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Journal Articles
- 2024
[j8]Matt L. Sampson
, Peter Melchior, Charlotte Ward, Sufia Birmingham:
Score-matching neural networks for improved multi-band source separation. Astron. Comput. 49: 100875 (2024)- 2022
- [j7]Tianshu Wang, Peter Melchior:
Graph neural network-based resource allocation strategies for multi-object spectroscopy. Mach. Learn. Sci. Technol. 3(1): 15023 (2022) - 2018
- [j6]Angelo Fausti Neto, Luiz Nicolaci da Costa, Aurelio Carnero Rosell, Julia Gschwend, R. L. C. Ogando, Flavia Sobreira, Marcio A. G. Maia, Basillio X. Santiago, Rogério Rosenfeld, C. Singulani, C. Adean, L. D. P. Nunes, Riccardo Campisano, R. Brito, G. Soares, G. C. Vila-Verde, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, Aurélien Benoit-Lévy, David D. Brooks, Elizabeth Buckley-Geer, Diego Capozzi, Matias Carrasco Kind, Jorge Carretero, Chris D'Andrea, Shantanu Desai, Peter Doel, Alex Drlica-Wagner, August E. Evrard, Pablo Fosalba, Juan García-Bellido, David W. Gerdes, Robert A. Gruendl, Gaston R. Gutiérrez, Klaus Honscheid, David J. James, Tesla E. Jeltema, Kyler W. Kuehn, Steve E. E. Kuhlmann, Nikolay Kuropatkin, Ofer Lahav, Marcos Lima, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Rafe H. Schindler, Michael S. Schubnell, Ignacio Sevilla-Noarbe, Mathew C. Smith, Robert C. Smith, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Alistair R. Walker:
DES science portal: Creating science-ready catalogs. Astron. Comput. 24: 52-69 (2018) - [j5]Peter Melchior, Fred Moolekamp, M. Jerdee, R. Armstrong, Ailei Sun, James F. Bosch, Robert Lupton:
scarlet: Source separation in multi-band images by Constrained Matrix Factorization. Astron. Comput. 24: 129-142 (2018) - [j4]Julia Gschwend, A. Carnero Rossel, Ricardo Ogando, Angelo Fausti Neto, Marcio A. G. Maia, Luiz Nicolaci da Costa, Marcos Lima, Paulo S. S. Pellegrini, Riccardo Campisano, C. Singulani, C. Adean, Christophe O. Benoist, Michel Aguena, Matias Carrasco Kind, Tamara M. Davis, J. DeVicente, William G. Hartley, Ben Hoyle, Antonella Palmese, Iftach H. Sadeh, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, James Annis, Jacobo Asorey, David D. Brooks, Josh Calcino, Daniela Carollo, Francisco J. Castander, Chris D'Andrea, Shantanu Desai, August E. Evrard, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Karl Glazebrook, David W. Gerdes, Robert A. Gruendl, Gaston R. Gutiérrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, Janie K. Hoormann, David J. James, Kyler W. Kuehn, Nikolay Kuropatkin, Ofer Lahav, Geraint F. Lewis, Christopher E. Lidman, Huan Lin, Edward MacAulay, Jennifer L. Marshall, Peter Melchior, Ramon Miquel, Anais Möller, Andreas Alejandro Plazas, Eusebio Sánchez, Basillio X. Santiago, Victor E. Scarpine, Rafe H. Schindler, Ignacio Sevilla-Noarbe, Mathew C. Smith, Natalia E. Sommer, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Brad E. Tucker, Douglas L. Tucker, Syed Ashraf Uddin, Alistair R. Walker:
DES science portal: Computing photometric redshifts. Astron. Comput. 25: 58-80 (2018) - [j3]Peter Melchior, Andy D. Goulding:
Filling the gaps: Gaussian mixture models from noisy, truncated or incomplete samples. Astron. Comput. 25: 183-194 (2018) - 2016
- [j2]Peter Melchior, Erin Sheldon, Alex Drlica-Wagner, Eli S. Rykoff, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, Aurélien Benoit-Lévy, David D. Brooks, Elizabeth Buckley-Geer, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Martín Crocce, Chris D'Andrea, Luiz Nicolaci da Costa, Shantanu Desai, Peter Doel, August E. Evrard, David A. Finley, Brenna L. Flaugher, Joshua A. Frieman, Enrique Gaztañaga, David W. Gerdes, Daniel Gruen, Richard A. Gruendl, Klaus Honscheid, David J. James, Michael J. Jarvis, Kyler W. Kuehn, Ting S. Li, Marcio A. G. Maia, Marisa C. March, Jennifer L. Marshall, Brian Nord, Ricardo Ogando, Andreas Alejandro Plazas, Anita K. Römer, Eusebio Sánchez, Victor E. Scarpine, Ignacio Sevilla-Noarbe, Robert C. Smith, Marcelle Soares-Santos, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Vinu Vikram, Alistair R. Walker, William C. Wester, Yuanyuan Zhang:
