Sarah Middle
Sampling with Confidence
Optimal Transport in Data Sciences
Diffeomorphic Learning
Bayesian Inference for Non-linear Inverse Problems
Continuum Limits in Semi-Supervised Learning
Geometric Methods for the Approximation of High-Dimensional Data Sets and High-Dimensional Dynamical Systems
Large Data Limits for Graphical Models
Dimensionality Reduction Techniques in Medical Data Analysis
High Dimensional Changepoint Estimation via Sparse Projection
Using Novel Data Sources to Model Commodity Markets
Surface Approximations and Geometric Energies
Your Browser Can Prove Your Lemmas
Novel Uses of Shipping Data in Commodity Markets
Nonparametric Estimation of Diffusions in the Low-Frequency Setting
Reconstruction Methods in Transmission Electron Tomography
Learning a Sampling Pattern for MRI
Approaches to Sampling and Inference for Bayesian Nonparametrics
Photoacoustic Tomography with Total Variation Regularisation
Quantum Entropies Through Convex Optimisation
Sparse Principal Component Analysis via Random Projections
Welcome and Introduction, Update from CCIMI
Joe Keller and the Courant Institute 1970-71: Beginning a Mathematical Journey
Segmentation of Organs at Risk for Radiotherapy Planning
Mass Spectrometry Imaging in Drug Discovery: The Challenges and Opportunities for Molecular Imaging from Single Cells, Preclinical Models and Through to Intraoperatively
The Human Connectome Project Multimodal Cortical Parcellation: New Avenues for Brain Research
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