Inference Variational Inference with Normalizing Flows

Reference 2015

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Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Optimizers for Stabilizing Likelihood-free Inference

Reference 63

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