In today's episode we are joined by Pierre Glaser to discuss designing generative models. Pierre Glaser is a PhD student in Machine Learning at the Gatsby Computational Neuroscience Unit in UCL. He is working with Professor Arthur Gretton on advancing the methodology of flexible generative modelling. We discuss what generative models are (such as ChatGPT, Dall-E), what fitting a probabilistic model to a dataset entails, how physics and neuroscience are used in these models, and many more captivating topics!
Today’s episode was made possible thanks to the support of the Sainsbury Wellcome Public Engagement fund. We would like to thank Sainsbury Welcome Centre (SWC) for the generous grant supporting Science Communication initiatives like these. ⁠https://www.sainsburywellcome.org/web/⁠
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