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Plenary Talk: Scalable Approaches to Modelling Longitudinal Neuroimaging Data
Presenter
- Nichols, Thomas
August 29, 2024
IMSI
Orthogonal matrix retrieval with spatial consensus for 3D unknown-view tomography
Presenter
- Zhizhen Zhao
August 7, 2024
IMSI
Data-adaptive RKHS regularization for learning kernels in operators
Presenter
- Fei Lu
May 17, 2024
IMSI
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
May 15, 2024
IMSI
Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning
Presenter
- Christophe Chipot
April 26, 2024
IMSI
Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry
Presenter
- Teresa Head-Gordon
April 8, 2024
IMSI
Wave function accuracy beyond the mode in variation Monte Carlo
Presenter
- Jonathan Weare
March 27, 2024
IMSI
Scalable Machine Learning for Predicting the Electronic Structure of Matter
Presenter
- Attila Cangi
March 25, 2024
IMSI
On Asymptotic Kinetic and Moment Models and their Numerics in Strong Magnetic Fields
Presenter
- James Juno
February 22, 2024
IMSI
Implicit, asymptotic-preserving and energy-conserving time integration for particle-in-cell simulation of plasmas with arbitrary magnetization
Presenter
- Lee Ricketson
February 22, 2024
IMSI
Philipp Schlegel - Insights from Comparative Connectomics in Drosophila - IPAM at UCLA
Presenter
- Philipp Schlegel
February 12, 2024
IPAM