Sofian Zalouk

Contact: szalouk [at] stanford [dot] edu

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I’m an master’s student in Computer Science at Stanford University, with a concentration on artifical intelligence. I am advised by Prof. Stefano Ermon, and have worked closely with Prof. Andrew Ng. I completed my B.A.Sc. in Elecrical Engineering with highest distinction at the University of Toronto, where I worked with Prof. Andreas Moshovos.

I am interested in working on topics such as uncertainty quantification, generative modeling, and computational fairness. These areas, I believe, are key to ensuring that machine learning technologies are employed responsibly, particularly in sectors where they may have a profound impact on human life and wellbeing. Please feel free to reach out if you’re interested in collobrating in any of these areas!

news

Dec 1, 2023 Our paper A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning is accepted at IEEE Transactions on Intelligent Transportation Systems.
Sep 20, 2023 Our paper Calibration by Distribution Matching: Trainable Kernel Calibration Metrics is accepted at NeurIPS 2023!

selected publications

  1. Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
    Charles Marx*, Sofian Zalouk*, and Stefano Ermon
    In Neural Information Processing Systems, 2023
    *Equal Contribution