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Paul Cazeaux - Randomized Algorithms for Rounding and Rank Compression in the Tensor Train Format
Presenter
- Paul Cazeaux
November 7, 2023
IPAM
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
Dilworth Dula Parkinson - X-ray micro-tomography at the Advanced Light Source & NERSC superfacility
Presenter
- Dilworth Parkinson
May 3, 2023
IPAM
Redesigning Sample Transportation in Malawi Through Improved Data Sharing and Daily Route Optimization
Presenter
- Jonas Jonasson
May 2, 2023
IMSI
Optimal Scheduling of Proactive Care with Patient Deterioration
Presenter
- Jing Dong
April 6, 2023
IMSI
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Presenter
- Mary Scott
December 1, 2022
IPAM
Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
Presenter
- Anna Little
November 28, 2022
IPAM
Geoffrey Woollard - Stochastic inference and Computational Optimal Transport in 3D heterogeneity
Presenter
- Geoffrey Woollard
November 14, 2022
IPAM
Sampling Strategies for Training Machine Learning Emulators of Gravity Wave
Presenter
- Minah Yang
November 2, 2022
IMSI
Andrew Maiden - Ptychographic imaging via set projection algorithms - IPAM at UCLA
Presenter
- Andrew Maiden
October 28, 2022
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
High-dimensional extreme quantile regression using partially-interpretable neural networks
Presenter
- Raphael Huser
October 5, 2022
IMSI