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Chieh-Hsin (Jesse) Lai received his Ph.D. in Mathematics from the University of Minnesota in 2021. He is currently a Staff Research Scientist at Sony AI and a Visiting Assistant Professor in the Department of Applied Mathematics at National Yang Ming Chiao Tung University (Taiwan). His research focuses on deep generative modeling (with an emphasis on diffusion models) and AI for science. He has organized and delivered tutorials on generative AI at ISMIR 2024, ICASSP 2025, and IJCNN 2025. Recently, he led and authored a book, The Principles of Diffusion Models, which provides a systematic treatment of the foundations of diffusion models.
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Yuki Mitsufuji is a Distinguished Engineer at Sony Group Corporation and leads AI research at Sony AI, working at the intersection of creativity and artificial intelligence. He is also a Visiting Research Professor at New York University and an IEEE Senior Member. His research focuses on generative models and diffusion-based approaches for vision and audio. He has organized and delivered tutorials on diffusion models at international conferences such as ISMIR 2024, ICASSP 2025, and IJCNN 2025, and has given a series of lectures at the Tokyo Institute of Technology.
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Subham Sahoo is a Senior Research Scientist at the MBZUAI Institute of Foundation Models, where he leads a research team focused on diffusion language models (diffusion-LLMs). He holds a Ph.D. from Cornell University, where he conducted foundational work in this area. Most notably, he proposed the MDLM framework, which has played a pivotal role in shaping the field of discrete diffusion and has been adopted at industrial scale, such as ByteDance’s state-of-the-art diffusion-LLM and NVIDIA’s GenMol foundation model for drug discovery.
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