FSML Lecture Series – Panos Stinis: When big neural networks are not enough: physics, multi-fidelity and kernels
2004 Lay Auto LabWhen big neural networks are not enough: physics, multi-fidelity and kernels
10 events found.
Events
Engineering
Events
FSML Lecture Series – Ricardo Vinuesa: Identifying coherent structures and controlling turbulent flows through deep learning
2210 Lurie Engineering Center 1221 Beal Ave, Ann Arbor, MIIdentifying coherent structures and controlling turbulent flows through deep learning
FSML Lecture Series – Doruk Aksoy: From Turbulent Flows to Video Games: Managing Large-Scale Data with Tensor Decomposition
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFrom Turbulent Flows to Video Games: Managing Large-Scale Data with Tensor Decomposition
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
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
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
MICDE Nobel Prize Lectures
Forum Hall, Palmer Commons 100 Washtenaw Ave, Ann Arbor, MI, United States2024 Nobel Prizes in Physics and Chemistry
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Bridging Wavefunctions and Density Functionals: Unlocking Accurate Data for Functional Development" - Vaibhav Khanna (Chemistry and Scientific Computing)
"Turbulence transport and size segregation of shock-driven multiphase flows" - Archana Sridhar (Aerospace Engineering and Scientific Computing)