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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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)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"BME and Scientific Computing" - Ashley Tan (Biomedical Engineering and Scientific Computing)
"Emergence of three-dimensional structures from vortex pair instabilities in shocked interfacial flows" - William White (Mechanical Engineering and Scientific Computing)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Embodying mechano-intelligence in mechanical metastructures for in-memory phononic learning" - Yuning Zhang (Mechanical Engineering and Scientific Computing)
"Global Probabilistic Geomagnetic Perturbation Forecasting" - Hongfan Chen (Mechanical Engineering and Scientific Computing)
Ph.D. in Scientific Computing Seminar Series
North Quad - 2185"Py-Conformational-Sampling: Towards Predicting Stereoselectivity" - Soumik Das (Chemistry and Scientific Computing)
"Materials Science and Engineering and Scientific Computing" - Woohyeon Baek (Materials Science and Engineering and Scientific Computing)
"Data-Driven Development of Constitutive Equations for Thixotropic Waxy Oil Rheology for Flow Assurance Using Symbolic Regression and PINNs" - Samuel Ogunwale (Chemical Engineering and Scientific Computing)