Pierre Baldi

About

Pierre Baldi is a distinguished professor recognized for his remarkable contributions to the engineering of neural networks, applications of machine learning, and related sciences. His work has been acknowledged with the 2023 INNS Dennis Gabor Award by the International Neural Network Society, which honors outstanding individuals in the field of neural networks and machine learning. As a prominent figure in the Center for Machine Learning and Intelligent Systems at the University of California, Irvine, he has significantly advanced the understanding and development of neural network technologies and their applications.

Research topics

• Computer Science
• Artificial Intelligence
• Physics
• Astrophysics
• Psychology
• Machine Learning
• Particle physics
• Algorithm
• Nuclear physics
• Psychiatry

Selected publications

• Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

  Physical Review Letters · 2021 · 403 citations

  Neural networks can emulate nonlinear physical systems with high accuracy, yet they may produce physically inconsistent results when violating fundamental constraints. Here, we introduce a systematic way of enforcing nonlinear analytic constraints in neural networks via constraints in the architecture or the loss function. Applied to convective processes for climate modeling, architectural constraints enforce conservation laws to within machine precision without degrading performance. Enforcing…

  DOI

• Long-baseline neutrino oscillation physics potential of the DUNE experiment

  The European Physical Journal C · 2020 · 239 citations

  The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5$σ$, for all $δ_{\mathrm{CP}}$ values, after 2 years of runni…

  DOI

• Improved measurement of neutrino oscillation parameters by the NOvA experiment

  Physical review. D/Physical review. D. · 2022 · 184 citations

  We present new e , , e , and oscillation measurements by the NOvA experiment, with a 50% increase in neutrino-mode beam exposure over the previously reported results. The additional data, combined with previously published neutrino and antineutrino data, are all analyzed using improved techniques and simulations. A joint fit to the e , , e , and candidate samples within the 3-flavor neutrino oscillation framework continues to yield a best-fit point in the normal mass ordering and the upper octan…

  DOI

• Supernova Neutrino Burst Detection with the Deep Underground Neutrino Experiment

  The European Physical Journal C · 2020 · 137 citations

  Abstract: The Deep Underground Neutrino Experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV n…

  DOI

• The hidden link between circadian entropy and mental health disorders

  Translational Psychiatry · 2022 · 52 citations

  Senior authorCorresponding

  The high overlapping nature of various features across multiple mental health disorders suggests the existence of common psychopathology factor(s) (p-factors) that mediate similar phenotypic presentations across distinct but relatable disorders. In this perspective, we argue that circadian rhythm disruption (CRD) is a common underlying p-factor that bridges across mental health disorders within their age and sex contexts. We present and analyze evidence from the literature for the critical roles…

  PublisherOA PDFDOI

Recent grants

• UCI BIT Undergraduate Summer Research (BIT-SR) Program

  NIH · $381k · 2011–2016

• NIH Grant R01LM010235

  NIH · $507k · 2014

• Mining Structured Data with Applications in Chemistry and Biology

  NSF · $311k · 2005–2009

Frequent coauthors

• Siwei Chen

  Third Hospital of Nanchang

  95 shared

• B. Rebel

  Fermi National Accelerator Laboratory

  84 shared

• M. Lokajı́ček

  Czech Academy of Sciences, Institute of Physics

  83 shared

• P. Vahle

  82 shared

• J. Zálešâk

  76 shared

• Marcelo A. Wood

  University of California, Irvine

  74 shared

• J. S. Réal

  Laboratoire de Physique Subatomique et de Cosmologie

  73 shared

• Dina P. Matheos

  University of California, Irvine

  72 shared

Education

• Ph.D., Computer Science

  University of California, Santa Barbara

  1986

• M.S., Computer Science

  University of California, Santa Barbara

  1982

• B.S., Computer Science

  University of Paris VI (Pierre et Marie Curie)

  1980

Awards & honors

• INNS Dennis Gabor Award (2023)

Similar researchers at University of California, Irvine

• Gene Tsudikh-82
• Padhraic Smythh-78
• Sven Koenigh-75