Publications

    Journal, Book-Chapter, Thesis:

  1. F. A. Gers and W. Boomgarden. Beschleunigte Medikamenten-Entwicklung durch virtuelles Screening. Pharma and Food, 2003. to appear.

  2. J. A. Pérez-Ortiz, F. A. Gers, D. Eck, and J. Schmidhuber. Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks, 16(2):241-250, 2002.

  3. J. Schmidhuber, F. A. Gers, and D. Eck. Learning nonregular languages: A comparison of simple recurrent networks and LSTM. Neural Computation, 14(9):2039-2041, 2002.

  4. F. A. Gers and J. Schmidhuber. LSTM recurrent networks learn simple context free and context sensitive languages. IEEE Transactions on Neural Networks, 12(6):1333-1340, 2001.

  5. F. A. Gers. Long Short-Term Memory in Recurrent Neural Networks. PhD thesis, Department of Computer Science, Swiss Federal Institute of Technology, Lausanne, EPFL, Switzerland, 2001.

  6. F. A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. Neural Computation, 12(10):2451-2471, 2000.

  7. F. A. Gers, J. Schmidhuber, and N. Schraudolph. Learning precise timing with LSTM recurrent networks. Journal of Machine Learning Research (JMLR), 3:115-143, 2002.

  8. F. A. Gers, H. De Garis, and M. Korkin. Evolution of neural sructures based on cellular automata. In C. Jain Lakhmi, editor, Soft Computing Techniques in Knowlage-based Intelligent Engineering Systems, pages 259-278. Physica-Verlag, Heidelberg New York, 1997.

  9. F. A. Gers, H. De Garis, and M. Korkin. A simplified cellular automata based neuron model. In J.K Hao, E. Lutton, E. Ronald, M. Schoennauer, and D. Snyers, editors, Artificial Evolution, pages 315-334. Springer Verlag, 1997.

  10. F. A. Gers and J. W. Czarske. Untersuchungen zur verteilten Temperatur-Sensorik mit stimulierter Brillouin-Streuung. In Laser'95 Conference Proceedings C P22, Note: Material aus Diplomarbeit, 1995.

    Conference, Workshop:

  11. F. A. Gers, J. A. Pérez-Ortiz, D. Eck, and J. Schmidhuber. DEKF-LSTM. In Verleysen, editor, 10th European Symposium on Artificial Neural Networks. ESANN'2002. Proceedings. Brussels, Belgium, pages 369-376, 2002.

  12. F. A. Gers, J. A. Pérez-Ortizand, D. Eck, and J. Schmidhuber. Learning context sensitive languages with LSTM trained with kalman filters. In J. Dorronsoro, editor, Proc. ICANN 2002, Int. Conf. on Artificial Neural Networks, pages 655-660, Berlin, 2002. Springer.

  13. J. A. Pérez-Ortizand, J. Schmidhuber, F. A. Gers, and D. Eck. Improving long-term online prediction with decoupled extended kalman filters. In J. Dorronsoro, editor, Proc. ICANN 2002, Int. Conf. on Artificial Neural Networks, pages 1055-1060, Berlin, 2002. Springer.

  14. F. A. Gers, D. Eck, and J. Schmidhuber. Applying LSTM to time series predictable through time-window approaches. In Proc. ICANN 2001, Int. Conf. on Artificial Neural Networks, Vienna, Austria, 2001. IEE, London.

  15. F. A. Gers, D. Eck, and J. Schmidhuber. Applying LSTM to time series predictable through time-window approaches. In M. Marinaro and R. Tagliaferri, editors, Neural Nets, WIRN Vietri-2001, Proceedings 11th Workshop on Neural Nets, Vietri sul Mare, Italy, 2001. Springer Verlag, Berlin.

  16. F. A. Gers and J. Schmidhuber. LSTM learns context free languages. In Snowbird 2000 Conference, 2000.

  17. F. A. Gers and J. Schmidhuber. Long Short-Term Memory learns context free and context sensitive languages. In Kurkova et./ al./, editor, Proceedings of the ICANNGA 2001 Conference, volume 1, pages 134-137, Wien,NY, 2001. Springer.

