A data-driven approach for star formation parameterization using symbolic regression | Paper Citation Record

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This paper cites , " * write output.state after.block = add.period write newline.

A data-driven approach for star formation parameterization using symbolic regression , " * write output.state after.block = add.period write newline

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A data-driven approach for star formation parameterization using symbolic regression write newline

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A data-driven approach for star formation parameterization using symbolic regression w'w8 j- /|bI<԰+ X + lp y pKcZe=xa+\^ t xXw^ 狏,X/yrU˒`6 PWIpr.yqc,](r l^D Uyi;L 93NXq+NmdDI

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This paper cites N., Lisenfeld , U., et al.

A data-driven approach for star formation parameterization using symbolic regression N., Lisenfeld , U., et al

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Reference 5

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Reference 6

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Reference 7

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This paper cites 2022, title From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with deep learning , , 509, 1323, 10.1093/mnras/stab3088.

A data-driven approach for star formation parameterization using symbolic regression 2022, title From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with deep learning , , 509, 1323, 10.1093/mnras/stab3088

Reference 8

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Observation b1c061c9-ade8-4fc8-bda2-529195472f68 · outbound

This paper cites 2008, title The Star Formation Law in Nearby Galaxies on Sub-Kpc Scales , , 136, 2846, 10.1088/0004-6256/136/6/2846.

A data-driven approach for star formation parameterization using symbolic regression 2008, title The Star Formation Law in Nearby Galaxies on Sub-Kpc Scales , , 136, 2846, 10.1088/0004-6256/136/6/2846

Reference 9

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Observation 216bb681-e0fd-4ebc-915d-2a3d9c0cb61c · outbound

This paper cites D., Leroy , A.

A data-driven approach for star formation parameterization using symbolic regression D., Leroy , A

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This paper cites 2018, title The Star Formation Rate in the Gravoturbulent Interstellar Medium , , 863, 118, 10.3847/1538-4357/aad002.

A data-driven approach for star formation parameterization using symbolic regression 2018, title The Star Formation Rate in the Gravoturbulent Interstellar Medium , , 863, 118, 10.3847/1538-4357/aad002

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This paper cites 2003, title Galactic Stellar and Substellar Initial Mass Function , , 115, 763, 10.1086/376392.

A data-driven approach for star formation parameterization using symbolic regression 2003, title Galactic Stellar and Substellar Initial Mass Function , , 115, 763, 10.1086/376392

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Observation 92b2ee4c-444d-41c1-9df1-b10f66323669 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

A data-driven approach for star formation parameterization using symbolic regression XGBoost: A Scalable Tree Boosting System

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This paper cites A survey and taxonomy of loss functions in machine learning.

A data-driven approach for star formation parameterization using symbolic regression A survey and taxonomy of loss functions in machine learning

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This paper cites G., Baugh , C.

A data-driven approach for star formation parameterization using symbolic regression G., Baugh , C

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This paper cites E., Schinnerer , E., et al.

A data-driven approach for star formation parameterization using symbolic regression E., Schinnerer , E., et al

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This paper cites Vertical equilibrium of molecular gas in galaxies.

A data-driven approach for star formation parameterization using symbolic regression Vertical equilibrium of molecular gas in galaxies

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Observation 95d1a9c7-2195-486f-aed1-dc707b0340cb · outbound

This paper cites A., Schaye , J., Bower , R.

A data-driven approach for star formation parameterization using symbolic regression A., Schaye , J., Bower , R

Reference 18

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This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

A data-driven approach for star formation parameterization using symbolic regression Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

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A data-driven approach for star formation parameterization using symbolic regression 1975, title I -Divergence Geometry of Probability Distributions and Minimization Problems , The Annals of Probability, 3, 146 , 10.1214/aop/1176996454

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This paper cites 2010 a , title Very High Gas Fractions and Extended Gas Reservoirs in z = 1.5 Disk Galaxies , , 713, 686, 10.1088/0004-637X/713/1/686.

