Emulating Recombination with Neural Networks using Universal Differential Equations | Paper Citation Record

Observation 9851dff5-70b4-4d13-a3fa-bc0e854655dd · outbound

This paper cites Planck 2018 results. VI. Cosmological parameters.

Emulating Recombination with Neural Networks using Universal Differential Equations Planck 2018 results. VI. Cosmological parameters

Reference 1

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Observation e55bd3ce-c003-4f13-bac9-9759e12c5846 · outbound

This paper cites Thornton, P.A.R.

Emulating Recombination with Neural Networks using Universal Differential Equations Thornton, P.A.R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.166140Z

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Observation 6b9f4f49-3080-4d80-806d-e63bd2d979d5 · outbound

This paper cites SPT-3G: A Next-Generation Cosmic Microwave Background Polarization Experiment on the South Pole Telescope.

Emulating Recombination with Neural Networks using Universal Differential Equations SPT-3G: A Next-Generation Cosmic Microwave Background Polarization Experiment on the South Pole Telescope

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.524294Z

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Observation 9fa5d081-925e-4bc7-9bb2-f27a102bb33a · outbound

This paper cites CLASS: The Cosmology Large Angular Scale Surveyor.

Emulating Recombination with Neural Networks using Universal Differential Equations CLASS: The Cosmology Large Angular Scale Surveyor

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.527451Z

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Observation 6c51bc39-162f-4d63-b537-9958932298d5 · outbound

This paper cites The Simons Observatory: Science goals and forecasts.

Emulating Recombination with Neural Networks using Universal Differential Equations The Simons Observatory: Science goals and forecasts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.530370Z

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Observation 87b532f9-5266-429d-838f-ea333f1f4d76 · outbound

This paper cites CMB-S4 Science Case, Reference Design, and Project Plan.

Emulating Recombination with Neural Networks using Universal Differential Equations CMB-S4 Science Case, Reference Design, and Project Plan

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.533303Z

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Observation 8f5f3d2d-dff0-4e4d-8b25-f56f3731f8a1 · outbound

This paper cites Zeldovich, V.G.

Emulating Recombination with Neural Networks using Universal Differential Equations Zeldovich, V.G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.156950Z

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Observation 27e0222b-07ce-4e4a-ad9a-f4d2ad946657 · outbound

This paper cites Peebles, Recombination of the Primeval Plasma , ApJ 153 (1968) 1.

Emulating Recombination with Neural Networks using Universal Differential Equations Peebles, Recombination of the Primeval Plasma , ApJ 153 (1968) 1

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.148627Z

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Observation 4c756ec1-0b84-4ab2-9de9-16e3f81a62bc · outbound

This paper cites Seager, D.D.

Emulating Recombination with Neural Networks using Universal Differential Equations Seager, D.D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.141227Z

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Observation 3fecff25-ef2f-4de4-8d18-00f3846ab516 · outbound

This paper cites Ali-Ha ¨ ımoud and C.M.

Emulating Recombination with Neural Networks using Universal Differential Equations Ali-Ha ¨ ımoud and C.M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.133719Z

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Observation 1e3a4d52-5cd4-4067-a72c-7479c8ed3511 · outbound

This paper cites Lee and Y.

Emulating Recombination with Neural Networks using Universal Differential Equations Lee and Y

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.125895Z

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Observation 8b90ddba-79b0-4b23-a274-79677d801f0e · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Emulating Recombination with Neural Networks using Universal Differential Equations Universal Differential Equations for Scientific Machine Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.548827Z

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Observation 7c32a365-4bb3-4eca-92c4-c0e7a87b18f0 · outbound

This paper cites Bolibar, F.

Emulating Recombination with Neural Networks using Universal Differential Equations Bolibar, F

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.118508Z

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Observation 86feaf92-a8b1-41b7-ba85-3609bf3f000e · outbound

This paper cites Lima, C.M.

Emulating Recombination with Neural Networks using Universal Differential Equations Lima, C.M

Reference 14

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Observation aa8a1691-45e7-40d3-99c7-5a9249e5713e · outbound

This paper cites Vortmeyer-Kley, P.