  18. F. A. Gers and J. Schmidhuber. Neural processing of complex continual input streams. In Proc. IJCNN'2000, Int. Joint Conf. on Neural Networks, Como, Italy, 2000.

  19. F. A. Gers and J. Schmidhuber. Recurrent nets that time and count. In Proc. IJCNN'2000, Int. Joint Conf. on Neural Networks, Como, Italy, 2000.

  20. M. Hough, H. De Garis, M. Korkin, F. A. Gers, and N. E. Nawa. Spiker : Analog waveform to digital spiketrain conversion in atr's artificial brain "cam-brain" project. In Int. Conf. on Robotics and Artificial Life, Beppu, Japan, 1999.

  21. Fred Cummins, Felix Gers, and Jürgen Schmidhuber. Language identification from prosody without explicit features. In Proceedings of EUROSPEECH'99, volume 1, pages 371-374, 1999.

  22. F. A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. In Proc. ICANN'99, Int. Conf. on Artificial Neural Networks, volume 2, pages 850-855, Edinburgh, Scotland, 1999. IEE, London.

  23. F. Cummins, F. A. Gers, and J. Schmidhuber. Automatic discrimination among languages based on prosody alone. Technical Report IDSIA-03-99, IDSIA, Lugano, CH, 1999.

  24. F. A. Gers, J. Schmidhuber, and F. Cummins. Continual prediction using LSTM with forget gates. In M. Marinaro and R. Tagliaferri, editors, Neural Nets, WIRN Vietri-99, Proceedings 11th Workshop on Neural Nets, pages 133-138, Vietri sul Mare, Italy, 1999. Springer Verlag, Berlin.

  25. H. De Garis, F. A. Gers, M. Korkin, A. Agah, and N. E. Nawa. Building an artificial brain using an FPGA based 'CAM-brain machine'. Artificial Life and Robotics Journal, 2:56-61, 1998.

  26. N. E. Nawa, H. De Garis, F. A. Gers, and M. Korkin. 'ATR's CAM-brain machine (CBM) simulation results and representation issues. In Genetic Programming Conference, 1998.

  27. F. A. Gers, H. De Garis, and M. Korkin. Codi-1bit : A cellular automata based neural net model simple enough to be implemented in evolvable hardware. In Int.Symposium on Artificial Life and Robotics (AROB), Beppu, Oita, Japan, 1998.

  28. M. Korkin, H. De Garis, F. A. Gers, and H. Hemmi. 'CBM (CAM-brain machine) : A hardware tool which evolves a neural net module in a fraction of a second and runs a million neuron artificial brain in real time. In Genetic Programming Conference, Stanford, USA, 1997.

  29. F. A. Gers and H. De Garis. Codi-1bit : A simplified cellular automata based neuron model. In Artificial Evolution Conference (AE), Nimes, France, 1997.

  30. F. A. Gers and H. De Garis. CAM-brain : A new model for ATR's cellular automata based artificial brain project. In Int. Conf. on Evolvable Systems Conference Proceedings (ICES) S7-5, Tsukuba, Japan, 1996.

  31. F. A. Gers and H. De Garis. Porting a cellular automata based artificial brain to MIT's cellular automata machine "CAM-8". In Int. Conf. on Simulated Evolution and Learnin (SEAL) S7-3, Taejon, Korea, 1996.

    Technical Report, Patent:

  32. F. A. Gers, D. Eck, and J. Schmidhuber. Applying LSTM to time series predictable through time-window approaches. Technical Report IDSIA-22-00, IDSIA, Manno, CH, 2000.

  33. F. A. Gers and J. Schmidhuber. Long Short-Term Memory learns context free languages and context sensitive languages. Technical Report IDSIA-03-00, IDSIA, Manno, CH, 2000.

  34. F. A. Gers and J. Schmidhuber. Neural processing of complex continual input streams. Technical Report IDSIA-02-00, IDSIA, Manno, CH, 2000.

  35. F. A. Gers and J. Schmidhuber. Recurrent nets that time and count. Technical Report IDSIA-01-00, IDSIA, Manno, CH, 2000.

  36. F. A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. Technical Report IDSIA-01-99, IDSIA, Lugano, CH, 1999.

  37. F. A. Gers and H. De Garis. Neurocellular automaton and optimizer. US patent No.:USP 6061674.