Data Science Platforms: Algorithms and Visualization

Presentations

• Towards Secure and Interpretable AI: Scalable Methods, Interactive Visualizations, and Practical Tools

  Invited

  March 17, 2021, 8:00 AM – March 17, 2021, 8:36 AM

  Presenters

  • Polo Chau

    • Georgia Institute of Technology

  Authors

  • Polo Chau

    • Georgia Institute of Technology

  View abstract →

• Visualizing multiparameter probabilistic models in Minkowski space

  ORAL

  March 17, 2021, 8:36 AM – March 17, 2021, 8:48 AM

  Presenters

  • Han Kheng

    • Department of Physics, Cornell University

  Authors

  • Han Kheng

    • Department of Physics, Cornell University

  • Itay Griniasty

    • Department of Physics, Cornell University
    • Cornell University

  • Katherine N Quinn

    • The Graduate Center, City University of New York
    • Center for the Physics of Biological Function, Princeton University

  • Jaron Kent-Dobias

    • Laboratoire de Physique, Ecole Normale Supérieure
    • Department of Physics, Cornell University

  • Colin B Clement

    • Department of Physics, Cornell University

  • Qingyang Xu

    • MIT Operations Research Center, MIT

  • Jingyang Zheng

    • Department of Physics, Cornell University

  • Andrea Roeser

    • Department of Neurobiology and Behavior, Cornell University

  • James Patarasp Sethna

    • Cornell University
    • Department of Physics, Cornell University

  • Itai Cohen

    • Cornell University
    • Physics, Cornell University
    • Physics Department, Cornell University
    • Department of Physics, Cornell University

  • Jesse H. Goldberg

    • Department of Neurobiology and Behavior, Cornell University

  View abstract →

• High dimensional model representation with machine-learned component functions: a powerful tool to learn multivariate functions from sparse data

  ORAL

  March 17, 2021, 8:48 AM – March 17, 2021, 9:00 AM

  Presenters

  • Sergei Manzhos

    • INRS - Energie et Materiaux

  Authors

  • Mohamed Ali Boussaidi

    • Ecole Nationale d’Ingénieurs de Tunis

  • Owen Ren

    • INRS - Energie et Materiaux

  • Dmitry Voytsekhovsky

    • Purefacts Inc.

  • Sergei Manzhos

    • INRS - Energie et Materiaux

  View abstract →

• Enhancing searches for resonances with robust classifiers using moment decomposition

  ORAL

  March 17, 2021, 9:00 AM – March 17, 2021, 9:12 AM

  Presenters

  • Ouail Kitouni

    • Massachusetts Institute of Technology MIT

  Authors

  • Ouail Kitouni

    • Massachusetts Institute of Technology MIT

  • Benjamin Nachman

    • Physics Division, Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Laboratory

  • Constantin Weisser

    • Massachusetts Institute of Technology MIT

  • Mike Williams

    • Massachusetts Institute of Technology MIT

  View abstract →

• Matplotlib and Scientific Visualization

  Invited

  March 17, 2021, 9:12 AM – March 17, 2021, 9:48 AM

  Presenters

  • Thomas Caswell

    • Brookhaven National Laboratory

  Authors

  • Thomas Caswell

    • Brookhaven National Laboratory

  View abstract →

• Mode-Assisted Joint Training of Deep Boltzmann Machines

  ORAL

  March 17, 2021, 9:48 AM – March 17, 2021, 10:00 AM

  Presenters

  • Haik Manukian

    • University of California, San Diego

  Authors

  • Haik Manukian

    • University of California, San Diego

  • Massimiliano Di Ventra

    • University of California, San Diego
    • Department of Physics, University of California San Diego

  View abstract →

• The Fully-Automated Nanoscale To Atomistic Structures from Theory and eXperiment (FANTASTX) code

  ORAL

  March 17, 2021, 10:00 AM – March 17, 2021, 10:12 AM

  Presenters

  • Venkata Surya Chaitanya Kolluru

    • Center for Nanoscale Materials, Argonne National Laboratory

  Authors

  • Venkata Surya Chaitanya Kolluru

    • Center for Nanoscale Materials, Argonne National Laboratory

  • Eric Schwenker

    • Center for Nanoscale Materials, Argonne National Laboratory

  • Maria Chan

    • Argonne National Laboratory
    • Center for Nanoscale Materials, Argonne National Laboratory
    • Materials Research Center, Northwestern University

  View abstract →

• Python Software for Multimodal Optimization of X-ray Reflectivity Data using First Principles Theory

  ORAL

  March 17, 2021, 10:12 AM – March 17, 2021, 10:24 AM

  Presenters

  • Nicholas Cheung

    • James Madison University

  Authors

  • Nicholas Cheung

    • James Madison University

  • Maria Chan

    • Argonne National Laboratory
    • Center for Nanoscale Materials, Argonne National Laboratory
    • Materials Research Center, Northwestern University

  • Dillon D Fong

    • Argonne National Laboratory
    • Materials Science Division, Argonne National Laboratory
    • Materials Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA
    • Materials Science Division, Argonne National Lab

  • Kendra Letchworth-Weaver

    • James Madison University

  View abstract →

• ParaMonte - A cross-platform parallel scalable high-performance Monte Carlo optimization, sampling, and integration library in C, C++, Fortran, MATLAB, Python, and R

  ORAL

  March 17, 2021, 10:24 AM – March 17, 2021, 10:36 AM

  Presenters

  • Shashank Kumbhare

    • University of Texas at Arlington

  Authors

  • Shashank Kumbhare

    • University of Texas at Arlington

  • Fatemeh Bagheri

    • University of Texas at Arlington

  • Joshua Osborn

    • University of Texas at Arlington

  • Amir Shahmoradi

    • University of Texas at Arlington

  View abstract →