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Topology-Driven Learning for Biomedical Images – Uncertainty, Synthesis, and Prediction
Presenter
- Chao Chen
May 20, 2026
ICERM
Uncertainty Quantification for Learning-based Computational Imaging
Presenter
- M\u00fcjdat \u00c7etin
August 5, 2024
IMSI
Multiscale Diffusion Geometry for Learning Manifolds, Flows and Optimal Transport
Presenter
- Smita Krishnaswamy
June 27, 2023
ICERM
Introduction to Machine Learning for Gravitational Wave Astronomy (Part 1/2): General concepts and terminology
Presenter
- Antonio Marquina
September 15, 2021
IPAM
Deep Learning: Triangle Machine Learning Day - Machine Learning for 3D Imaging, Sayan Mukherjee
September 20, 2019
SAMSI
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Presenter
- Bartolomeo Stellato
March 1, 2023
IPAM
Multi-scale modeling of materials revisited: Accelerated computing and machine learning
Presenter
- Kaushik Bhattacharya
February 15, 2021
IMSI
Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning
Presenter
- Lior Horesh
February 4, 2026
ICERM
Applications of No-Collision Transportation Maps in Manifold Learning
Presenter
- Elisa Negrini
May 9, 2023
ICERM
On Sparse Linear Programming and (simple) neural networks
Presenter
- Joan Bruna
February 24, 2021
IPAM
Team 3: Fast nearest neighbor search in massive high-dimensional sparse data sets
Presenter
- Sanjiv Kumar
August 3, 2011
IMA