Computer Vision

Presentations

• Machine Learning application for astrophysics: A case study for black hole images and strong gravitational lensing

  ORAL · Invited

  March 8, 2023, 8:00 AM – March 8, 2023, 8:36 AM

  Presenters

  • Joshua Yao-Yu Y Lin

    • University of Illinois Urbana-Champaign

  Authors

  • Joshua Yao-Yu Y Lin

    • University of Illinois Urbana-Champaign

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• Fusion for Reducing Domain Specificity in Computer Vision Models

  ORAL

  March 8, 2023, 8:36 AM – March 8, 2023, 8:48 AM

  Publication: There will eventually be a publication that substantially extends this work.

  Presenters

  • Laura E Brandt

    • MIT CSAIL

  Authors

  • Laura E Brandt

    • MIT CSAIL

  • Nicholas Roy

    • MIT CSAIL

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• Physics-constrained 3D convolutional neural networks for relativistic electrodynamics

  ORAL

  March 8, 2023, 8:48 AM – March 8, 2023, 9:00 AM

  Presenters

  • Alexander Scheinker

    • Los Alamos Natl Lab

  Authors

  • Alexander Scheinker

    • Los Alamos Natl Lab

  • Reeju Pokharel

    • Los Alamos Natl Lab

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• Image Classification Via Reversible Analog Superconducting Dynamics

  ORAL

  March 8, 2023, 9:00 AM – March 8, 2023, 9:12 AM

  Presenters

  • Ian Christie

    • Northrop Grumman Corporation

  Authors

  • Ian Christie

    • Northrop Grumman Corporation

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• Machine Learning-Based Classification of Irregular Shape Defects in Metal Additive Manufacturing

  ORAL

  March 8, 2023, 9:12 AM – March 8, 2023, 9:24 AM

  Publication: 1. E. Jutamulia, V. Ankel, A. Heifetz, "Analysis of Defects in Metal Additive Manufacturing with Augmented Data Generation," Argonne National Laboratory ANL/NSE-22/52 (2022).
  
  2. V. Ankel, D. Shribak, W.-Y. Chen, A. Heifetz, "Classification of computed thermal tomography images with deep learning convolutional neural network," Journal of Applied Physics 131(24), 244901 (2022).
  
  3. A Heifetz, D Shribak, X Zhang, J Saniie, ZL Fisher, T Liu, JG Sun, T Elmer, S Bakhtiari, W Cleary, "Thermal tomography 3D imaging of additively manufactured metallic structures," AIP Advances 10(10), 105318 (2020).

  Presenters

  • Elaine Jutamulia

    • Massachusetts Institute of Technology

  Authors

  • Elaine Jutamulia

    • Massachusetts Institute of Technology

  • Victoria A Ankel

    • University of Chicago

  • Wei-Ying Chen

    • Argonne National Laboratory

  • Alexander Heifetz

    • Argonne National Laboratory

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• Deep Learning based Super-resolution models for Accelerating Multiphysics Simulations of Laser Powder Bed Fusion

  ORAL

  March 8, 2023, 9:24 AM – March 8, 2023, 9:36 AM

  Presenters

  • Francis Ogoke

    • Carnegie Mellon University

  Authors

  • Francis Ogoke

    • Carnegie Mellon University

  • Quanliang Liu

    • Carnegie Mellon University

  • Olabode Ajenifujah

    • Carnegie Mellon University

  • Amir Barati Farimani

    • Carnegie Mellon University

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• Sujoy Ganguly

  ORAL · Invited

  March 8, 2023, 9:36 AM – March 8, 2023, 10:12 AM

  Presenters

  • Sujoy Ganguly

    • Unity

  Authors

  • Sujoy Ganguly

    • Unity

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• Jacobians in Deep Neural Networks : Criticality and beyond

  ORAL

  March 8, 2023, 10:12 AM – March 8, 2023, 10:24 AM

  Publication: Doshi, D., He, T. and Gromov, A. "Critical Initialization of Wide and Deep Neural Networks through Partial Jacobians: General Theory and Applications". arXiv:2111.12143v3

  Presenters

  • Darshil H Doshi

    • University of Maryland, College Park

  Authors

  • Darshil H Doshi

    • University of Maryland, College Park

  • Tianyu He

    • University of Maryland, College Park

  • Andrey Gromov

    • University of Maryland, College Park

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• AutoInit: Automatic Initialization via Jacobian Tuning

  ORAL

  March 8, 2023, 10:24 AM – March 8, 2023, 10:36 AM

  Presenters

  • Tianyu He

    • University of Maryland, College Park

  Authors

  • Tianyu He

    • University of Maryland, College Park

  • Darshil H Doshi

    • University of Maryland, College Park

  • Andrey Gromov

    • University of Maryland, College Park

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• A Machine Learning Framework to Analyze and Optimize the Print Parameters of Direct Ink Writing (DIW) Systems

  ORAL

  March 8, 2023, 10:36 AM – March 8, 2023, 10:48 AM

  Presenters

  • Aldair Gongora

    • Lawrence Livermore National Laboratory

  Authors

  • Aldair Gongora

    • Lawrence Livermore National Laboratory

  • Deirdre Newton

    • Lawrence Livermore National Lab

  • Timothy D Yee

    • Lawrence Livermore National Lab

  • Zachary Doorenbos

    • Lawrence Livermore National Lab

  • Brian Giera

    • Lawrence Livermore National Lab

  • Thomas Yong-Jin Han

    • Lawrence Livermore National Lab

  • Kyle T Sullivan

    • Lawrence Livermore National Lab

  • Jennifer N Rodriguez

    • Lawrence Livermore National Lab

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• Odor discrimination and identification by graphene-based electronic nose system

  ORAL

  March 8, 2023, 10:48 AM – March 8, 2023, 11:00 AM

  Publication: 1. Huang, Shirong, et al. Carbon 173 (2021): 262-270.
  2. Huang, Shirong, et al. Advanced Intelligent Systems 4.4 (2022): 2200016.
  3. Panes-Ruiz, Luis Antonio, et al. ACS sensors 3.1 (2018): 79-86.
  4. Panes-Ruiz, Luis Antonio, et al. Nano Research 15.3 (2022): 2512-2521.

  Presenters

  • Gianaurelio Cuniberti

    • Technische Universität Dresden

  Authors

  • Gianaurelio Cuniberti

    • Technische Universität Dresden

  • Shirong Huang

    • Technische Universität Dresden

  • Alexander Croy

    • Friedrich Schiller University Jena
    • Friedrich-Schiller-Universität Jena

  • Bergoi Ibarlucea

    • Technische Universität Dresden

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