A data-driven approach for star formation parameterization using symbolic regression 2010 a , title Very High Gas Fractions and Extended Gas Reservoirs in z = 1.5 Disk Galaxies , , 713, 686, 10.1088/0004-637X/713/1/686

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Observation c7af4cf9-17cc-4399-94c2-4f9e5d9a2b82 · outbound

This paper cites 2010 b , title Different Star Formation Laws for Disks Versus Starbursts at Low and High Redshifts , , 714, L118, 10.1088/2041-8205/714/1/L118.

A data-driven approach for star formation parameterization using symbolic regression 2010 b , title Different Star Formation Laws for Disks Versus Starbursts at Low and High Redshifts , , 714, L118, 10.1088/2041-8205/714/1/L118

Reference 22

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Observation b6de39f3-9f88-4d59-9a80-bc3ae75307aa · outbound

This paper cites L., & Jin , Z.

A data-driven approach for star formation parameterization using symbolic regression L., & Jin , Z

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Observation b7346d44-466d-4664-a133-da8898cdaccb · outbound

This paper cites L., Pan , H.-A., Bluck , A.

A data-driven approach for star formation parameterization using symbolic regression L., Pan , H.-A., Bluck , A

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A data-driven approach for star formation parameterization using symbolic regression G., & Scalo , J

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A data-driven approach for star formation parameterization using symbolic regression 1992, title The small-scale density and velocity structure of quiescent molecular clouds , , 257, 715

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression 2010, PhD thesis, University of Heidelberg, Heidelberg

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A data-driven approach for star formation parameterization using symbolic regression 2013, title The origin of physical variations in the star formation law , , 436, 3167, 10.1093/mnras/stt1799

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A data-driven approach for star formation parameterization using symbolic regression 2016, title On the universality of interstellar filaments: theory meets simulations and observations , , 457, 375, 10.1093/mnras/stv2880

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression S., & Schmidt , W

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A data-driven approach for star formation parameterization using symbolic regression M., Longmore , S

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A data-driven approach for star formation parameterization using symbolic regression 2023, title FIREbox: simulating galaxies at high dynamic range in a cosmological volume , , 522, 3831, 10.1093/mnras/stad1205

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A data-driven approach for star formation parameterization using symbolic regression A., Pipher , J

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A data-driven approach for star formation parameterization using symbolic regression J., Allen , L

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A data-driven approach for star formation parameterization using symbolic regression 2011, title Analytical Star Formation Rate from Gravoturbulent Fragmentation , , 743, L29, 10.1088/2041-8205/743/2/L29

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A data-driven approach for star formation parameterization using symbolic regression 2013, title Analytical Theory for the Initial Mass Function

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A data-driven approach for star formation parameterization using symbolic regression H., & Brunt , C

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression F., Quataert , E., & Murray , N

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A data-driven approach for star formation parameterization using symbolic regression F., Wetzel , A., Kere s , D., et al

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A data-driven approach for star formation parameterization using symbolic regression E., Schinnerer , E., et al

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression C., & Evans , N

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression Complexity Measures for Multi-objective Symbolic Regression

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A data-driven approach for star formation parameterization using symbolic regression 2001, title On the variation of the initial mass function , , 322, 231, 10.1046/j.1365-8711.2001.04022.x

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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A data-driven approach for star formation parameterization using symbolic regression R., Burkhart , B., Forbes , J

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A data-driven approach for star formation parameterization using symbolic regression R., Dekel , A., & McKee , C

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A data-driven approach for star formation parameterization using symbolic regression R., & Gnedin , N

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A data-driven approach for star formation parameterization using symbolic regression R., & McKee , C

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A data-driven approach for star formation parameterization using symbolic regression R., McKee , C

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A data-driven approach for star formation parameterization using symbolic regression J., Forbrich , J., Lombardi , M., & Alves , J

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A data-driven approach for star formation parameterization using symbolic regression J., Lombardi , M., & Alves , J

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

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Observation 754252ad-32ef-44a2-b42f-e73d0ef5d357 · outbound

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A data-driven approach for star formation parameterization using symbolic regression D., et al