Emulating Recombination with Neural Networks using Universal Differential Equations Vortmeyer-Kley, P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.100775Z

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Observation 0913147d-b9ad-44a7-bd85-4aa481a6e9d7 · outbound

This paper cites The Coyote Universe II: Cosmological Models and Precision Emulation of the Nonlinear Matter Power Spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations The Coyote Universe II: Cosmological Models and Precision Emulation of the Nonlinear Matter Power Spectrum

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.557620Z

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Observation 88e2fe03-d14b-4b89-9b8b-1c1340107772 · outbound

This paper cites {\sc CosmoNet}: fast cosmological parameter estimation in non-flat models using neural networks.

Emulating Recombination with Neural Networks using Universal Differential Equations {\sc CosmoNet}: fast cosmological parameter estimation in non-flat models using neural networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:31:04.020695Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc9a68ef-ec24-4399-9caa-88955f022f4a · outbound

This paper cites Parameter Inference for Weak Lensing using Gaussian Processes and MOPED.

Emulating Recombination with Neural Networks using Universal Differential Equations Parameter Inference for Weak Lensing using Gaussian Processes and MOPED

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.562180Z

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Observation 2e982048-fd4f-4552-bcda-da33711bcc9d · outbound

This paper cites COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys.

Emulating Recombination with Neural Networks using Universal Differential Equations COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.564445Z

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Observation c05c8184-c520-4349-a621-1ffa7731c08e · outbound

This paper cites Pico: Parameters for the Impatient Cosmologist.

Emulating Recombination with Neural Networks using Universal Differential Equations Pico: Parameters for the Impatient Cosmologist

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.567151Z

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Observation c572b197-36fd-4b0d-ba96-e269c6415344 · outbound

This paper cites Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations.

Emulating Recombination with Neural Networks using Universal Differential Equations Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.569882Z

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Observation 760291cc-3642-4ecf-bb4b-1fe92dce2aab · outbound

This paper cites Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory.

Emulating Recombination with Neural Networks using Universal Differential Equations Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.572629Z

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Observation a90b01b4-5386-4c57-b9e9-d8cffa7bbcbf · outbound

This paper cites The BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology.

Emulating Recombination with Neural Networks using Universal Differential Equations The BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.575165Z

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Observation b666a72f-0dba-489e-94e2-54aff64dd86f · outbound

This paper cites CosmicNet I: Physics-driven implementation of neural networks within Boltzmann-Einstein solvers.

Emulating Recombination with Neural Networks using Universal Differential Equations CosmicNet I: Physics-driven implementation of neural networks within Boltzmann-Einstein solvers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.578825Z

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Observation 8a7e0d5f-05f5-49e2-87c0-0c8a2a42e110 · outbound

This paper cites Field Level Neural Network Emulator for Cosmological N-body Simulations.

Emulating Recombination with Neural Networks using Universal Differential Equations Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.581301Z

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Observation 1f3428c0-f9e2-48a1-9312-19fb94fdcf66 · outbound

This paper cites Fast emulation of two-point angular statistics for photometric galaxy surveys.

Emulating Recombination with Neural Networks using Universal Differential Equations Fast emulation of two-point angular statistics for photometric galaxy surveys

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.583864Z

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Observation ae3a1d2f-deed-4aa5-b38e-47df29f95e59 · outbound

This paper cites Capse.jl: efficient and auto-differentiable CMB power spectra emulation.

Emulating Recombination with Neural Networks using Universal Differential Equations Capse.jl: efficient and auto-differentiable CMB power spectra emulation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.586595Z

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Observation cecf4e26-fe0d-4e6e-b6a7-162a49272d57 · outbound

This paper cites Galaxy Clustering in the Mira-Titan Universe I: Emulators for the redshift space galaxy correlation function and galaxy-galaxy lensing.

Emulating Recombination with Neural Networks using Universal Differential Equations Galaxy Clustering in the Mira-Titan Universe I: Emulators for the redshift space galaxy correlation function and galaxy-galaxy lensing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.589285Z

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Observation f9d8eaad-247a-4a50-8180-f05dfeaa8302 · outbound

This paper cites High-accuracy emulators for observables in $\Lambda$CDM, $N_\mathrm{eff}$, $\Sigma m_\nu$, and $w$ cosmologies.

Emulating Recombination with Neural Networks using Universal Differential Equations High-accuracy emulators for observables in $\Lambda$CDM, $N_\mathrm{eff}$, $\Sigma m_\nu$, and $w$ cosmologies

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.591730Z

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Observation 58ddce6e-d68c-443c-a7ce-ac0637459339 · outbound

This paper cites The Mira-Titan Universe IV. High Precision Power Spectrum Emulation.

