We currently have 31 projects

Free energy of quantum systems

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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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