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A data-driven approach for star formation parameterization using symbolic regression K., Walter , F., Brinks , E., et al

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Observation 85a4ef6b-556d-4937-afb2-2f2f744d4570 · outbound

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A data-driven approach for star formation parameterization using symbolic regression K., Walter , F., Sandstrom , K., et al

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A data-driven approach for star formation parameterization using symbolic regression K., Schinnerer , E., Hughes , A., et al

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Observation f9449504-4747-4629-aff1-1c95e3858c92 · outbound

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A data-driven approach for star formation parameterization using symbolic regression A Unified Approach to Interpreting Model Predictions

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Observation b6afc72d-096f-4753-bdec-634eddc4c556 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.297211Z

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Observation 8b00a86d-0a52-4473-bcdf-c1bd9a243d9d · outbound

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A data-driven approach for star formation parameterization using symbolic regression Malicious User Experience Design Research for Cybersecurity

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.300785Z

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A data-driven approach for star formation parameterization using symbolic regression E., Schinnerer , E., Garc \' a-Burillo , S., et al

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Observation 29e91312-d297-4f6f-857d-ea0e11b48a4f · outbound

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A data-driven approach for star formation parameterization using symbolic regression Towards a consistent model of the Galaxy: II. Derivation of the model

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.308283Z

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Observation ac8529f3-96fe-4eeb-ac44-aa97fb6bff67 · outbound

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A data-driven approach for star formation parameterization using symbolic regression Z., Glover , S

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Observation 0ead3745-88d6-4edd-9666-310bd44ae5c3 · outbound

This paper cites 2011, title Star Formation Efficiencies and Lifetimes of Giant Molecular Clouds in the Milky Way , , 729, 133, 10.1088/0004-637X/729/2/133.

A data-driven approach for star formation parameterization using symbolic regression 2011, title Star Formation Efficiencies and Lifetimes of Giant Molecular Clouds in the Milky Way , , 729, 133, 10.1088/0004-637X/729/2/133

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.316452Z

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Observation 29d311dd-fbf0-4bd6-89ad-7ab549c9a597 · outbound

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A data-driven approach for star formation parameterization using symbolic regression T., Klein , R

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.320204Z

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Observation fd9850c3-eefd-4f65-8449-91674eb38a22 · outbound

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Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.324135Z

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Observation 76e8ee64-fdae-4284-8604-a3c318dd32fd · outbound

This paper cites an unresolved cited work.

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Resolution: verified exact; doi, observed 2026-08-15T23:30:36.731583Z

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Observation f36d08c9-97a1-4c07-9b6d-78d67c2197fd · outbound

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A data-driven approach for star formation parameterization using symbolic regression E., Hayward , C

Reference 74

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A data-driven approach for star formation parameterization using symbolic regression E., Hayward , C

Reference 75

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A data-driven approach for star formation parameterization using symbolic regression C., & Kim , C.-G

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Observation 9be9dd1a-2bd3-43f8-98d4-d3721a5be5a0 · outbound

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A data-driven approach for star formation parameterization using symbolic regression C., McKee , C

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Observation 85d60560-d12c-4af7-a238-4d122184cce7 · outbound

This paper cites C., & Shetty , R.

A data-driven approach for star formation parameterization using symbolic regression C., & Shetty , R

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.346321Z

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Observation 41faa7f8-831f-469f-b831-303f47332620 · outbound

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A data-driven approach for star formation parameterization using symbolic regression 2022, in American Astronomical Society Meeting Abstracts, Vol

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.349850Z

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Observation bc090fde-9dc5-42d9-8dc0-45b0b31497ac · outbound

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A data-driven approach for star formation parameterization using symbolic regression 2002, title The Stellar Initial Mass Function from Turbulent Fragmentation , , 576, 870, 10.1086/341790

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.353496Z

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Observation 7a10dcc2-e973-42cc-ab94-6ba6d8a83cd8 · outbound

This paper cites 2011, title The Star Formation Rate of Supersonic Magnetohydrodynamic Turbulence , , 730, 40, 10.1088/0004-637X/730/1/40.

