Damian Pascual

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 93
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone	+41 44 63 27050
fax	+41 44 63 21036
email

Publications

Telling BERT's Full Story: from Local Attention to Global Aggregation
Damian Pascual, Gino Brunner and Roger Wattenhofer.
The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), April 2021.
BibTeX
WikiFlash: Generating Flashcards from Wikipedia Articles
Yuang Cheng, Yue Ding, Damian Pascual, Oliver Richter, Martin Volk and Roger Wattenhofer.
AAAI 2021 Workshop on AI Education - 35th AAAI Conference on Artificial Intelligence (AAAI), Online, February 2021.
BibTeX
EpilepsyGAN: Synthetic Epileptic Brain Activities with Privacy Preservation
Damian Pascual, Alireza Amirshahi, Amir Aminifar, David Atienza, Philippe Ryvlin and Roger Wattenhofer.
IEEE Transactions on Biomedical Engineering, December 2020.
BibTeX
Brain2Word: Improving Brain Decoding Methods and Evaluation (Oral presentation)
Nicolas Affolter, Béni Egressy, Damian Pascual and Roger Wattenhofer.
Medical Imaging Meets Neurips Workshop, Online, December 2020.
BibTeX
Medley2K: A Dataset of Medley Transitions
Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner and Roger Wattenhofer.
13th International Workshop on Machine Learning and Music (MML at ECML-PKDD), Ghent, Belgium, September 2020.
BibTeX
A Deep Learning Decoder for Long-Range Communication Systems
Damian Pascual, Simon Tanner, Mickey Vänskä and Roger Wattenhofer.
28th European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands, August 2020.
BibTeX
On Identifiability in Transformers
Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita and Roger Wattenhofer.
8th International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020.
BibTeX
Synthetic Epileptic Brain Activities using GANs
Damian Pascual, Amir Aminifar, David Atienza, Philippe Ryvlin and Roger Wattenhofer.
Machine Learning for Health (ML4H) at the 33rd Conference on Neural Information Processing Systems, Vancouver, Canada, December 2019.
BibTeX
A Self-Learning Methodology for Epileptic Seizure Detection with Minimally Supervised Edge Labeling
Damian Pascual Ortiz, Amir Aminifar and David Atienza.
Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
BibTeX

Theses & Labs

	Title	Type	Contact/Supervisor	Assigned
Available Theses & Labs
	Applications of Deep Learning in NLP	M/S	Damian Pascual	available
	DeepEye: Eye Tracking with Deep Learning	B/M/S	Ard Kastrati, Damian Pascual	available
Current Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Beyond Left-Right Gaze Prediction with EEG Data	B	Ard Kastrati, Damian Pascual	FS 21
	Decoding Brain Activity	M	Béni Egressy, Damian Pascual	FS 21
	Preprocessing of EEG Data for DL Models	B	Ard Kastrati, Damian Pascual	FS 21
	Study About the Size and Quality of EEG Dataset	B	Ard Kastrati, Damian Pascual	FS 21
	Understanding Deep Neural Networks by Fooling	M	Zhao Meng, Damian Pascual	FS 21
	Classifying Medical Text using State-of-the-art Natural Language Processing Techniques	M	Damian Pascual	HS 20
	Conditional Language Generation	S	Damian Pascual, Béni Egressy	HS 20
	DAB+ Positioning Implementation	S	Simon Tanner, Damian Pascual	HS 20
	Deep Learning: Investigation of Transformer Models	M	Damian Pascual, Karolis Martinkus	HS 20
	Normalized Attention Reinforcement Learning	S	Oliver Richter, Damian Pascual	HS 20
	Receiving Aircraft Messages with Deep Learning	M	Simon Tanner, Damian Pascual	HS 20
Past Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Automated Exercise Coach [confidential]	S	Oliver Richter, Damian Pascual	HS 20
	Deep Learning for Text Attribute Transfer on Auto Encoder Models	B	Zhao Meng, Damian Pascual	HS 20
	Generating Flashcards From Wikipedia Articles [confidential]	G	Damian Pascual, Oliver Richter	HS 20	,
	Brain2Word: Decoding Brain Activity for Language Generation	M	Damian Pascual, Béni Egressy	FS 20
	Exploration of Neural Architectures for Generation of Synthetic Epileptic Seizures [confidential]	S	Damian Pascual	HS 19
	Investigating Reinforcement Learning Algorithms [confidential]	S	Oliver Richter, Damian Pascual	HS 19
	Investigating Transformers [confidential]	M	Gino Brunner, Damian Pascual	HS 19
	Music Medley Generation [confidential]	G	Damian Pascual, Lukas Faber	HS 19	,
	EEG Data Generation with Generative Adversarial Networks [confidential]	B	Damian Pascual	FS 19
	Mode-S Physical Layer Deep Learning [confidential]	M	Simon Tanner, Damian Pascual	FS 19

Damian Pascual

Publications

Theses & Labs

Available Theses & Labs

Current Theses & Labs

Past Theses & Labs