Felix A. Gers

According to our database, Felix A. Gers authored at least 36 papers between 1996 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

KIMERA: Injecting Domain Knowledge into Vacant Transformer Heads.

Benjamin Winter, Alexei Figueroa Rosero, Alexander Löser, Felix Alexander Gers, Amy Siu

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Cross-Lingual Knowledge Transfer for Clinical Phenotyping.

Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix A. Gers, Alexander Löser

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text.

Betty van Aken, Jens-Michalis Papaioannou, Marcel Ganesh Naik, Georgios Eleftheriadis, Wolfgang Nejdl, Felix A. Gers, Alexander Löser

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction.

Paul Grundmann, Tom Oberhauser, Felix A. Gers, Alexander Löser

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Aspect-Based Passage Retrieval with Contextualized Discourse Vectors.

Jens-Michalis Papaioannou, Manuel Mayrdorfer, Sebastian Arnold, Felix A. Gers, Klemens Budde, Alexander Löser

Proceedings of the Advances in Information Retrieval, 2021

Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration.

Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix A. Gers, Alexander Löser

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

VisBERT: Hidden-State Visualizations for Transformers.

Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Learning Contextualized Document Representations for Healthcare Answer Retrieval.

Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Is Language Modeling Enough? Evaluating Effective Embedding Combinations.

Rudolf Schneider, Tom Oberhauser, Paul Grundmann, Felix A. Gers, Alexander Löser, Steffen Staab

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

TrainX - Named Entity Linking with Active Sampling and Bi-Encoders.

Tom Oberhauser, Tim Bischoff, Karl Brendel, Maluna Menke, Tobias Klatt, Amy Siu, Felix Alexander Gers, Alexander Löser

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

SECTOR: A Neural Model for Coherent Topic Segmentation and Classification.

Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser

Trans. Assoc. Comput. Linguistics, 2019

How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations.

Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

IDEL: In-Database Neural Entity Linking.

Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

Crowd-Labeling Fashion Reviews with Quality Control.

Iurii Chernushenko, Felix A. Gers, Alexander Löser, Alessandro Checco

CoRR, 2018

IDEL: In-Database Entity Linking with Neural Embeddings.

Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin L. Kersten

CoRR, 2018

2017

Analysing Errors of Open Information Extraction Systems.

Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser

CoRR, 2017

RelVis: Benchmarking OpenIE Systems.

Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser

Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

2016

Robust Named Entity Recognition in Idiosyncratic Domains.

Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser

CoRR, 2016

2003

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.

Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber

Neural Networks, 2003

2002

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.

Jürgen Schmidhuber, Felix A. Gers, Douglas Eck

Neural Comput., 2002

Learning Precise Timing with LSTM Recurrent Networks.

Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber

J. Mach. Learn. Res., 2002

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.

Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck

Proceedings of the Artificial Neural Networks, 2002

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.

Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks, 2002

DEKF-LSTM.

Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

LSTM recurrent networks learn simple context-free and context-sensitive languages.

Felix A. Gers, Jürgen Schmidhuber

IEEE Trans. Neural Networks, 2001

Applying LSTM to Time Series Predictable through Time-Window Approaches.

Felix A. Gers, Douglas Eck, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks, 2001

2000

Learning to Forget: Continual Prediction with LSTM.

Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins

Neural Comput., 2000

Building an artificial brain using an FPGA based CAM-Brain Machine.

Hugo de Garis, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough

Appl. Math. Comput., 2000

Neural Processing of Complex Continual Input Streams.

Felix A. Gers, Jürgen Schmidhuber

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Recurrent Nets that Time and Count.

Felix A. Gers, Jürgen Schmidhuber

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Language identification from prosody without explicit features.

Fred A. Cummins, Felix A. Gers, Jürgen Schmidhuber

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

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.

Hugo de Garis, Andrzej Buller, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do.

Hugo de Garis, Michael Korkin, Felix A. Gers, Michael Hough

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

"CAM-brain" ATR's billion neuron artificial brain project: A three-year progress report.

Hugo de Garis, Norberto Eiji Nawa, Felix A. Gers, Michael Korkin, Arvin Agah

Artif. Life Robotics, 1998

1997

CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model.

Felix A. Gers, Hugo de Garis, Michael Korkin

Proceedings of the Artificial Evolution, Third European Conference, 1997

1996

CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project.

Felix A. Gers, Hugo de Garis

Proceedings of the Evolvable Systems: From Biology to Hardware, 1996