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  • HDSI Distinguished Seminar – Ila Fiete

    Seminar Series
    Qualcomm Conference Room at JSOE Jacobs Hall, 9736 Engineers Ln, La Jolla, San Diego, CA, United States

    Speaker: Ila Fiete Date & Time: Mon Dec 8th, 2:00pm NEW LOCATION:  Jacobs Hall, Qualcomm Conference Center B, 1st Floor Abstract: Modular and hierarchical structures are ubiquitous in the brain, and the decomposition of tasks into invariant subfactors of variation are arguably the basis for robust, efficient learning, compositional generalization, and lack of forgetting. In this talk, I […]

  • HDSI Seminar Series – Stephen Pizer – A geometric model for anatomic objects targeted for statistical analysis

    Computer Science & Engineering Building (CSE), Room 1242 3234 Matthews Ln, La Jolla, CA, United States

    Title: A geometric model for anatomic objects targeted for statistical analysis Speaker: Stephen Pizer, Kenan Professor of Computer Science, University of North Carolina at Chapel Hill Abstract: A novel representation called the evolutionary s-rep represents anatomic objects by encompassing an unusually rich collection of geometric features, image intensity based features, genetic features, etc.  It can […]

  • HDSI Seminar Series – Xiuyuan Cheng – Wasserstein-regularized learning via neural transport maps: from gradient flow to minimax

    Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

    Speaker: Xiuyuan Cheng Date & Time: Monday February 9th, 2:00pm Location: HDSI Multipurpose Room 123 Talk Title: Wasserstein-regularized learning via neural transport maps: from gradient flow to minimax Abstract: Wasserstein regularization has become a common tool in learning problems over distributions, while its practical computation remains challenging, especially in high dimensions. This talk presents a framework for Wasserstein-regularized learning […]

  • HDSI Seminar – Zhijian Liu – Efficient AI in the Era of Large Models

    Seminar Series
    Halıcıoğlu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA 92093, USA

    Speaker: Zhijian Liu Date & Time: Wednesday February 25th, 2:00pm Location: HDSI Multipurpose Room 123 Talk Title: Efficient AI in the Era of Large Models Abstract: Large foundation models now deliver remarkable capabilities in understanding, reasoning, and acting across digital and physical domains. Yet their computational cost has become the primary bottleneck to scaling and […]

  • HDSI Seminar – Emily Aiken – Empirically understanding the relative value of prediction in allocation

    Seminar Series
    Halıcıoğlu Data Science Institute (HDSI), Room 123 3234 Matthews Ln, La Jolla, CA, United States

    Speaker: Emily Aiken Date & Time: Monday March 2nd, 2:00pm Location: HDSI Multipurpose Room 123   Talk Title: Empirically understanding the relative value of prediction in allocation Abstract: Public institutions increasingly use prediction to allocate scarce resources. From a design perspective, better predictions compete with other investments, such as expanding capacity or improving treatment quality. Here, the big question […]

  • HDSI Seminar – Jessilyn Dunn – The Digital Physiome: Wearables for Disease Detection and Monitoring

    Seminar Series
    Halıcıoğlu Data Science Institute (HDSI), Room 123 3234 Matthews Ln, La Jolla, CA, United States

    Speaker: Jessilyn Dunn Date & Time: Monday March 2nd, 2:00pm Location: HDSI Multipurpose Room 123 Zoom Link: http://bit.ly/HDSI-Seminars Title:  The Digital Physiome: Wearables for Disease Detection and Monitoring Abstract: Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health and wearable technologies. Recent technological advancements make it possible to closely and […]

  • HDSI Seminar – Eddy Keming Chen – AI Meets Philosophy of Science: Towards a Foundation of AI

    Seminar Series
    Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

    Speaker:Eddy Keming Chen Date & Time: Wednesday March 4nd, 2:00pm Location: HDSI Multipurpose Room 123 Title:  AI Meets Philosophy of Science: Towards a Foundation of AI Abstract:  Why do simple learning rules yield AI systems that generalize far beyond their training data? I argue that this reflects an abundance of learnable structure in nature, and that […]

  • HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models

    Seminar Series
    Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

    Speaker: Ofir Lindenbaum Time/Date; Tuesday Sept 8th, 11:00am Location: HDSI Multipurpose Room 123 Zoom Link: http://bit.ly/HDSI-Seminars Title: Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models. Abstract: Foundation models present a paradigm shift in machine learning, where it often appears that “scale is all you need” to achieve strong performance across tasks. However, […]