Matias Carrasco Kind

According to our database, Matias Carrasco Kind authored at least 18 papers between 2013 and 2021.

Collaborative distances:

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

2021

Extended Isolation Forest.

Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner

IEEE Trans. Knowl. Data Eng., 2021

AGNet: Weighing Black Holes with Deep Learning.

Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko

CoRR, 2021

More than Meets the Eye: Towards an Artificial Intelligence Observatory.

Matias Carrasco Kind

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

2020

<i>flimview</i> : A software framework to handle, visualize and analyze FLIM data.

Matias Carrasco Kind, Mantas Zurauskas, Aneesh Alex, Marina Marjanovic, Prabuddha Mukherjee, Minh Doan, Darold R. Spillman Jr., Steve Hood, Stephen A. Boppart

F1000Research, 2020

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest.

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

CoRR, 2020

AGNet: Weighing Black Holes with Machine Learning.

Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind

CoRR, 2020

Survey2Survey: A deep learning generative model approach for cross-survey image mapping.

Brandon Buncher, Awshesh Nath Sharma, Matias Carrasco Kind

CoRR, 2020

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects.

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

CoRR, 2020

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs.

Ken Herner, James Annis, Dillon Brout, Marcelle Soares-Santos, Richard Kessler, Masao Sako, Ray F. Butler, Zoheyr Doctor, Antonella Palmese, Sahar Allam, Douglas L. Tucker, Flavia Sobreira, Brian Yanny, H. Thomas Diehl, Joshua A. Frieman, Noemi Glaeser, Alyssa Garcia, N. F. Sherman, Keith C. Bechtol, Edo Berger, Hsinyu Chen, Christopher J. Conselice, Erika R. Cook, Philip S. Cowperthwaite, Tamara M. Davis, Alex Drlica-Wagner, David A. Finley, Ryan J. Foley, Juan García-Bellido, Mandeep S. Gill, Robert A. Gruendl, Daniel E. Holz, Nikolay Kuropatkin, Huan Lin, John P. Marriner, Jennifer L. Marshall, Thomas Matheson, Eric H. Neilsen, Francisco Paz-Chinchón, Marcus Sauseda, Daniel M. Scolnic, Peter K. G. Williams, Santiago Ávila, Emmanuel Bertin, Elizabeth Buckley-Geer, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Luiz Nicolaci da Costa, Juan de Vicente, Shantanu Desai, Peter Doel, Tim F. Eifler, Spencer W. Everett, Pablo Fosalba, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, Gaston R. Gutiérrez, William G. Hartley, Devon L. Hollowood, Klaus Honscheid, David J. James, Elisabeth Krause, Kyler W. Kuehn, Ofer Lahav, Ting S. Li, Marcos Lima, Marcio A. G. Maia, Marisa C. March, Felipe Menanteau, Ramon Miquel, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, Ignacio Sevilla-Noarbe, Mathew C. Smith, Eric Suchyta, Gregory G. Tarlé, William C. Wester, Yuanyuan Zhang

Astron. Comput., 2020

2019

easyaccess: Enhanced SQL command line interpreter for astronomical surveys.

Matias Carrasco Kind, Alex Drlica-Wagner, Audrey Koziol, Donald Petravick

J. Open Source Softw., 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

2018

DES science portal: Creating science-ready catalogs.

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

Astron. Comput., 2018

DES science portal: Computing photometric redshifts.

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

Astron. Comput., 2018

Batch and online anomaly detection for scientific applications in a Kubernetes environment.

Sahand Hariri, Matias Carrasco Kind

Proceedings of the 9th Workshop on Scientific Cloud Computing, 2018

2017

Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs.

Weixiang Yu, Matias Carrasco Kind, Robert J. Brunner

Astron. Comput., 2017

2016

Crowdsourcing quality control for Dark Energy Survey images.

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

Astron. Comput., 2016

2013

SOMz: photometric redshift PDFs with self organizing maps and random atlas.

Matias Carrasco Kind, Robert J. Brunner

CoRR, 2013