Emulating Recombination with Neural Networks using Universal Differential Equations The Mira-Titan Universe IV. High Precision Power Spectrum Emulation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.594470Z

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Observation d56a968e-b984-4d64-a0be-fbd6c9c4f05e · outbound

This paper cites Accelerating cosmological inference with Gaussian processes and neural networks -- an application to LSST Y1 weak lensing and galaxy clustering.

Emulating Recombination with Neural Networks using Universal Differential Equations Accelerating cosmological inference with Gaussian processes and neural networks -- an application to LSST Y1 weak lensing and galaxy clustering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.597104Z

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Observation 29101e84-c1d8-450d-a982-90a4fbf01c1e · outbound

This paper cites COMET: Clustering Observables Modelled by Emulated perturbation Theory.

Emulating Recombination with Neural Networks using Universal Differential Equations COMET: Clustering Observables Modelled by Emulated perturbation Theory

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.599806Z

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Observation 6c857c55-5b0d-4576-b032-f8bb3cd4117d · outbound

This paper cites CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks.

Emulating Recombination with Neural Networks using Universal Differential Equations CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.602345Z

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Observation c3e3a4f4-c84e-46fc-8c1d-993347972ab7 · outbound

This paper cites NECOLA: Towards a Universal Field-level Cosmological Emulator.

Emulating Recombination with Neural Networks using Universal Differential Equations NECOLA: Towards a Universal Field-level Cosmological Emulator

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.605034Z

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Observation 0f797902-c521-4123-8780-b7f7df772b6c · outbound

This paper cites $\texttt{matryoshka}$: Halo Model Emulator for the Galaxy Power Spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations $\texttt{matryoshka}$: Halo Model Emulator for the Galaxy Power Spectrum

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.607262Z

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Observation 84180ed3-8505-4164-95c3-269eb1051ee1 · outbound

This paper cites Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS.

Emulating Recombination with Neural Networks using Universal Differential Equations Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.609725Z

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Observation cefaa138-6ec7-46c2-b971-224d3d7210d6 · outbound

This paper cites Multi-Fidelity Emulation for the Matter Power Spectrum using Gaussian Processes.

Emulating Recombination with Neural Networks using Universal Differential Equations Multi-Fidelity Emulation for the Matter Power Spectrum using Gaussian Processes

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:31:03.900639Z

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Observation d9d465ac-1241-4827-9f4c-d265f92ee067 · outbound

This paper cites The cosmology dependence of galaxy clustering and lensing from a hybrid $N$-body-perturbation theory model.

Emulating Recombination with Neural Networks using Universal Differential Equations The cosmology dependence of galaxy clustering and lensing from a hybrid $N$-body-perturbation theory model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.614676Z

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Observation 408ac96a-79fc-472b-ac0c-b2e40cfa9841 · outbound

This paper cites HMcode-2020: Improved modelling of non-linear cosmological power spectra with baryonic feedback.

Emulating Recombination with Neural Networks using Universal Differential Equations HMcode-2020: Improved modelling of non-linear cosmological power spectra with baryonic feedback

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.618051Z

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Observation 39d8d1fa-e496-412d-9f3f-f9277941bd3b · outbound

This paper cites Accurate emulator for the redshift-space power spectrum of dark matter halos and its application to galaxy power spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations Accurate emulator for the redshift-space power spectrum of dark matter halos and its application to galaxy power spectrum

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.620829Z

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Observation 54f7c8a8-a01e-4c06-8c3b-94ae5ccac6a4 · outbound

This paper cites Cosmology with galaxy-galaxy lensing on non-perturbative scales: Emulation method and application to BOSS LOWZ.

Emulating Recombination with Neural Networks using Universal Differential Equations Cosmology with galaxy-galaxy lensing on non-perturbative scales: Emulation method and application to BOSS LOWZ

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.623444Z

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Observation 4ed77ceb-25ba-4cf9-a8a0-a52c748a2992 · outbound

This paper cites Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering.

Emulating Recombination with Neural Networks using Universal Differential Equations Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.625999Z

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Observation 7a5668d6-34cf-4aba-a3b5-f3b809bfeaa0 · outbound

This paper cites The Aemulus Project III: Emulation of the Galaxy Correlation Function.

