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  • Making the Most of Your Camera | James Tompkin

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

    Abstract: Images are everywhere, especially images of the real world, and visual computing is important both for reconstructing useful models from these images and for providing us humans with interactive tools for visualization and analysis. These methods aid real world sensing and measurement, scientific and medical imaging, and media and the arts. The past three […]

  • Building and Deploying Large Language Model Applications Efficiently and Verifiably | Ying Sheng

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

    The applications of large language models (LLMs) are increasingly complex and diverse, necessitating efficient and reliable frameworks for building and deploying them. In this talk, I will begin with algorithms and systems for serving LLMs for everyone (FlexGen, S-LoRA, VTC), highlighting the growing trend of personalized LLM services. My work addresses the need to run LLMs locally for isolated individual needs. It also tackles the problem of efficiency and service fairness when resource sharing among many users is required. Once we have efficient deployment, a primary concern is the reliability of generation. The second part of this talk aims to address this issue by exploring verifiable code generation. To achieve this, I adopt tools in formal verification to facilitate LLMs in generating correctness certificates alongside other artifacts (Clover). Finally, I will touch on future research avenues, such as integrating formal methods with LLMs and developing programming systems for generative AI.

  • Forecasting the Antibody Response against the Influenza Virus | Tal Einav

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

    Abstract: Although influenza is one of the best-studied viruses, vaccine effectiveness remains around 20-50%. A sizable fraction of people exhibit a weak or short-lived antibody response following vaccination, yet we cannot identify these individuals a priori nor ascertain whether a different vaccine would have served them better. In this talk, we demonstrate how machine learning can […]

  • Bhanu Teja Gullapalli’s Dissertation Defense – June 3, at 3:30 pm. PST.

    https://ucsd.zoom.us/j/92070614513

    Please join the HDSI PhD Program for Bhanu Teja Gullapalli’s presentation of his dissertation on June 3, at 3:30 pm. PST. This defense will take place in-person, (HDSI Conference Room 138 ) but there will also be a Zoom link provided for remote attendees. Please note that the Zoom meeting will be recorded and the committee will meet in closed session after […]

  • HDSI Anniversary Symposium

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

    Date: June 6 Time: 11:00 AM - 5:00 PM Location: Halıcıoğlu Data Science Institute, Room 123, 3234 Matthews Ln, La Jolla, CA, 92093 Join us to celebrate the advancements and future of the Halıcıoğlu Data Science Institute. The event will feature: Keynote Speaker: Thomas Andriola, Vice Chancellor and Chief Digital Officer, UC Irvine Faculty Talks: […]

    Free

  • Mayank Garg | Tackling Acute Respiratory Distress Syndrome (ARDS) : Integrated and Holistic Approaches

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

    When Monday July 22nd 2:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: "Tackling Acute Respiratory Distress Syndrome (ARDS) : Integrated and Holistic Approaches" Abstract: ARDS is a complex heterogenous disorder which forms a significant health care burden. Pathophysiologically, ARDS is caused by multiple aetiologies which can lead to the diversity in clinical presentation seen. In our work with […]

  • HDSI/TILOS Seminar | Rob Nowak | What Kinds of Functions do Neural Networks Learn? Theory and Practical Applications

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

    When Wednesday July 24th 10:00am *Updated Where: HDSI 123 * Updated Zoom Info: https://ucsd.zoom.us/j/99334315002 *Updated Title: What Kinds of Functions do Neural Networks Learn?  Theory and Practical Applications Abstract:  This talk presents a theory characterizing the types of functions neural networks learn from data. Specifically, the function space generated by deep ReLU networks consists of compositions of functions from the […]

  • HDSI Seminar – Maksim Kitsak -Modeling and Inference of Complementarity Mechanisms in Networks.

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

    Talk Information: When Wednesday Oct 30th 1:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: Modeling and Inference of Complementarity Mechanisms in Networks. Abstract: "In many networks, including networks of protein-protein interactions, interdisciplinary collaboration networks, and semantic networks, connections are established between nodes with complementary rather than similar properties. What is complementarity? The Oxford Dictionary asserts that […]

  • Revisiting Scalarization in Multi-Task Learning | Prof. Han Zhao

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

    Title: Revisiting Scalarization in Multi-Task Learning Abstract: Linear scalarization, i.e., combining all loss functions by a weighted sum, has been the default choice in the literature of multi-task learning (MTL) since its inception. In recent years, there has been a surge of interest in developing Specialized Multi-Task Optimizers (SMTOs) that treat MTL as a multi-objective optimization problem. […]

  • HDSI Seminar – Hongzhe Li

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

    When Wednesday Feb 5th 2:00pm Where: Computer Science & Engineering (CSE) 1st floor, Seminar Room 1242 Title: Fréchet Regression of Random Objects on Vector Covariates and Its applications for Single Cell RNA-seq Data Analysis Abstract: Population-level single-cell RNA-seq data captures gene expression profiles across thousands of cells from each individual in a sizable cohort. This data facilitates the […]