The scheduling for individual talk is undergoing. If you have any questions please contact your session organizers directly.
Special Session 113: Recent Advances in Uncertainty Quantification and Scientific Machine Learning with Applications to Complex Dynamical Systems Organizer(s): Marios Andreou , Konstantinos Zygalakis , Nan Chen

Parallel Session 12 :: Friday, 07/10, 8:00-10:00                                   Room 827                
 8:00-8:30  Sumith Reddy Anugu (TU Ilmenau, Germany)
 New results in feedback particle filter
 8:30-9:00  Fabio Nobile (Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland)
 Dynamical Low-Rank Ensemble Kalman filtering
 9:00-9:30  Tijana Janjic (KU Eichstaett Ingolstadt, Germany)
 Capturing Prediction Uncertainty in Data Assimilation
 9:30-10:00  Marc BOCQUET (\`Ecole nationale des ponts et chauss\`ees, France)
 Learning data assimilation from artificial intelligence

Parallel Session 13 :: Friday, 07/10, 10:30-12:30                                   Room 827                 
 10:30-11:00  Soon Hoe Lim (KTH Royal Institute of Technology and Nordita, Sweden)
 On the Potential and Pitfalls of Flow Matching for Probabilistic Forecasting
 11:00-11:30  Quanling Deng (Yau Mathematical Sciences Center, Peoples Rep of China)
 Multiscale Modelling and Data Assimilation for Sea Ice Dynamics
 11:30-12:00  Ioannis Papastathopoulos (University of Edinburgh, Scotland)
 Geometric extremal graphical models
 12:00-12:30  Ilias Bilionis (Purdue University, USA)
 Scalable Method for Unsupervised Reconstruction of Flow (SMURF) with application to clinical 4D flow MRI data

Parallel Session 14 :: Friday, 07/10, 13:30-16:00                                   Room 827                  
 13:30-14:00  Marios Andreou (University of Wisconsin-Madison, USA)
 Assimilative Causal Inference: Tracing Causes from Effects to Predict and Attribute Significant Events
 14:00-14:30  Daniel Sanz-Alonso (University of Chicago, USA)
 Data assimilation with machine-learned dynamics
 14:30-15:00  Konstantinos Spiliopoulos (Boston University, USA)
 Global Convergence of Adjoint-Optimized Neural PDEs
 15:00-15:30  Aretha Teckentrup (University of Edinburgh, Scotland)
 Neural network surrogates with uncertainty quantification for inverse problems
 15:30-16:00  Josef Martinek (Heidelberg University, Germany)
 Sequential Monte Carlo for Bayesian Inference Using Randomized Likelihoods

Parallel Session 15 :: Friday, 07/10, 16:30-19:00                                   Room 827                
 16:30-17:00  Samuel Isaacson (Boston University, USA)
 Spatial Jump Process Models for Estimating Antibody-Antigen Interactions
 17:00-17:30  Di Qi (Purdue University, USA)
 Reduced-order models for data assimilation and uncertainty quantification of multiscale turbulent systems
 17:30-18:00  Savvas Melidonis (Forschungszentrum Juelich GmbH, Germany)
 HClimRep: a Foundation Model for capturing interactions between the atmosphere, ocean, and sea ice