Projects Archive - CCIMI - Cantab Capital Institute for the Mathematics of Information

Discrete Gaussian model

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Discrete time series segmentation with Bayesian Context Trees

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Neural Differential Equations

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Macroscopic behaviour in a two-species exclusion process via the method of matched asymptotics

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Sparse Canonical Correlation Analysis

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Energy conservation for weak solutions of fluid equations

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Sensitivity Analysis with the R^2-Calculus

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Data-Driven Optimization via Mirror Descent

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Physics-Informed Latent Spaces of Rayleigh-Bénard Convection

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Self-similar measures

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Regularity for Kinetic Equations

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Universal behavior of random walk on random planar maps

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Particle Aggregation models

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Detecting positive quantum capacities of quantum channels

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Adaptive Learning on Time Series: Method and Financial Applications

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Kronecker graph generation and analysis

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Functional Analysis of Neural Networks

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Unsupervised Medical Image Segmentation

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Geometric Aspects of the Cryo Electron Microscopy Pipeline

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Human oriented automatic theorem proving

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Semi-Supervised Learning and its Practical Application

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Deeply Learned Spectral Total Variation Decomposition

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Developing data-driven weather and climate models

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High-dimensional online changepoint detection and inference

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Non-Reversible Markov Chain Monte Carlo

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Estimating the risk of collapse of antarctic ice shelves

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Advanced analytical techniques for intensive care big data

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Formation and Adaption of Biological Transportation Networks

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Mathematics of machine learning: mathematical learning methods for adaptive and robust data analysis

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Mixing times

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We currently have 31 projects

Free energy of quantum systems

Discrete Gaussian model

Discrete time series segmentation with Bayesian Context Trees

Neural Differential Equations

Macroscopic behaviour in a two-species exclusion process via the method of matched asymptotics

Sparse Canonical Correlation Analysis

Energy conservation for weak solutions of fluid equations

Sensitivity Analysis with the R^2-Calculus

Data-Driven Optimization via Mirror Descent

Physics-Informed Latent Spaces of Rayleigh-Bénard Convection

Self-similar measures

Regularity for Kinetic Equations

Universal behavior of random walk on random planar maps

Particle Aggregation models

Detecting positive quantum capacities of quantum channels

Adaptive Learning on Time Series: Method and Financial Applications

Kronecker graph generation and analysis

Functional Analysis of Neural Networks

Unsupervised Medical Image Segmentation

Geometric Aspects of the Cryo Electron Microscopy Pipeline

Human oriented automatic theorem proving

Semi-Supervised Learning and its Practical Application

Deeply Learned Spectral Total Variation Decomposition

Developing data-driven weather and climate models

High-dimensional online changepoint detection and inference

Non-Reversible Markov Chain Monte Carlo

Estimating the risk of collapse of antarctic ice shelves

Advanced analytical techniques for intensive care big data

Formation and Adaption of Biological Transportation Networks

Mathematics of machine learning: mathematical learning methods for adaptive and robust data analysis

Mixing times