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Lukas Wolf
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EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
A Kastrati, MMB Płomecka, D Pascual, L Wolf, V Gillioz, R Wattenhofer, ...
35th Conference on Neural Information Processing Systems (NeurIPS), 2021
272021
Fabric: Personalizing diffusion models with iterative feedback
D Von Rütte, E Fedele, J Thomm, L Wolf
arXiv preprint arXiv:2307.10159, 2023
62023
WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words
L Wolf, G Tuckute, K Kotar, E Hosseini, T Regev, E Wilcox, A Warstadt
arXiv preprint arXiv:2312.02931, 2023
22023
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
L Wolf, A Kastrati, MB Płomecka, JM Li, D Klebe, A Veicht, R Wattenhofer, ...
39th International Conference on Machine Learning (ICML), 2022
22022
Quantifying the redundancy between prosody and text
L Wolf, T Pimentel, E Fedorenko, R Cotterell, A Warstadt, E Wilcox, ...
Empirical Methods in Natural Language Processing (EMNLP) 2023, 2023
12023
Towards Semi-Supervised Region-Learning for Electroencephalography Models
D Klebe, JM Li, L Wolf
2023
Predicting Gaze Position with Deep Learning of Electroencephalography Data
M Plomecka, A Kastrati, L Wolf, R Wattenhofer, N Langer
Journal of Vision 22 (14), 4010-4010, 2022
2022
Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure
N Langer, M Weber, BH Vieira, D Strzelczyk, L Wolf, A Pedroni, J Heitz, ...
bioRxiv, 2022.06. 15.496291, 2022
2022
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