Daniela Huppenkothen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Projection Images

Machine Learning

Top Venues

J. Open Source Softw.

PLoS Comput. Biol.

Publications

Francisco Ardevol Martinez, Michiel Min, Daniela Huppenkothen, Inga Kamp, Paul I. Palmer
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning. CoRR (2024)
Thomas E. Riley, Devarshi Choudhury, Tuomo E. Salmi, Serena Vinciguerra, Yves Kini, Bas Dorsman, Anna L. Watts, Daniela Huppenkothen, Sebastien Guillot
X-PSI: A Python package for neutron star X-ray pulse simulation and inference. J. Open Source Softw. 8 (82) (2023)
Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, M. Walmsley, J. F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Y.-S. Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR (2023)
Jeanette Falk, Alexander Nolte, Daniela Huppenkothen, Marion Weinzierl, Kiev Gama, Daniel Spikol, Erik J. Tollerud, Neil P. Chue Hong, Ines Knäpper, Linda Bailey Hayden
The Future of Hackathon Research and Practice. CoRR (2022)
Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson 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
Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput. Biol. 17 (5) (2021)
Daniela Huppenkothen, Gwendolyn Eadie
Teaching the Foundations of Machine Learning with Candy. Teaching ML (2020)
Daniela Huppenkothen, Brian McFee, Laura Norén
Entrofy Your Cohort: A Data Science Approach to Candidate Selection. CoRR (2019)
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
stingray: A modern Python library for spectral timing. J. Open Source Softw. 4 (38) (2019)
Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem
Hack Weeks as a model for Data Science Education and Collaboration. CoRR (2017)