| Learning to forget: Continual prediction with LSTM FA Gers, J Schmidhuber, F Cummins IET Digital Library, 1999 | 3965 | 1999 |
| Learning precise timing with LSTM recurrent networks FA Gers, NN Schraudolph, J Schmidhuber Journal of machine learning research 3 (Aug), 115-143, 2002 | 1300 | 2002 |
| LSTM recurrent networks learn simple context-free and context-sensitive languages FA Gers, E Schmidhuber IEEE Transactions on Neural Networks 12 (6), 1333-1340, 2001 | 592 | 2001 |
| Recurrent nets that time and count FA Gers, J Schmidhuber Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 569 | 2000 |
| Applying LSTM to time series predictable through time-window approaches FA Gers, D Eck, J Schmidhuber Neural Nets WIRN Vietri-01, 193-200, 2002 | 347 | 2002 |
| Long short-term memory in recurrent neural networks F Gers Verlag nicht ermittelbar, 2001 | 265 | 2001 |
| Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets JA Pérez-Ortiz, FA Gers, D Eck, J Schmidhuber Neural Networks 16 (2), 241-250, 2003 | 98 | 2003 |
| CoDi-1Bit: A simplified cellular automata based neuron model F Gers, H De Garis, M Korkin European Conference on Artificial Evolution, 315-333, 1997 | 80 | 1997 |
| Learning nonregular languages: A comparison of simple recurrent networks and LSTM J Schmidhuber, F Gers, D Eck Neural computation 14 (9), 2039-2041, 2002 | 77 | 2002 |
| Building an artificial brain using an FPGA based CAM-Brain Machine H De Garis, M Korkin, F Gers, E Nawa, M Hough Applied Mathematics and Computation 111 (2-3), 163-192, 2000 | 55 | 2000 |
| Language identification from prosody without explicit features F Cummins, F Gers, J Schmidhuber Sixth European Conference on Speech Communication and Technology, 1999 | 50 | 1999 |
| How does BERT answer questions? A layer-wise analysis of transformer representations B van Aken, B Winter, A Löser, FA Gers Proceedings of the 28th ACM International Conference on Information and …, 2019 | 32 | 2019 |
| “CAM-brain” ATR's billion neuron artificial brain project: A three-year progress report H de Garis, N Nawa, F Gers, M Korkin, A Agah Artificial life and robotics 2 (2), 56-61, 1998 | 26 | 1998 |
| CAM-Brain: A new model for ATR's cellular automata based artificial brain project F Gers, H de Garis International Conference on Evolvable Systems, 437-452, 1996 | 26 | 1996 |
| Long short-term memory learns context free and context sensitive languages FA Gers, J Schmidhuber Artificial Neural Nets and Genetic Algorithms, 134-137, 2001 | 22 | 2001 |
| ATR's artificial brain (" CAM-Brain") project: A sample of what individual" CoDi-1 Bit" model evolved neural net modules can do with digital and analog I/O H De Garis, A Buller, M Korkin, F Gers, NE Nawa, M Hough Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, 102-110, 1999 | 22 | 1999 |
| Analysing errors of open information extraction systems R Schneider, T Oberhauser, T Klatt, FA Gers, A Löser arXiv preprint arXiv:1707.07499, 2017 | 19 | 2017 |
| Automatic discrimination among languages based on prosody alone F Cummins, F Gers, J Schmidhuber, C Elvezia Speech Communication, 1999 | 19 | 1999 |
| SPIKER: Analog waveform to digital spiketrain conversion in ATR’s artificial brain (cam-brain) project M Hough, H De Garis, M Korkin, F Gers, NE Nawa International conference on robotics and artificial life 92, 1999 | 19 | 1999 |
| Sector: A neural model for coherent topic segmentation and classification S Arnold, R Schneider, P Cudré-Mauroux, FA Gers, A Löser Transactions of the Association for Computational Linguistics 7, 169-184, 2019 | 16 | 2019 |
Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIAdresse e-mail validée de idsia.ch
