A learned feature descriptor for object recognition in RGB-D data. - Manuel Blum 002; Jost Tobias Springenberg; Jan Wülfing; Martin A. Riedmiller (ICRA, 2012)

Electricity Demand Forecasting using Gaussian Processes. - Manuel Blum 002; Martin A. Riedmiller (AAAI Workshop: Trading Agent Design and Analysis, 2013)

OpenEval: Web Information Query Evaluation. - Mehdi Samadi; Manuela M. Veloso; Manuel Blum 002 (AAAI, 2013)

Optimization of Gaussian process hyperparameters using Rprop. - Manuel Blum 002; Martin A. Riedmiller (ESANN, 2013)

Efficient and Robust Automated Machine Learning. - Matthias Feurer; Aaron Klein; Katharina Eggensperger; Jost Tobias Springenberg; Manuel Blum 002; Frank Hutter (NIPS, 2015)

ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. - Mehdi Samadi; Partha Pratim Talukdar; Manuela M. Veloso; Manuel Blum 002 (AAAI, 2016)

Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. - Wolfgang Groß; Sascha Lange; Joschka Bödecker; Manuel Blum 002 (ESANN, 2017)

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. - Maria Hügle; Simon Heller; Manuel Watter; Manuel Blum 002; Farrokh Manzouri; Matthias Dümpelmann; Andreas Schulze-Bonhage; Peter Woias; Joschka Boedecker (IJCNN, 2018)

Auto-sklearn: Efficient and Robust Automated Machine Learning. - Matthias Feurer; Aaron Klein; Katharina Eggensperger; Jost Tobias Springenberg; Manuel Blum 002; Frank Hutter (Automated Machine Learning, 2019)