New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google
Latent representation spaces have been powerful in enabling computationally efficient methods for image generation.
News
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New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google
Algorithms for solving inverse problems give breakthrough performance on visual stylization, personalization, and image restoration.
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IFML Diffusion Seminar Series: Tutorial on the Mathematical Foundations of Diffusion Models for Image Generation
Sanjay Shakkottai, Professor and Cockrell Family Chair in Engineering # 15 in the Department of Electrical and Computer Engineering. UT Austin; Director, Center for Generative AI
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Turbocharging Protein Engineering with AI
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.
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Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension earns Best Paper Award at COLT 2024!
Authored by IFML Director Adam Klivans, students Gautam Chandrasekaran, Konstantinos Stavropoulos, IFML postdoc Vasilis Kontonis, and former UT CS PhD Raghu Meka
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Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice
Shaping the future of artificial intelligence