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Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA
Presenter
- Jochen Garcke
March 12, 2026
IPAM
John Jakeman - Forward Uncertainty Quantification - IPAM at UCLA
Presenter
- John Jakeman
March 11, 2026
IPAM
Tomo-Hiko Watanabe - Zonal flows and turbulence in helical systems: a tutorial - IPAM at UCLA
Presenter
- Tomo-Hiko Watanabe
March 10, 2026
IPAM
Ophelia Crawford - Some aspects of hardware-aware quantum error correction - IPAM at UCLA
Presenter
- Ophelia Crawford
February 20, 2026
IPAM
Athena Caesura - Deeper Compilation in the Active Volume Architecture - IPAM at UCLA
Presenter
- Athena Caesura
February 19, 2026
IPAM
Daan Camps - Measurement-Driven Quantum Algorithms: Eigensolvers and Evaluation of Matrix Functions
Presenter
- Daan Camps
February 18, 2026
IPAM
Zhiyan Ding - Ground State Preparation for Near-Term Devices using System-Bath Coupling Dynamics
Presenter
- Zhiyan Ding
February 18, 2026
IPAM
Data-Driven DRO and Economic Decision Theory: An Analytical Synthesis With Bayesian Nonparametric Advancements
Presenter
- Nhat Ho
January 16, 2026
ICERM
Neural Network Gaussian Processes for Multiplex Networks: Joint Modeling of Dynamics and Attributes under Partial Observation
Presenter
- Sharmistha Guha
January 15, 2026
ICERM
Lin Lin - Dissipative Preparation of Thermal and Ground States - IPAM at UCLA
Presenter
- Lin Lin
January 12, 2026
IPAM
Clustering Spatial Transcriptomics Data with Dirichlet Process Mixture of Random Spanning Trees
Presenter
- Yang Ni
January 12, 2026
ICERM
Bayesian Varying-Effects Regression Models via Gaussian Process Priors
Presenter
- Marina Vannucci
January 12, 2026
ICERM