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R. Molinaro

  1. Convolutional Neural Operators for robust and accurate learning of PDEs
    2023/02/02 by Bogdan Raonić, R. Molinaro, Raonić, Bogdan +10 · 70 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks #Neural Networks and Applications
  2. Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
    2020/06/29 by Siddhartha Mishra, Mishra, Siddhartha, R. Molinaro +2 · 26 citations
    Computer Science · Materials Science · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Magnetic Properties and Applications #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA) #Numerical Methods and Algorithms
  3. Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class of inverse problems for PDEs
    2020/06/29 by Siddhartha Mishra, Mishra, Siddhartha, R. Molinaro +2 · 16 citations
    Computer Science · Materials Science · Mathematics · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Magnetic Properties and Applications #Mathematical Physics (math-ph) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA) #Numerical methods in inverse problems
  4. GaiaEarly Data Release 3
    2020/12/03 by Sergei A. Klioner, Gaia Collaboration, S. A. Klioner +419 · 1 voice · 10 citations
    Earth and Planetary Sciences · Physics and Astronomy · #Astronomy and Astrophysical Research #Geophysics and Gravity Measurements #Stellar, planetary, and galactic studies #astro-ph.GA
  5. Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry
    2024/04/15 by Gaia Collaboration, P. Panuzzo, T. Mazeh +416 · 1 voice · 22 citations
    Physics and Astronomy · #Astrophysical Phenomena and Observations #Pulsars and Gravitational Waves Research #Relativity and Gravitational Theory #astro-ph.GA #astro-ph.SR
  6. Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
    2023/05/31 by Francesca Bartolucci, Bartolucci, Francesca, Emmanuel de Bézenac +9 · 19 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
  7. wPINNs: Weak Physics informed neural networks for approximating entropy solutions of hyperbolic conservation laws
    2022/07/18 by Tim De Ryck, Siddhartha Mishra, De Ryck, Tim +3 · 9 citations
    Computer Science · Engineering · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  8. Rubin Observatory LSST Transients and Variable Stars Roadmap
    2022/08/09 by K. Hambleton, Federica Bianco, Hambleton, Kelly M. +161 · 7 citations
    Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Solar and Stellar Astrophysics (astro-ph.SR) #Stellar, planetary, and galactic studies
  9. Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
    2022/10/03 by Samuel Lanthaler, Lanthaler, Samuel, R. Molinaro +5 · 5 citations
    Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Stability and Controllability of Differential Equations
  10. Cepheid Metallicity in the Leavitt Law (C-MetaLL) Survey. V. New multiband (grizJHKs) Cepheid light curves and period-luminosity relations
    2024/01/07 by Anupam Bhardwaj, V. Ripepi, Bhardwaj, A. +19 · 5 citations
    Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #Geophysics and Gravity Measurements #Solar and Stellar Astrophysics (astro-ph.SR) #Stellar, planetary, and galactic studies
  11. Cepheid Metallicity in the Leavitt Law (C- MetaLL) survey: IV. The metallicity dependence of Cepheid Period-Luminosity relations
    2023/10/05 by E. Trentin, Trentin, E., V. Ripepi +23 · 3 citations
    Physics and Astronomy · #Astronomy and Astrophysical Research #Stellar, planetary, and galactic studies #History and Developments in Astronomy
  12. High-resolution Spectroscopic Metallicities of Milky Way Cepheid Standards and their impact on the Leavitt Law and the Hubble constant
    2023/09/06 by Anupam Bhardwaj, Adam G. Riess, Bhardwaj, Anupam +23 · 4 citations
    Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #Cosmology and Gravitation Theories #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #History and Developments in Astronomy #Solar and Stellar Astrophysics (astro-ph.SR)
  13. Stellar Pulsation and Evolution: a Combined Theoretical Renewal and Updated Models (SPECTRUM) -- I: Updating radiative opacities for pulsation models of Classical Cepheid and RR-Lyrae
    2024/11/02 by Giulia De Somma, M. Marconi, De Somma, Giulia +5 · 1 citation
    Physics and Astronomy · #Astro and Planetary Science #Astronomy and Astrophysical Research #FOS: Physical sciences #Solar and Stellar Astrophysics (astro-ph.SR) #Stellar, planetary, and galactic studies