Jinchao Xu

December 2023

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  SCML Seminar on Training Algorithms, Spring 2024

  1 min read · Fri, Dec 22 2023

  News

  As the demand for data-driven solutions and complex problem-solving continues to escalate, the synergy between scientific computing and machine learning becomes increasingly crucial. The SCML seminar series serves several key objectives: To keep up with cutting-edge training algorithms and theories in machine learning. To establish connections between machine learning and scientific computing. To share recent progress on research within the SCML group at KAUST. Here is the list of speakers and titles: Date and Time Place Speaker Title TBA B1-L0-0118 https://kaust.zoom.us/j/4406489644 Pengzhan

July 2023

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  SCML Seminar, Fall 2023

  1 min read · Sat, Jul 8 2023

  News

  As the demand for data-driven solutions and complex problem-solving continues to escalate, the synergy between scientific computing and machine learning becomes increasingly crucial. The SCML seminar series serves several key objectives: To keep up with cutting-edge training algorithms and theories in machine learning. To establish connections between machine learning and scientific computing. To share recent progress on research within the SCML group at KAUST. Here is the list of speakers and abstracts:

June 2023

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  CEMSE professors Peter Markowich and Jinchao Xu elected to the Academia Europaea

  3 min read · Mon, Jun 12 2023

  News

  KAUST CEMSE Division professors Peter Markowich and Jinchao Xu have been elected members of the prestigious Academia Europaea.

February 2023

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  Mathematics and Applications Colloquium

  1 min read · Sun, Feb 5 2023

  News

  The Mathematics and Applications Colloquium is hosted by the Applied Mathematics and Computational Sciences (AMCS) program. The Colloquium talks will be presented by scientists from all over the world (including KAUST) on forefront research topics related to mathematics and its applications, and will be accessible to general audience from the AMCS program (see an interesting ams.org article: How to Give a Good Colloquium). The Colloquium will also provide opportunities for social interactions and academic collaborations among KAUST members and visitors, who are all welcome to attend. The

October 2022

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  SCML Seminar, Spring 2023

  1 min read · Mon, Oct 24 2022

  News

  As the demand for data-driven solutions and complex problem-solving continues to grow, the synergy between scientific computing and machine learning is becoming increasingly crucial. In this seminar, we will delve into state-of-the-art computational techniques, innovative machine learning algorithms, and their combined potential to revolutionize research across various domains. Here is the list of speakers:

August 2022

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  The International Conference on New Trends in Computational and Data Sciences

  1 min read · Thu, Aug 18 2022

  News

  With the rapid developments in technology, computational and applied mathematics has played an important and unprecedented role in many scientific disciplines. The main objective of this conference is to bring together researchers, students, and practitioners with interest in the theoretical, computational, and practical aspects in scientific computing, optimization, image processing, and data science, areas that Tony Chan has made impactful contributions. In honor of his 70th birthday, this conference will cover recent progress, stimulate new ideas, and facilitate interdisciplinary
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  Course: A Mathematical Introduction to Deep Learning

  1 min read · Sun, Aug 7 2022

  News

  machine learning

  I will give an elementary introduction of basic deep learning models and training algorithms from a mathematical viewpoint. In particular, I will relate some basic deep learning models with finite element and multigrid methods. I will also touch on some advanced topics to demonstrate the potential of new mathematical insight and analysis for improving the efficiency of deep learning technologies and, in particular, for their application to numerical solution of partial differential equations. Course Schedule View the full course schedule here.