Crowdsourcing quality control for Dark Energy Survey images. Astron. Comput. 16: 99-108 (2016) - 2015
- [j1]Barnaby T. P. Rowe, Michael J. Jarvis, Rachel Mandelbaum, Gary M. Bernstein, James F. Bosch, Melanie Simet, Joshua E. Meyers, Tomasz Kacprzak, Reiko Nakajima, Joe Zuntz, Hironao Miyatake, Jörg P. Dietrich, R. Armstrong, Peter Melchior, Mandeep S. Gill:
GalSim: The modular galaxy image simulation toolkit. Astron. Comput. 10: 121-150 (2015)
Conference and Workshop Papers
- 2020
- [c1]Miles D. Cranmer, Peter Melchior, Brian Nord:
Unsupervised Resource Allocation with Graph Neural Networks. Preregister@NeurIPS 2020: 272-284
Informal and Other Publications
- 2023
- [i10]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:
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR abs/2310.12528 (2023) - [i9]Jeff Shen, Peter Melchior:
Multiscale Feature Attribution for Outliers. CoRR abs/2310.20012 (2023) - 2022
- [i8]Christian Kragh Jespersen, Miles D. Cranmer, Peter Melchior, Shirley Ho, Rachel S. Somerville, Austen Gabrielpillai:
Mangrove: Learning Galaxy Properties from Merger Trees. CoRR abs/2210.13473 (2022) - 2021
- [i7]Miles D. Cranmer, Peter Melchior, Brian Nord:
Unsupervised Resource Allocation with Graph Neural Networks. CoRR abs/2106.09761 (2021) - [i6]Tianshu Wang, Peter Melchior:
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy. CoRR abs/2109.13361 (2021) - 2020
- [i5]Ben Henghes, Ofer Lahav, David W. Gerdes, E. Lin, Robert Morgan, Timothy M. C. Abbott, Michel Aguena, Sahar Allam, James Annis, Santiago Ávila, Emmanuel Bertin, David D. Brooks, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Christopher J. Conselice, Matteo Costanzi, Luiz Nicolaci da Costa, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Peter Doel, S. Everett, I. Ferrero, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, Daniel Gruen, Robert A. Gruendl, Julia Gschwend, G. Gutierrez, William G. Hartley, Samuel R. Hinton, Klaus Honscheid, Ben Hoyle, David J. James, K. Kuehn, Nikolay Kuropatkin, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Ramon Miquel, Ricardo Ogando, Antonella Palmese, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Anita K. Römer, Carles Sánchez, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Marcelle Soares-Santos, Eric Suchyta, Gregory G. Tarlé, C. To, R. D. Wilkinson:
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. CoRR abs/2009.12856 (2020) - [i4]T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault Levasseur, David N. Spergel:
deep21: a Deep Learning Method for 21cm Foreground Removal. CoRR abs/2010.15843 (2020) - [i3]S. Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway, A. Amon, Keith C. Bechtol, Gary M. Bernstein, Aurelio Carnero Rosell, Matias Carrasco Kind, A. Choi, K. Eckert, S. Everett, Daniel Gruen, Robert A. Gruendl, I. Harrison, E. M. Huff, Nikolay Kuropatkin, Ignacio Sevilla-Noarbe, Erin Sheldon, Brian Yanny, Michel Aguena, Sahar Allam, D. Bacon, Emmanuel Bertin, S. Bhargava, D. Brooks, Jorge Carretero, Francisco J. Castander, Christopher J. Conselice, Matteo Costanzi, Martín Crocce, Luiz Nicolaci da Costa, M. E. S. Pereira, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Alex Drlica-Wagner, August E. Evrard, I. Ferrero, Brenna L. Flaugher, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, G. Gutierrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, K. Kuehn, Marcos Lima, H. Lin, Marcio A. G. Maia, Peter Melchior, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Eric Suchyta, Gregory G. Tarlé, D. Thomas, C. To, T. N. Varga, R. D. Wilkinson:
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. CoRR abs/2012.05928 (2020) - 2019
- [i2]François Lanusse, Peter Melchior, Fred Moolekamp:
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. CoRR abs/1912.03980 (2019) - 2017
- [i1]Fred Moolekamp, Peter Melchior:
Block-Simultaneous Direction Method of Multipliers: A proximal primal-dual splitting algorithm for nonconvex problems with multiple constraints. CoRR abs/1708.09066 (2017)
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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