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03/08/2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Distribution shifts remain a fundamental problem for the safe applicatio...
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03/07/2023
AI for Science: An Emerging Agenda
This report documents the programme and the outcomes of Dagstuhl Seminar...
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10/21/2022
Efficient identification of informative features in simulation-based inference
Simulation-based Bayesian inference (SBI) can be used to estimate the pa...
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10/18/2022
Unsupervised visualization of image datasets using contrastive learning
Visualization methods based on the nearest neighbor graph, such as t-SNE...
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06/10/2022
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering
To avoid the curse of dimensionality, a common approach to clustering hi...
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05/16/2022
Sparse Visual Counterfactual Explanations in Image Space
Visual counterfactual explanations (VCEs) in image space are an importan...
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08/17/2021
Estimating smooth and sparse neural receptive fields with a flexible spline basis
Spatio-temporal receptive field (STRF) models are frequently used to app...
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07/17/2020
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum
Neighbor embeddings are a family of methods for visualizing complex high...
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06/18/2020
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data
In recent years, increasingly large datasets with two different sets of ...
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02/15/2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations
T-distributed stochastic neighbour embedding (t-SNE) is a widely used da...
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02/28/2015
