Gabriel Krummenacher

According to our database, Gabriel Krummenacher authored at least 7 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

Ðorðe Miladinovic, Christine Muheim, Stefan Bauer, Andrea Spinnler, Daniela Noain, Mojtaba Bandarabadi, Benjamin Gallusser, Gabriel Krummenacher, Christian R. Baumann, Antoine Adamantidis, Steven A. Brown, Joachim M. Buhmann

PLoS Comput. Biol., 2019

2018

Wheel Defect Detection With Machine Learning.

Gabriel Krummenacher, Cheng Soon Ong, Stefan Koller, Seijin Kobayashi, Joachim M. Buhmann

IEEE Trans. Intell. Transp. Syst., 2018

2016

Scalable and Robust Supervised Learning Through Random Approximations.

Gabriel Krummenacher

PhD thesis, 2016

Scalable Adaptive Stochastic Optimization Using Random Projections.

Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Fast and Robust Least Squares Estimation in Corrupted Linear Models.

Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M. Buhmann

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Near-optimal experimental design for model selection in systems biology.

Alberto Giovanni Busetto, Alain Hauser, Gabriel Krummenacher, Mikael Sunnåker, Sotiris Dimopoulos, Cheng Soon Ong, Jörg Stelling, Joachim M. Buhmann

Bioinform., 2013

Ellipsoidal Multiple Instance Learning.

Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann

Proceedings of the 30th International Conference on Machine Learning, 2013