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    optimal transport

    Explore " optimal transport" with insightful episodes like "Machine Learning and Mathematics with Tristan Brugère", "Machine Learning and Mathematics with Tristan Brugère", "Machine Learning and Mathematics with Tristan Brugère", "Machine Learning and Mathematics with Tristan Brugère" and "Machine Learning and Mathematics with Tristan Brugère" from podcasts like ""UC San Diego (Audio)", "University of California Video Podcasts (Video)", "Science (Video)", "UC San Diego (Video)" and "University of California Audio Podcasts (Audio)"" and more!

    Episodes (8)

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    Machine Learning and Mathematics with Tristan Brugère

    Machine Learning and Mathematics with Tristan Brugère
    Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

    A Personal Journey through Optimal Transport: Fields medalist Alessio Figalli interviewed by Luigi Ambrosio

    A Personal Journey through Optimal Transport: Fields medalist Alessio Figalli interviewed by Luigi Ambrosio

    In this episode, our guest is Alessio Figalli, Director of the Institute for Mathematical Research at ETH Zurich, Switzerland. Professor Figalli completed his Ph.D. at the Scuola Normale Superiore of Pisa in Italy and at the École Normale Supérieure of Lyon in France. He has also worked as a researcher at universities in France, the United States, and Switzerland.

    His achievements have been recognized with several prizes, including the Fields Medal in 2018 for his contributions to the theory of optimal transport, and the European Mathematical Society Prize in 2012 in recognition of his excellent contributions to mathematics.

    In a lively conversation with Luigi Ambrosio, a Professor at the Scuola Normale Superiore, Figalli discusses his early days in mathematics and his unique career path. He also comments on the differences in university systems among countries, how he manages his time with professional, personal, and family duties, the increasing importance of optimal transport in recent years, and his approach to problem-solving in mathematics.

    Originally aired by the UNITEXT Springer Nature Webinars series, this interview has been specifically adapted for the podcast format.

    Exploring the World of Optimal Transport: Luigi Ambrosio interviewed by Alfio Quarteroni

    Exploring the World of Optimal Transport: Luigi Ambrosio interviewed by Alfio Quarteroni

    In this episode, we have the pleasure of hosting Luigi Ambrosio, a Professor at the Scuola Normale Superiore in Pisa, Italy, as our guest. Professor Ambrosio, who recently co-authored the new textbook "Lectures on Optimal Transport" with Elia Brué and Daniele Semola, engages in a lively conversation with Alfio Quarteroni, a Professor at Politecnico di Milano. During this special interview, which is hosted by Professor Quarteroni, Professor Ambrosio shares his insights on topics such as optimal transport, the evolution of mathematics in Italy, strategies for motivating young mathematicians, and unsolved problems in his field. Originally aired by the UNITEXT Springer Nature Webinars series, this interview has been specifically adapted for the podcast format.

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