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Improving perturbation-based explanations by understanding the role of uncertainty calibration
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Toward trustworthy healthcare AI: designing academic research for translation readiness
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Tumor-associated epilepsy and high expression of xCT shape the proteome of IDH-wildtype glioblastoma
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Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian processes
Learning representations of single-cell genomics data is challenging due to the nonlinear and often multi-modal nature of the data on …
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Application-driven validation of posteriors in inverse problems
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Decoding heart failure subtypes with neural networks via differential explanation analysis
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How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
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Disentangling Mean Embeddings for Better Diagnostics of Image Generators
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Exploratory analysis of metabolic changes using mass spectrometry data and graph embeddings
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Metrics reloaded: recommendations for image analysis validation
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