Data Science I

Presentations

• The LHC Olympics: A Community Challenge for Anomaly Detection in High Energy Physics

  ORAL

  April 18, 2021, 1:30 PM – April 18, 2021, 1:42 PM

  Authors

  • Benjamin Nachman

    • Lawrence Berkeley National Laboratory

  • Gregor Kasieczka

    • University of Hamburg

  • David Shih

    • Rutgers

  View abstract →

• Parameter Estimation using Neural Networks in the Presence of Detector Effects

  ORAL

  April 18, 2021, 1:42 PM – April 18, 2021, 1:54 PM

  Authors

  • Adi Suresh

    • Department of Physics, University of California, Berkeley, CA 94720, USA

  • Anders Andreassen

    • Google, Mountain View, CA 94043, USA

  • Shih-Chieh Hsu

    • University of Washington
    • Department of Physics, University of Washington, Seattle, Washington 98195, USA

  • Benjamin Nachman

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab
    • Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

  • Natchanon Suaysom

    • Department of Physics, University of Washington, Seattle, Washington 98195, USA

  View abstract →

• Uncertainty Aware Learning for High Energy Physics

  ORAL

  April 18, 2021, 1:54 PM – April 18, 2021, 2:06 PM

  Authors

  • Aishik Ghosh

    • University of California, Irvine

  • Benjamin Nachman

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab
    • Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

  • Daniel Whiteson

    • University of California, Irvine

  View abstract →

• Unfolding New Physics with the OmniFold Method

  ORAL

  April 18, 2021, 2:06 PM – April 18, 2021, 2:18 PM

  Authors

  • William McCormack

    • University of California, Berkeley

  • Benjamin Nachman

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab
    • Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

  • Patrick Komiske

    • Massachusetts Institute of Technology

  View abstract →

• Symmetry Discovery using Machine Learning

  ORAL

  April 18, 2021, 2:18 PM – April 18, 2021, 2:30 PM

  Authors

  • Krish Desai

    • University of California, Berkeley

  • Benjamin Nachman

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab
    • Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

  • Jesse Thaler

    • Massachusetts Institute of Technology

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• Spatial Point Pattern Analysis of LHC Data

  ORAL

  April 18, 2021, 2:30 PM – April 18, 2021, 2:42 PM

  Authors

  • Konstantin Matchev

    • University of Florida

  • Alexander Roman

    • University of Florida

  • Prasanth Shyamsundar

    • Fermilab

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• Fast RNN Inference on an FPGA

  ORAL

  April 18, 2021, 2:42 PM – April 18, 2021, 2:54 PM

  Authors

  • Chaitanya Paikara

    • University of Washington

  • Philip Harris

    • Massachusetts Institute of Technology

  • Scott Hauck

    • University of Washington

  • Shih-Chieh Hsu

    • University of Washington
    • Department of Physics, University of Washington, Seattle, Washington 98195, USA

  • Richa Rao

    • University of Washington

  • Sioni Summers

    • European Organization for Nuclear Research (CERN)

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• An FPGA deployed neural network solution to hit energy estimation with ATLAS LAr calorimeter at the HL-LHC

  ORAL

  April 18, 2021, 2:54 PM – April 18, 2021, 3:06 PM

  Authors

  • Mesut Unal

    • University of Texas at Austin

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• The Mallat Scattering Transform for Reduced Order Modelling of Partial Differential Equations.

  ORAL

  April 18, 2021, 3:06 PM – April 18, 2021, 3:18 PM

  Authors

  • Francis Ogoke

    • Carnegie Mellon University

  • Michael Glinsky

    • Sandia National Laboratories

  • Amir Barati Farimani

    • Carnegie Mellon University

  View abstract →