Probabilistic Deep Learning von Oliver Duerr, Elvis Murina, Beate Sick

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Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability von Sick, Beate, Duerr, Oliver

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Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks von Dürr, Oliver, Sick, Beate

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Integrating uncertainty in deep neural networks for MRI based stroke analysis von Herzog, Lisa, Murina, Elvis, Dürr, Oliver, Wegener, Susanne, Sick, Beate

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Toward a Renewed Theological Culture: Introduction von Dürr, Oliver, Chalamet, Christophe

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Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows von Arpogaus, Marcel, Voss, Marcus, Sick, Beate, Nigge-Uricher, Mark, N, Oliver Durr

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Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays von Berlin, Clara, Adomeit, Sonja, Grover, Priyanka, Dreischarf, Marcel, Halm, Henry, Dürr, Oliver, Obid, Peter

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Bayesian Calibration of MEMS Accelerometers von Durr, Oliver, Fan, Po-Yu, Yin, Zong-Xian

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Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks von Rohrbach, Janick, Reinhard, Tobias, Sick, Beate, Dürr, Oliver

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Deep transformation models for functional outcome prediction after acute ischemic stroke von Herzog, Lisa, Kook, Lucas, Götschi, Andrea, Petermann, Katrin, Hänsel, Martin, Hamann, Janne, Dürr, Oliver, Wegener, Susanne, Sick, Beate

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Incentives in optimally sized teams for projects with uncertain returns von Dürr, Oliver, Nisch, Markus, Rohlfing-Bastian, Anna

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Bernstein flows for flexible posteriors in variational Bayes von Dürr, Oliver, Hörtling, Stefan, Dold, Danil, Kovylov, Ivonne, Sick, Beate

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Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes von Dürr, Oliver, Murina, Elvis, Siegismund, Daniel, Tolkachev, Vasily, Steigele, Stephan, Sick, Beate

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Gene Expression Signatures Predictive of Bevacizumab/Erlotinib Therapeutic Benefit in Advanced Nonsquamous Non-Small Cell Lung Cancer Patients (SAKK 19/05 trial) von Franzini, Anca, Baty, Florent, Macovei, Ina I, Dürr, Oliver, Droege, Cornelia, Betticher, Daniel, Grigoriu, Bogdan D, Klingbiel, Dirk, Zappa, Francesco, Brutsche, Martin H

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Learning Neural Models for End-to-End Clustering von Meier, Benjamin Bruno, Elezi, Ismail, Amirian, Mohammadreza, Dürr, Oliver, Stadelmann, Thilo

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Robust Hit Identification by Quality Assurance and Multivariate Data Analysis of a High-Content, Cell-Based Assay von Dürr, Oliver, Duval, François, Nichols, Anthony, Lang, Paul, Brodte, Annette, Heyse, Stephan, Besson, Dominique

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Strategic Incentives for Keeping One Set of Books in International Transfer Pricing von Dürr, Oliver M., Göx, Robert F.

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Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering von Stadelmann, Thilo, Glinski-Haefeli, Sebastian, Gerber, Patrick, Dürr, Oliver

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Building loss functions with the likelihood approach von Duerr, Oliver, Sick, Beate

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Bayesian learning von Duerr, Oliver, Sick, Beate

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