FSML Lecture Series – Alexander Tong (Mila – Quebec AI Institute): Flow matching in cell trajectories and protein design
1642 GGBL 2350 HAYWARD ST, Ann Arbor, United StatesFlow matching in cell trajectories and protein design
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Events
FSML
Events
FSML Lecture Series – Lianghao Cao (Caltech): Derivative-Informed Operator Learning with Applications to Cost-Efficient Bayesian Inversion
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFlow matching in cell trajectories and protein design
FSML Lecture Series – Julie Bessac (National Renewable Energy Laboratory): Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution
GG Brown Laboratory - 2636Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution
FSML Lecture Series – Smita Krishnaswamy (Yale University): Dynamics Models of Cellular and Neuronal Interactions
GG Brown Laboratory - 1642Dynamics Models of Cellular and Neuronal Interactions
Frontiers in Scientific Machine Learning Seminar – Ashwin Renganathan (Penn State): Sample-efficient and Principled Decision-making with Expensive Stochastic Oracles
GG Brown Laboratory - 1642Sample-efficient and Principled Decision-making with Expensive Stochastic Oracles
Frontiers in Scientific Machine Learning Seminar – Pan Du (University of Notre Dame): Conditional neural field latent diffusion model for generating spatiotemporal turbulence
GG Brown Laboratory - 1642Conditional neural field latent diffusion model for generating spatiotemporal turbulence
Frontiers in Scientific Machine Learning Seminar – Romit Maulik (Penn State University): SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
2004 Lay Auto LabConditional neural field latent diffusion model for generating spatiotemporal turbulence
Frontiers in Scientific Machine Learning Seminar 17: SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Walter E Lay Auto Lab - 2004SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning