MICDE-CSE Seminar: Andrew Appel, Professor, Princeton University
BBB 3725 2260 Hayward St., Ann Arbor, United StatesFormally Verified Numerical Methods
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MICDE Seminar: Joshua Dolence, Research Scientist, Los Alamos National Lab
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesParthenon: a flexible framework for rapid development of performance portable multiphysics codes
Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesAlexander Coppeans (Aerospace Engineering): Aerodynamic Shape Optimization with Curved Mesh Adaptation
MICDE-IOE Seminar: Jong-Shi Pang, Professor, University of Southern California
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesHeaviside Composite Optimization, a new paradigm of optimization
Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesLiuyun Xu (Civil Engineering): Adaptive Deep Learning-Powered Multi-fidelity Stratified Sampling for Efficient Failure Analysis of Nonlinear Dynamic Systems
Jasmin Lim (Aerospace Engineering): A Hybrid Surrogate Modeling Framework for Digital Twins of Nuclear Energy Systems
Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesBaudouin Fonkwa Kamga (Mechanical Engineering): Numerical simulation of the collapse of a cavitation bubble near a deformable solid surface
Xinhai Hou (Bioinformatics): Scalable foundation model training for computational pathology
Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesNathaly Villacis (Mechanical Engineering): Unraveling Rotator Cuff Tendon Tear Growth Mechanisms with Full-Volume Strains and Data-Driven Modeling
Doruk Aksoy (Aerospace Engineering): Incremental Tensor Decompositions for Machine Learning and Bayesian Inference
Workshop / Seminar:Frontiers in Scientific Machine Learning (FSML) Seminar: Alexander Tong (Post-doctoral Fellow, Mila – Quebec AI Institute)
GG Brown Laboratory - 1642Abstract: Generative flow models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models, score matching models, and continuous normalizing flows. In this talk I will first present methods for improved training of flow models using flow matching objectives using ideas from optimal transport. I will then show how these […]
Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesAlex Kleb (Aerospace Engineering): Solving High Reynolds Number Flows on Cartesian Cut-cell Meshes using a Jacobian-Free Newton–Krylov Method
Alasdair Christison Gray (Aerospace Engineering): Geometrically Nonlinear Methods for High-Fidelity MDO of Very-Flexible Aircraft
MICDE-EECS Seminar: Mikhail Belkin, Professor, University of California San Diego
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesEmergence and grokking in "simple" architectures