Mini-Conference on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research II

ORAL · CM10

Presentations

  • Disruption prediction: from shallow to deep learning and interpretability techniques

    ORAL

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    Presenters

    • Cristina Rea

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT PSFC, Massachusetts Institute of Technology

    Authors

    • Cristina Rea

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT PSFC, Massachusetts Institute of Technology

    • Robert S Granetz

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT Plasma Science and Fusion Center, MIT PSFC

    • Kevin J Montes

      Massachusetts Inst of Tech-MIT, MIT PSFC

    • Roy Alexander Tinguely

      MIT PSFC, Massachusetts Inst of Tech-MIT

    View abstract →

  • Quantifying and Propagating Uncertainties to Enhance Real-time Disruption Prediction with Machine Learning

    ORAL

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    Presenters

    • Craig Michoski

      Univ. Texas, Austin, Univ of Texas, Austin

    Authors

    • Craig Michoski

      Univ. Texas, Austin, Univ of Texas, Austin

    • Julian Kates-Harbeck

      Harvard University

    • Gabriele Merlo

      Univ of Texas, Austin

    • Max Bremer

      Univ of Texas, Austin

    • Akash Shukla

      Univ of Texas, Austin

    • Nikolas C Logan

      Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory, Princeton Plasma Physics Lab

    • D.R. R Hatch

      Univ of Texas, Austin, Institute for Fusion Studies, University of Texas at Austin, IFS / UT Austin

    • Cristina Rea

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT PSFC, Massachusetts Institute of Technology

    • Todd A. Oliver

      Univ of Texas, Austin

    • Jani Salomon Janhunen

      Univ of Texas, Austin

    View abstract →

  • Statistical Distance-Based Validation Metrics for Probabilistic Plasma Turbulence Validation Studies

    ORAL

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    Presenters

    • Payam Vaezi

      Univ of California - San Diego

    Authors

    • Payam Vaezi

      Univ of California - San Diego

    • Christopher G Holland

      Univ of California - San Diego

    • B.A. A Grierson

      PPPL, Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory

    • Gary M Staebler

      GA, General Atomics - San Diego

    • Orso Meneghini

      General Atomics, General Atomics - San Diego

    • Sterling P Smith

      General Atomics, General Atomics - San Diego, GA

    View abstract →

  • Manifold learning to detect the transition from kinetics to hydrodynamics

    ORAL

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    Presenters

    • Charles Leland Ellison

      Lawrence Livermore Natl Lab, LLNL

    Authors

    • Charles Leland Ellison

      Lawrence Livermore Natl Lab, LLNL

    • Frank R Graziani

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Jeff Haack

      Los Alamos National Laboratory, Los Alamos Natl Lab

    • Elizabeth Munch

      Michigan State University

    • Michael Sean Murillo

      Michigan State Univ, Michigan State University, The Department of Computational Mathematics, Science and Engineering, Michigan State University, Computational Mathematics, Science and Engineering, Michigan State University

    • Liam G. Stanton

      Lawrence Livermore Natl Lab

    View abstract →

  • Nested cross-validation loop for performance optimization in imbalanced problems

    ORAL

    –

    Presenters

    • Kevin J Montes

      Massachusetts Inst of Tech-MIT, MIT PSFC

    Authors

    • Kevin J Montes

      Massachusetts Inst of Tech-MIT, MIT PSFC

    • Cristina Rea

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT PSFC, Massachusetts Institute of Technology

    • Robert S Granetz

      Massachusetts Inst of Tech-MIT, Massachusetts Inst of Tech, MIT Plasma Science and Fusion Center, MIT PSFC

    • Roy Alexander Tinguely

      MIT PSFC, Massachusetts Inst of Tech-MIT

    View abstract →