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Articles by Miles Cranmer

Accelerating Giant Impact Simulations with Machine Learning
25 September 2024 by Caleb Lammers and others
Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics
Symbolic Regression with a Learned Concept Library
14 September 2024 by Arya Grayeli and others
Machine Learning, Artificial Intelligence
The Ones That Got Away: Chemical Tagging of Globular Cluster-Origin Stars with Gaia BP/RP Spectra
30 August 2024 by Sarah Kane and others
Astrophysics of Galaxies
Machine Learning with Physics Knowledge for Prediction: A Survey
19 August 2024 by Joe Watson and others
Machine Learning, Numerical Analysis
Five parameters are all you need (in ΛCDM)
5 August 2024 by Paulo Montero-Camacho and others
Cosmology and Nongalactic Astrophysics
AstroCLIP: A Cross-Modal Foundation Model for Galaxies
1
14 June 2024 by Liam Parker and others at LogoASTRON
Instrumentation and Methods for Astrophysics, Artificial Intelligence
Symbolic Regression on FPGAs for Fast Machine Learning Inference
17 January 2024 by Ho Fung Tsoi and others
Machine Learning, High Energy Physics
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
30 October 2023 by Christian Pedersen and others at LogoASTRON
Machine Learning
Multiple Physics Pretraining for Physical Surrogate Models
4 October 2023 by Michael Mccabe and others
Machine Learning, Artificial Intelligence
xVal: A Continuous Number Encoding for Large Language Models
4 October 2023 by Siavash Golkar and others at LogoUniversité Paris-Saclay
Machine Learning, Artificial Intelligence
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
3 May 2023 by Miles Cranmer
Instrumentation and Methods for Astrophysics, Machine Learning
The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback
28 April 2023 by Digvijay Wadekar and others
Cosmology and Nongalactic Astrophysics, Astrophysics of Galaxies
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
6 April 2023 by F. O. De Franca and others
Machine Learning, Artificial Intelligence
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
14 December 2022 by David Ruhe and others
Instrumentation and Methods for Astrophysics, High Energy Astrophysical Phenomena
Learning Integrable Dynamics with Action-Angle Networks
24 November 2022 by Ameya Daigavane and others
Machine Learning, Computational Physics
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
15 November 2022 by Ji Won Park and others
Cosmology and Nongalactic Astrophysics, Machine Learning
A Neural Network Subgrid Model of the Early Stages of Planet Formation
8 November 2022 by Thomas Pfeil and others
Earth and Planetary Astrophysics, Machine Learning
\texttt{Mangrove}: Learning Galaxy Properties from Merger Trees
24 October 2022 by Christian Kragh Jespersen and others
Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics
Charting Galactic Accelerations with Stellar Streams and Machine Learning
12 September 2022 by Jacob Nibauer and others
Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics
Automated discovery of interpretable gravitational-wave population models
25 July 2022 by Kaze W. K. Wong and Miles Cranmer
Instrumentation and Methods for Astrophysics, High Energy Astrophysical Phenomena
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
20 July 2022 by Pablo Lemos and others
Cosmology and Nongalactic Astrophysics, Machine Learning
GaMPEN: A Machine Learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
11 July 2022 by Aritra Ghosh and others
Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics
TNT: Vision Transformer for Turbulence Simulations
11 July 2022 by Yuchen Dang and others
Fluid Dynamics
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks
10 June 2022 by Leander Thiele and others
Cosmology and Nongalactic Astrophysics, Machine Learning
{\sc HIFlow}: Generating Diverse HI Maps and Inferring Cosmology while Marginalizing over Astrophysics using Normalizing Flows
9 June 2022 by Sultan Hassan and others
Cosmology and Nongalactic Astrophysics, Astrophysics of Galaxies
Stability Constrained Characterization of the 23 Myr-old V1298 Tau System: Do Young Planets Form in Mean Motion Resonance Chains?
5 March 2022 by Roberto Tejada Arevalo and others
Earth and Planetary Astrophysics
Rediscovering orbital mechanics with machine learning
4 February 2022 by Pablo Lemos and others
Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter
17 January 2022 by Digvijay Wadekar and others
Cosmology and Nongalactic Astrophysics, Astrophysics of Galaxies
Learned Coarse Models for Efficient Turbulence Simulation
4 January 2022 by Kimberly Stachenfeld and others
Fluid Dynamics, Machine Learning
Unsupervised Resource Allocation with Graph Neural Networks
17 June 2021 by Miles Cranmer and others at LogoPrinceton University
Machine Learning, Cosmology and Nongalactic Astrophysics
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