IFML Seminar
IFML Seminar: 04/17/26 - Learning and guidance approaches for generative and physics-driven models in computational MRI
Abstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, computational MRI techniques for reconstruction from sub-sampled noisy data have received great...
Upcoming Events
- April1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-…
Past Events
- February1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Particle physicists developed an algorithm called COWs (Customized Orthogonal Weights) for separating signals from backgrounds in certain…
- February612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Modern generative AI has developed along two distinct paths: autoregressive models for language and diffusion models for image and...
- November2112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Intelligence often emerges through interaction and competition. Likewise, advanced AI algorithms often rely on competing learning objectives.…
- November1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Diffusion language models (DLMs) represent a nascent but promising alternative to GPT-style autoregressive (AR) language models: as opposed to...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
- November59:30am - 5 pm
Workshop
Event DetailsCelebrating five years of innovation with perspectives on foundation models, diffusion, LLMs, vision, and the future of generative AI