Emulating Recombination with Neural Networks using Universal Differential Equations The Aemulus Project III: Emulation of the Galaxy Correlation Function

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.628750Z

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Observation 6130cf9f-b2bb-4081-94d3-980d6e4da24b · outbound

This paper cites An Emulator for the Lyman-alpha Forest.

Emulating Recombination with Neural Networks using Universal Differential Equations An Emulator for the Lyman-alpha Forest

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.631480Z

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Observation e93c87dd-ebe0-4773-9e19-7f93a61dbb16 · outbound

This paper cites Emulation of reionization simulations for Bayesian inference of astrophysics parameters using neural networks.

Emulating Recombination with Neural Networks using Universal Differential Equations Emulation of reionization simulations for Bayesian inference of astrophysics parameters using neural networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.634276Z

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Observation 180df48f-e7ce-430e-a9a5-e01d9622409f · outbound

This paper cites The Mira-Titan Universe II: Matter Power Spectrum Emulation.

Emulating Recombination with Neural Networks using Universal Differential Equations The Mira-Titan Universe II: Matter Power Spectrum Emulation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.636969Z

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Observation efe5da96-6679-4071-b267-32d69e687b3b · outbound

This paper cites Cosmic Emulation: Fast Predictions for the Galaxy Power Spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations Cosmic Emulation: Fast Predictions for the Galaxy Power Spectrum

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.639570Z

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Observation 9f91cb4a-60d2-4e36-9a3a-ce5a7e664342 · outbound

This paper cites PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks.

Emulating Recombination with Neural Networks using Universal Differential Equations PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.642550Z

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Observation e8fa0be3-f529-4a99-84c1-a9f4f4aad6a8 · outbound

This paper cites The Coyote Universe Extended: Precision Emulation of the Matter Power Spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations The Coyote Universe Extended: Precision Emulation of the Matter Power Spectrum

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.645172Z

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Observation e363e3d4-29e0-4ff4-9655-371f6285ecb5 · outbound

This paper cites The Coyote Universe III: Simulation Suite and Precision Emulator for the Nonlinear Matter Power Spectrum.

Emulating Recombination with Neural Networks using Universal Differential Equations The Coyote Universe III: Simulation Suite and Precision Emulator for the Nonlinear Matter Power Spectrum

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.647864Z

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Observation 1fe14749-1da1-41cc-b33d-a6927aa8e657 · outbound

This paper cites H0 tension or T0 tension?.

Emulating Recombination with Neural Networks using Universal Differential Equations H0 tension or T0 tension?

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:31:03.815338Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6eeb1a84-af53-4d48-b8af-8aefe0055804 · outbound

This paper cites Tsitouras, Runge–kutta pairs of order 5(4) satisfying only the first column simplifying assumption, Computers & Mathematics with Applications 62 (2011) 770.

Emulating Recombination with Neural Networks using Universal Differential Equations Tsitouras, Runge–kutta pairs of order 5(4) satisfying only the first column simplifying assumption, Computers & Mathematics with Applications 62 (2011) 770

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.092094Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a7c9ede-ea7a-4e40-8a54-ee6623fa7c61 · outbound

This paper cites Kingma and J.

Emulating Recombination with Neural Networks using Universal Differential Equations Kingma and J

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.655322Z

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Observation 734dccf3-c7b3-41d8-929e-caa10f772fe7 · outbound

This paper cites DiffEqFlux.jl - A Julia Library for Neural Differential Equations.

Emulating Recombination with Neural Networks using Universal Differential Equations DiffEqFlux.jl - A Julia Library for Neural Differential Equations

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.657360Z

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Observation 668e6482-eefe-47c7-b590-ea9ec63eeb35 · outbound

This paper cites Multiple shooting for training neural differential equations on time series.

Emulating Recombination with Neural Networks using Universal Differential Equations Multiple shooting for training neural differential equations on time series

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:31:03.799093Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c1a8125-5aca-442e-b31b-496f7bc52978 · outbound

This paper cites Seager, D.D.

Emulating Recombination with Neural Networks using Universal Differential Equations Seager, D.D

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:31:04.078304Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ac98368-8239-4dfb-acfe-f9c4adc47f70 · outbound

This paper cites Hazumi, P.A.R.

Emulating Recombination with Neural Networks using Universal Differential Equations Hazumi, P.A.R

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.665226Z

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