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2020 – today
- 2020
[c18]Rudolf Schneider, Tom Oberhauser, Paul Grundmann, Felix A. Gers, Alexander Löser, Steffen Staab:
Is Language Modeling Enough? Evaluating Effective Embedding Combinations. LREC 2020: 4739-4748- [c17]Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
VisBERT: Hidden-State Visualizations for Transformers. WWW (Companion Volume) 2020: 207-211 - [c16]Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser:
Learning Contextualized Document Representations for Healthcare Answer Retrieval. WWW 2020: 1332-1343 - [i7]Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser:
Learning Contextualized Document Representations for Healthcare Answer Retrieval. CoRR abs/2002.00835 (2020)
2010 – 2019
- 2019
- [j7]Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser:
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. Trans. Assoc. Comput. Linguistics 7: 169-184 (2019) - [c15]Torsten Kilias, Alexander Löser
, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten:
IDEL: In-Database Neural Entity Linking. BigComp 2019: 1-8 - [c14]Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations. CIKM 2019: 1823-1832 - [i6]Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser:
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. CoRR abs/1902.04793 (2019) - [i5]Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations. CoRR abs/1909.04925 (2019) - 2018
- [i4]Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin L. Kersten:
IDEL: In-Database Entity Linking with Neural Embeddings. CoRR abs/1803.04884 (2018) - [i3]Iurii Chernushenko, Felix A. Gers, Alexander Löser, Alessandro Checco:
Crowd-Labeling Fashion Reviews with Quality Control. CoRR abs/1805.09648 (2018) - 2017
- [c13]Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser:
RelVis: Benchmarking OpenIE Systems. International Semantic Web Conference (Posters, Demos & Industry Tracks) 2017 - [i2]Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser:
Analysing Errors of Open Information Extraction Systems. CoRR abs/1707.07499 (2017) - 2016
- [i1]Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser:
Robust Named Entity Recognition in Idiosyncratic Domains. CoRR abs/1608.06757 (2016)
2000 – 2009
- 2003
- [j6]Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks 16(2): 241-250 (2003) - 2002
- [j5]Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber:
Learning Precise Timing with LSTM Recurrent Networks. J. Mach. Learn. Res. 3: 115-143 (2002) - [j4]Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. Neural Comput. 14(9): 2039-2041 (2002) - [c12]Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
DEKF-LSTM. ESANN 2002: 369-376 - [c11]Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. ICANN 2002: 655-660 - [c10]Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. ICANN 2002: 1055-1069 - 2001
- [j3]Felix A. Gers, Jürgen Schmidhuber:
LSTM recurrent networks learn simple context-free and context-sensitive languages. IEEE Trans. Neural Networks 12(6): 1333-1340 (2001) - [c9]Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable through Time-Window Approaches. ICANN 2001: 669-676 - [c8]Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable Through Time-Window Approaches. WIRN 2001: 193-200 - 2000
- [j2]Hugo de Garis, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough:
Building an artificial brain using an FPGA based CAM-Brain Machine. Appl. Math. Comput. 111(2-3): 163-192 (2000) - [j1]Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins:
Learning to Forget: Continual Prediction with LSTM. Neural Comput. 12(10): 2451-2471 (2000) - [c7]Felix A. Gers, Jürgen Schmidhuber:
Recurrent Nets that Time and Count. IJCNN (3) 2000: 189-194 - [c6]Felix A. Gers, Jürgen Schmidhuber:
Neural Processing of Complex Continual Input Streams. IJCNN (4) 2000: 557-562
1990 – 1999
- 1999
- [c5]Hugo de Garis, Norberto Eiji Nawa, Andrzej Buller, Michael Korkin, Felix A. Gers, Michael Hough:
ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O. Evolvable Hardware 1999: 102-110 - [c4]Hugo de Garis, Andrzej Buller, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough:
ATR's Artificial Brain ("CAM-Brain") Project: A Sample of What Individual "CoDi-1Bit" Model Evolved Neural Net Modules Can Do with Digital and Analog I/O. GECCO 1999: 1233 - [c3]Fred A. Cummins, Felix A. Gers, Jürgen Schmidhuber:
Language identification from prosody without explicit features. EUROSPEECH 1999 - 1997
- [c2]Felix A. Gers, Hugo de Garis, Michael Korkin:
CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model. Artificial Evolution 1997: 315-334 - 1996
- [c1]Felix A. Gers, Hugo de Garis:
CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project. ICES 1996: 437-452
Coauthor Index
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