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Presenter: Diego Camilo Arenas (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: Scalable Methods for Bayesian Sampling and MAP Estimation in Time-Varying Inverse Problems | Presenter: Nan Chen (University of Wisconsin, Madison) Collaborator(s): Title: CGKN: A Deep Learning Digital Twin Framework for Stochastic Modeling, Forecast, and Data Assimilation |
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Presenter: Nicolas Martin Guerra (Cornell University) Collaborator(s): Nicholas H. Nelsen, Yunan Yang Title: Learning Where to Learn: Training Distribution Selection for Provable OOD Performance | Presenter: Yixuan Jia (University of Michigan) Collaborator(s): Siyi Chen*, Yixuan Jia*, Qing Qu, He Sun, Jeffrey Fessler Title: FlowDAS: A Stochastic Interpolants-based Framework for Data Assimilation |
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Presenter: Aryeh Keating (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: A Sequential Framework of Dimension-Reduced Expectation–Maximization with Optical Flow for Scalable Dynamic X-Ray CT | Presenter: Marco Mangano (Argonne National Laboratory) Collaborator(s): Sven Leyffer, Carlo Graziani, Paul Manns Title: Optimal experimental design for digital twins using a network-flow approach |
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Presenter: Aimee Maurais (Massachusetts Institute of Technology (MIT)) Collaborator(s): Bamdad Hosseini, Youssef Marzouk Title: Learning Paths for Dynamic Transport: A Control Perspective | Presenter: Charlotte Rose Moser (University of Wisconsin Madison) Collaborator(s): Pouria Behnoudfar, Marc Bocquet, Sibo Cheng, Nan Chen Title: Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators |
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Presenter: Sonia Reilly (New York University) Collaborator(s): Georg Stadler Title: Bayesian Inference for Latent Gaussian Models Governed by PDEs | Presenter: Rudi Smith (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha, Grey Ballard, Hussam Al Daas Title: Structured Sketching for Fast and Scalable Tucker Tensor Summation |
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Presenter: Liliang Wang (University of Michigan) Collaborator(s): Alex Gorodetsky Title: Towards understanding the errors in online Bayesian data assimilation | Presenter: Marissa Whitby (Stevens Institute of Technology) Collaborator(s): Kathrin Smetana, Tommaso Taddei, Zhiyu Yin Title: Probabilistic Error Analysis of a Randomized Proper Orthogonal Decomposition |