A data-driven approach for star formation parameterization using symbolic regression 2011, title The Star Formation Rate of Supersonic Magnetohydrodynamic Turbulence , , 730, 40, 10.1088/0004-637X/730/1/40

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.357591Z

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Observation 9ac7d688-10f2-4b66-9a95-2fdbc62fb7e0 · outbound

This paper cites 2018, title Simulating galaxy formation with the IllustrisTNG model , , 473, 4077, 10.1093/mnras/stx2656.

A data-driven approach for star formation parameterization using symbolic regression 2018, title Simulating galaxy formation with the IllustrisTNG model , , 473, 4077, 10.1093/mnras/stx2656

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.360956Z

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Observation b5ad49bb-c9e6-4dda-808e-429884003cf3 · outbound

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.364742Z

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Observation 3575cb7b-7c4e-4c27-b757-f4beaf765022 · outbound

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A data-driven approach for star formation parameterization using symbolic regression S., & Trager , S

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Observation 55084a6e-9456-4ca3-99de-cbee77127dac · outbound

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A data-driven approach for star formation parameterization using symbolic regression J., & Dame , T

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.371739Z

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Observation e9e385da-245b-4e8f-b765-2037a3e7ee85 · outbound

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A data-driven approach for star formation parameterization using symbolic regression 2012, title Star Formation Laws and Thresholds from Interstellar Medium Structure and Turbulence , , 760, L16, 10.1088/2041-8205/760/1/L16

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Resolution: verified exact; doi, observed 2026-08-15T23:30:36.652619Z

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A data-driven approach for star formation parameterization using symbolic regression M., Alatalo , K., Federrath , C., Groves , B., & Kewley , L

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.378738Z

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Observation 00d9cbee-dd19-43cf-a651-bc6ff482fd68 · outbound

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A data-driven approach for star formation parameterization using symbolic regression M., Federrath, C., & Kewley, L

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.382294Z

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.385809Z

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Observation b4f2e338-b77e-4982-ad50-e493c99098ac · outbound

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A data-driven approach for star formation parameterization using symbolic regression 1959, title The Rate of Star Formation

Reference 90

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Observation a1e2aaa2-070d-48d9-836f-ced1afb205e5 · outbound

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A data-driven approach for star formation parameterization using symbolic regression 2011, title The link between molecular cloud structure and turbulence , , 529, A1, 10.1051/0004-6361/200913884

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.392580Z

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Observation 8cb507c7-587a-492e-b7c6-25926eddc05e · outbound

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A data-driven approach for star formation parameterization using symbolic regression 2012, title Cluster-formation in the Rosette molecular cloud at the junctions of filaments , , 540, L11, 10.1051/0004-6361/201118566

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.396072Z

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Observation ee6e7992-4418-44b6-9ccb-8eff665c3e1e · outbound

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A data-driven approach for star formation parameterization using symbolic regression K., Walter , F., et al

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.399508Z

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Observation bc85ea87-572f-41d6-adda-da77810df59d · outbound

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A data-driven approach for star formation parameterization using symbolic regression Unresolved cited work

Reference 94

Resolution: verified exact; doi, observed 2026-08-15T23:30:36.603788Z

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Observation 0d5f26f3-7fa3-410c-85d5-4050de6a289f · outbound

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A data-driven approach for star formation parameterization using symbolic regression M., & Dye , S

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.406740Z

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Observation 3d3a956d-1aa8-4a53-9e45-f6743959e81f · outbound

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A data-driven approach for star formation parameterization using symbolic regression M., Rivolo , A

Reference 96

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Observation 8ce9ba58-b08e-4b83-9eea-6c00ae5c58be · outbound

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A data-driven approach for star formation parameterization using symbolic regression S., & Dav \'e , R

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Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.413972Z

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A data-driven approach for star formation parameterization using symbolic regression C., Springel , V., et al

Reference 98

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A data-driven approach for star formation parameterization using symbolic regression K., Ostriker , E

Reference 99

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A data-driven approach for star formation parameterization using symbolic regression K., Rosolowsky , E., et al

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T23:30:36.424920Z

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