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Explore a 55-minute conference talk on Multiflow, a novel approach to protein structure and sequence co-generation presented by Jason Yim and Andrew Campbell from Valence Labs. Dive into the concept of Discrete Flow Models (DFMs) and their application in combining discrete and continuous data for generative models. Learn how DFMs provide a missing link in flow-based generative models for multimodal data problems, utilizing Continuous Time Markov Chains. Discover the application of this innovative method to protein co-design, achieving state-of-the-art performance in jointly generating protein structure and sequence. Follow the presentation through its key sections, including an introduction and background, detailed explanation of Discrete Flow Models, exploration of Multiflow for multimodal flow models, followed by a discussion and Q&A session.
