Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 904 | 2016 |
Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 205 | 2016 |
Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 49 | 2016 |
Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 30 | 2016 |
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688, 2016 | 23 | 2016 |
Exploiting Similarity in System Identification Tasks with Recurrent Neural Networks S Spieckermann, S Düll, S Udluft, A Hentschel, T Runkler Neurocomputing, 2015 | 16 | 2015 |
Exploiting Similarity in System Identification Tasks with Recurrent Neural Networks S Spieckermann, S Düll, S Udluft, A Hentschel, T Runkler European Symposium on Artificial Neural Networks, Computational Intelligence …, 2014 | 16 | 2014 |
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688. Project URL http://github. com/Theano …, 2016 | 11 | 2016 |
Controlling a Target System S Düll, M Munshi, S Spieckermann, S Udluft US Patent App. 14/258,740, 2015 | 8 | 2015 |
Data-Efficient Temporal Regression with Multi-Task Recurrent Neural Networks S Spieckermann, S Udluft, T Runkler Advances in Neural Information Processing Systems (NIPS), Second Workshop on …, 2014 | 6 | 2014 |
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks S Baier, S Spieckermann, V Tresp European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017 | 5 | 2017 |
Method, controller, and computer program product for controlling a target system S Düll, M Munshi, S Spieckermann, S Udluft US Patent App. 15/297,342, 2017 | 4 | 2017 |
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning S Spieckermann, S Düll, S Udluft, T Runkler International Conference on Artificial Neural Networks (ICANN), 17-24, 2014 | 4 | 2014 |
Method and apparatus for determining a network topology of a hierarchical network D Beyer, D Krompaß, S Spieckermann US Patent 10,547,513, 2020 | 3 | 2020 |
Method and apparatus for optimizing diagnostics of rotating equipment B Andrassy, R Arnatt, A Avdovic, M Buckley, F Buggenthin, ... EP Patent App. 3223095A1, 2017 | 3* | 2017 |
Multi-System Identification for Efficient Knowledge Transfer with Factored Tensor Recurrent Neural Networks S Spieckermann, S Düll, S Udluft, T Runkler European Conference on Machine Learning (ECML), Workshop on Generalization …, 2014 | 3 | 2014 |
Automated Patent Classification I Christopher, L Sydney, S Spieckermann Stanford University, CS229: Machine Learning, 2011 | 3 | 2011 |
Multi-task and transfer learning with recurrent neural networks S Spieckermann Technische Universität München, 2015 | 1 | 2015 |
Method and apparatus for automatic identification of an outage of a network node D Beyer, D Krompaß, S Spieckermann US Patent 10,848,386, 2020 | | 2020 |
Determining a network topology of a hierarchical power supply network S Spieckermann, D Krompaß, D Beyer EP Patent App. 3345342A1, 2018 | | 2018 |