Daniela Huppenkothen

According to our database, Daniela Huppenkothen authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stingray 2: A fast and modern Python library for spectral timing.

Matteo Bachetti, Daniela Huppenkothen, Abigail Stevens, John Swinbank, Guglielmo Mastroserio, Matteo Lucchini, Eleonora Veronica Lai, Johannes Buchner, Amogh Desai, Gaurav Joshi, Francesco Pisanu, Sri Guru Datta Pisupati, Swapnil Sharma, Mihir Tripathi, Dhruv Vats

J. Open Source Softw., 2024

FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning.

Francisco Ardevol Martinez, Michiel Min, Daniela Huppenkothen, Inga Kamp, Paul I. Palmer

CoRR, 2024

The Future of Hackathon Research and Practice.

Jeanette Falk, Alexander Nolte, Daniela Huppenkothen, Marion Weinzierl, Kiev Gama, Daniel Spikol, Erik J. Tollerud, Neil P. Chue Hong, Ines Knäpper, Linda Bailey Hayden

IEEE Access, 2024

2023

X-PSI: A Python package for neutron star X-ray pulse simulation and inference.

Thomas E. Riley, Devarshi Choudhury, Tuomo E. Salmi, Serena Vinciguerra, Yves Kini, Bas Dorsman, Anna L. Watts, Daniela Huppenkothen, Sebastien Guillot

J. Open Source Softw., February, 2023

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers.

Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger

CoRR, 2023

2021

Ten simple rules to cultivate transdisciplinary collaboration in data science.

Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Lee Swetnam, Daniela Huppenkothen, Will Sutherland, Ramona L. Walls, Daven P. Quinn, Tonantzin Tarin, David S. LeBauer, David Ribes, Dunbar P. Birnie III, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy Fischer, Kevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose, Richard R. Rushforth, Samapriya Roy, Thomas Matheson, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes, Stephen G. Kobourov, Nirav C. Merchant

PLoS Comput. Biol., 2021

2020

Teaching the Foundations of Machine Learning with Candy.

Daniela Huppenkothen, Gwendolyn Eadie

Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, 2020

2019

stingray: A modern Python library for spectral timing.

Daniela Huppenkothen, Matteo Bachetti, Abigail Stevens, Simone Migliari, Paul Balm, Omar Hammad, Usman Mahmood Khan, Himanshu Mishra, Haroon Rashid, Swapnil Sharma, Evandro Martinez Ribeiro, Ricardo Vallés Blanco

J. Open Source Softw., 2019

Entrofy Your Cohort: A Data Science Approach to Candidate Selection.

Daniela Huppenkothen, Brian McFee, Laura Norén

CoRR, 2019

2017

Hack Weeks as a model for Data Science Education and Collaboration.

Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem

CoRR, 2017