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David R. Reich
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- affiliation: University of Potsdam, Department of Computer Science, Germany
- affiliation: University of Zurich, Department of Computational Linguistics, Switzerland
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2020 – today
- 2024
- [j4]Paul Prasse
, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger
Improving cognitive-state analysis from eye gaze with synthetic eye-movement data. Comput. Graph. 119: 103901 (2024) - [j3]Tarek Alakmeh
Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks. Proc. ACM Softw. Eng. 1(FSE): 1982-2004 (2024) - [c12]Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger:
Fine-Tuning Pre-Trained Language Models with Gaze Supervision. ACL (Short Papers) 2024: 217-224 - [c11]David R. Reich, Shuwen Deng, Marina Björnsdóttir, Lena A. Jäger, Nora Hollenstein:
Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations. LREC/COLING 2024: 13586-13594 - [c10]Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. EMNLP 2024: 9367-9389 - [i9]Deborah N. Jakobi, Thomas Kern, David R. Reich, Patrick Haller, Lena A. Jäger
PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus. CoRR abs/2403.00506 (2024) - [i8]Lena S. Bolliger, Patrick Haller, Isabelle Caroline Rose Cretton, David Robert Reich, Tannon Kew, Lena Ann Jäger:
EMTeC: A Corpus of Eye Movements on Machine-Generated Texts. CoRR abs/2408.04289 (2024) - [i7]Samuel Kiegeland, Ethan Gotlieb Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. CoRR abs/2410.13086 (2024) - 2023
- [j2]Shuwen Deng
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. Proc. ACM Hum. Comput. Interact. 7(ETRA): 1-24 (2023) - [c9]Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. EMNLP 2023: 6500-6507 - [c8]Lena S. Bolliger
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts. EMNLP 2023: 15513-15538 - [c7]Daniel G. Krakowczyk
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. ETRA 2023: 3:1-3:8 - [c6]Paul Prasse
SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. ETRA 2023: 18:1-18:9 - [c5]Daniel G. Krakowczyk
pymovements: A Python Package for Eye Movement Data Processing. ETRA 2023: 53:1-53:2 - [i6]Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek, Deborah N. Jakobi, Paul Prasse
pymovements: A Python Package for Eye Movement Data Processing. CoRR abs/2304.09859 (2023) - [i5]Shuwen Deng, David R. Reich, Paul Prasse
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. CoRR abs/2304.10784 (2023) - [i4]Daniel G. Krakowczyk, Paul Prasse
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. CoRR abs/2304.13536 (2023) - [i3]Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger:
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. CoRR abs/2310.14676 (2023) - [i2]Lena S. Bolliger, David R. Reich, Patrick Haller, Deborah N. Jakobi, Paul Prasse, Lena A. Jäger:
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts. CoRR abs/2310.15587 (2023) - 2022
- [c4]Paul Prasse
Fairness in Oculomotoric Biometric Identification. ETRA 2022: 22:1-22:8 - [c3]David R. Reich, Paul Prasse
Inferring Native and Non-Native Human Reading Comprehension and Subjective Text Difficulty from Scanpaths in Reading. ETRA 2022: 23:1-23:8 - [c2]Daniel Krakowczyk, David R. Reich, Paul Prasse, Sebastian Lapuschkin
Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification. Gaze Meets ML 2022: 66-97 - [c1]Shuwen Deng
Detection of ADHD Based on Eye Movements During Natural Viewing. ECML/PKDD (6) 2022: 403-418 - [i1]Shuwen Deng, Paul Prasse
Detection of ADHD based on Eye Movements during Natural Viewing. CoRR abs/2207.01377 (2022) - 2021
- [j1]Silvia Makowski
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks. IEEE Trans. Biom. Behav. Identity Sci. 3(4): 506-518 (2021)
Coauthor Index
aka: Lena Ann Jäger
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