Paper Citation Record · LEDGER

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows

As of 14 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2506.05657.

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

pith.paper-citation-record.v1
2506.05657 v2

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Reference resolution

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Outbound references

Observation bfbcdcb1-82c8-41a6-b5fc-9e6a9673f6d9 · outbound

This paper cites 2015, Class.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2015, Class

Reference 1

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This paper cites G., et al.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows G., et al

Reference 2

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This paper cites 2020, Astrophys.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2020, Astrophys

Reference 3

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This paper cites 2023, Phys.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2023, Phys

Reference 4

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2015, Class

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2021, PTEP, 2021, 05A102, doi: 10.1093/ptep/ptab018

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Observation 7722ff47-4a92-446a-a10f-010ac0a791da · outbound

This paper cites POSYDON Version 2: Population Synthesis with Detailed Binary-Evolution Simulations across a Cosmological Range of Metallicities.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows POSYDON Version 2: Population Synthesis with Detailed Binary-Evolution Simulations across a Cosmological Range of Metallicities

Reference 7

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Unresolved cited work

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Observation d9f7bc9e-abeb-4926-84c9-d115c100fa23 · outbound

This paper cites A Primer on Bayesian Neural Networks: Review and Debates.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows A Primer on Bayesian Neural Networks: Review and Debates

Reference 9

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2017, Astrophys

Reference 10

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This paper cites S., Fragos, T., Qin, Y., et al.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows S., Fragos, T., Qin, Y., et al

Reference 11

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This paper cites 2010, ApJL, 715, L138, doi: 10.1088/2041-8205/715/2/L138.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2010, ApJL, 715, L138, doi: 10.1088/2041-8205/715/2/L138

Reference 12

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Observation 533e4a68-cb3b-44e8-962c-a3c19b7d4270 · outbound

This paper cites E., et al.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows E., et al

Reference 13

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows J., & Downing, J

Reference 14

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This paper cites Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

Reference 15

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This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 16

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Observation 3c9a2169-5d19-428d-8ac1-20a2b54a2e3e · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2024, Mach

Reference 17

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Observation 7cb3a211-a9fe-417b-beac-60f7aee040f0 · outbound

This paper cites AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization

Reference 18

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This paper cites P., Jankowiak, M., et al.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows P., Jankowiak, M., et al

Reference 19

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2019, doi: 10.3847/1538-4357/ab4a79

Reference 20

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2021, Mon

Reference 21

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2018,, 0.3.13 http://github.com/jax-ml/jax

Reference 22

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Population Synthesis of Gravitational Wave Sources

Reference 23

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2020, Astrophys

Reference 24

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows A., & Farr, W

Reference 25

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Continuous-Time Flows for Efficient Inference and Density Estimation

Reference 26

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Q., Zevin, M., & Vitale, S

Reference 27

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Exploring the evolution of gravitational-wave emitters with efficient emulation: Constraining the origins of binary black holes using normalising flows

Reference 28

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows R., Gair, J., et al

Reference 29

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows R., Gair, J., et al

Reference 30

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Low-Budget Simulation-Based Inference with Bayesian Neural Networks

Reference 31

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

Reference 32

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Neural Spline Flows

Reference 33

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2023, Astrophys

Reference 34

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Andrews, J., Bavera, S

Reference 35

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 36

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2022, Engineering Applications of Artificial Intelligence, 115, 105151, doi: 10.1016/j.engappai.2022.105151

Reference 37

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2021, Nature Astron., 5, 749, doi: 10.1038/s41550-021-01398-w

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 39

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2025, https://arxiv.org/abs/2302.13425

Reference 40

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2025, Phys

Reference 41

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Stochastic Variational Inference

Reference 42

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

Reference 43

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Adam: A Method for Stochastic Optimization

Reference 44

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Flow Matching for Generative Modeling

Reference 45

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Unresolved cited work

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2022, Phys

Reference 47

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2020a, Proc

Reference 48

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2020b, Front

Reference 49

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows M., & Moriya, T

Reference 50

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2022, Mon

Reference 51

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Unresolved cited work

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Rapid inference and comparison of gravitational-wave population models with neural variational posteriors

Reference 53

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2023, Mechanical Systems and Signal Processing, 205, 110796, doi: https://doi.org/10.1016/j.ymssp.2023.110796

Reference 54

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 1976, in Structure and Evolution of Close Binary Systems, ed

Reference 55

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Observation 1e2d78a2-ec9c-44f0-937f-7fe2051a7ef8 · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Normalizing Flows for Probabilistic Modeling and Inference

Reference 56

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Masked Autoregressive Flow for Density Estimation

Reference 57

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Reference 58

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2017, in NIPS-W

Reference 59

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2011, ApJS, 192, 3, doi: 10.1088/0067-0049/192/1/3

Reference 60

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2013, ApJS, 208, 4, doi: 10.1088/0067-0049/208/1/4

Reference 61

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2015, ApJS, 220, 15, doi: 10.1088/0067-0049/220/1/15

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:19.909552Z

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows B., et al

Reference 63

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2019, ApJS, 243, 10, doi: 10.3847/1538-4365/ab2241

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:19.919843Z

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:19.924658Z

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Observation 0c93749d-1311-4efe-a70c-f227137aa662 · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2025, Phys

Reference 66

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows TorchDyn: A Neural Differential Equations Library

Reference 67

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2006, Living Rev

Reference 68

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Observation 2003a9e6-c903-4009-8025-4545f8976814 · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Searching for binary black hole sub-populations in gravitational wave data using binned Gaussian processes

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:19.945902Z

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2023, Astrophys

Reference 70

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Variational Inference with Normalizing Flows

Reference 71

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2023, Astrophys

Reference 72

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Observation 88ed272f-0ffd-4a4a-a63a-b6e59f20dccc · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 73

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2018, Astrophys

Reference 74

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows 2003, Astrophys

Reference 75

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Composing Normalizing Flows for Inverse Problems

Reference 76

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Observation c0472892-a94a-425a-a33f-84e30805015c · outbound

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Unresolved cited work

Reference 77

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Unresolved cited work

Reference 78

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Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows S., Berry, C

Reference 79

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Pith citing papers

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High-dimensional reliability-oriented Shapley effect estimation with Normalizing Flows cites this paper.

High-dimensional reliability-oriented Shapley effect estimation with Normalizing Flows Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows

Reference 85

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Observation 9578262f-0e75-4605-b5b8-3c07e2253638 · inbound

High-dimensional reliability-oriented Shapley effect estimation with Normalizing Flows cites this paper.

Reference 84

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