(LaTex bib file)

Journal, Book-Chapter, Thesis:

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

• 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. (Gzipped PostScript, 23 pages, 122547 bytes) (PDF, 309253 bytes)

• 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. (Gzipped PostScript, 5 pages, 62797 bytes) (PDF, 71524 bytes)

• 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. (Gzipped PostScript, 14 pages, 130308 bytes) (PDF, 330683 bytes)

• 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. (Gzipped PostScript, 102 pages, 485269 bytes) (PDF, 1300159 bytes)

• F. A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. Neural Computation, 12(10):2451-2471, 2000. (Gzipped PostScript, 20 pages, 144674 bytes) (PDF, 358394 bytes)

• 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. (Gzipped PostScript, 29 pages, 172717 bytes) (PDF, 474948 bytes)

• 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. (Gzipped PostScript, 22 pages, 255513 bytes) (PDF, 492598 bytes)

• 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.

• 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:

• 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. (Gzipped PostScript, 8 pages, 55915 bytes) (PDF, 155099 bytes)

• 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. (Gzipped PostScript, 6 pages, 46179 bytes) (PDF, 132140 bytes)

• 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. (Gzipped PostScript, 6 pages, 48964 bytes) (PDF, 151782 bytes)

• 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. (Gzipped PostScript, 9 pages, 71227 bytes) (PDF, 181609 bytes)

• 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.

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

• 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. (Gzipped PostScript, 4 pages, 54412 bytes) (PDF, 155749 bytes)

• 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. (Gzipped PostScript, 6 pages, 68548 bytes) (PDF, 194541 bytes)

• 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. (Gzipped PostScript, 6 pages, 73488 bytes) (PDF, 206047 bytes)

• 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.

• 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. (Gzipped PostScript, 6 pages, 50243 bytes) (PDF, 121554 bytes)

• 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. (Gzipped PostScript, 7 pages, 102808 bytes) (PDF, 283530 bytes)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• F. A. Gers and H. De Garis. Codi-1bit : A simplified cellular automata based neuron model. In Artificial Evolution Conference (AE), Nimes, France, 1997. (Gzipped PostScript, 19 pages, 242232 bytes) (PDF, 3388685 bytes)

• 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. (Gzipped PostScript, 16 pages, 242661 bytes) (PDF, 3557385 bytes)

• 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. (Gzipped PostScript, 7 pages, 323137 bytes) (PDF, 1723974 bytes)

  Technical Report, Patent:

• 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.

• 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.

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

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

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

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