Ricardo Vilalta

Full Professor, Center for Science, Technology, Engineering and Mathematics, University of Austin

Joined

April 2021

Names

Ricardo Vilalta (Preferred)

Emails

****@uh.edu (Confirmed)

****@uaustin.org (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Center for Science, Technology, Engineering and Mathematics, University of Austin (uaustin.org)

2024 – Present

PhD student

Computer Science, University of Illinois, Urbana-Champaign (uiuc.edu)

1991 – 1998

Advisors, Relations & Conflicts

PhD Advisor

Larry Rendell

1991 – 1998

Expertise

transfer learning

2010 – 2021

astroinformatics

2002 – 2021

metalearning

2000 – 2021

Publications

Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter
Zhenyu Dai, Ben Moews, Ricardo Vilalta, Romeel Dave
- Published: 01 Jan 2023, Last Modified: 14 May 2023
- CoRR 2023
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler et al. (27 additional authors not shown)
- 2022 (modified: 06 Jun 2022)
- Frontiers Big Data 2022
- Readers: Everyone
Learning Abstract Task Representations
Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta
- 2021 (modified: 08 Mar 2022)
- CoRR 2021
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler et al. (67 additional authors not shown)
- 2021 (modified: 08 Mar 2022)
- CoRR 2021
- Readers: Everyone
Learning Abstract Task Representations
Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta
- 2021 (modified: 20 Mar 2023)
- MetaDL@AAAI 2021
- Readers: Everyone
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany
- 2020 (modified: 08 Mar 2022)
- CoRR 2020
- Readers: Everyone
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany
- 2020 (modified: 08 Mar 2022)
- SSCI 2020
- Readers: Everyone
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap et al. (18 additional authors not shown)
- 2019 (modified: 08 Mar 2022)
- CoRR 2019
- Readers: Everyone
Filter-Based Information-Theoretic Feature Selection
Farinaz Pisheh, Ricardo Vilalta
- 2019 (modified: 08 Mar 2022)
- ICAAI 2019
- Readers: Everyone
Conceptual Domain Adaptation Using Deep Learning
Behrang Mehrparvar, Ricardo Vilalta
- 2018 (modified: 08 Mar 2022)
- CoRR 2018
- Readers: Everyone

View all 70 publications

Co-Authors

View all 228 co-authors