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

Word2Course: Creating Interactive Courses from as Little as a Keyword (Best student paper award)
Sébastien Foucher, Damian Pascual, Oliver Richter and Roger Wattenhofer.
International Conference on Computer Supported Education (CSEDU), Virtual, April 2022.
BibTeX
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Ard Kastrati, Martyna Beata Plomecka, Damian Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer and Nicolas Langer.
35th Conference on Neural Information Processing Systems (NeurIPS), Online, December 2021.
Slides (PDF) BibTeX
A Plug-and-Play Method for Controlled Text Generation
Damian Pascual, Béni Egressy, Clara Meister, Ryan Cotterell and Roger Wattenhofer.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, Punta Cana, Dominican Republic, November 2021.
BibTeX
Of Non-Linearity and Commutativity in BERT
Sumu Zhao, Damian Pascual, Gino Brunner and Roger Wattenhofer.
International Joint Conference on Neural Networks (IJCNN), Virtual-only, July 2021.
BibTeX
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damian Pascual, Sandro Luck and Roger Wattenhofer.
20th Biomedical Natural Language Processing (BioNLP) Workshop, Virtual-only, June 2021.
BibTeX
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, 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	Student(s)
Past Theses & Labs
	Automated Exercise Generation [confidential]	M	Damian Pascual, Oliver Richter	HS 21
	Beyond Left-Right Gaze Prediction with EEG Data [confidential]	B	Ard Kastrati, Damian Pascual	FS 21
	Improving Brain Decoding Methods and Evaluation	M	Béni Egressy, Damian Pascual	FS 21
	Preprocessing of EEG Data for Deep Learning Models [confidential]	S	Ard Kastrati, Damian Pascual	FS 21
	Study About the Size and Quality of the EEG Dataset	S	Ard Kastrati, Damian Pascual	FS 21
	BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification	M	Zhao Meng, Damian Pascual	FS 21
	Automated Exercise Coach [confidential]	S	Oliver Richter, Damian Pascual	HS 20
	Classifying Medical Text using State-of-the-art Natural Language Processing Techniques	M	Damian Pascual	HS 20
	Conditional Language Generation [confidential]	S	Damian Pascual, Béni Egressy	HS 20
	DAB+ Positioning	S	Simon Tanner, Damian Pascual	HS 20
	Deep Learning for Text Attribute Transfer on Auto Encoder Models	B	Zhao Meng, Damian Pascual	HS 20
	On Isotropy Calibration of Transformer Models [confidential]	M	Damian Pascual, Karolis Martinkus	HS 20
	Generating Flashcards From Wikipedia Articles [confidential]	G	Damian Pascual, Oliver Richter	HS 20	,
	Normalized Attention Reinforcement Learning [confidential]	S	Oliver Richter, Damian Pascual	HS 20
	Receiving ADS-B Messages with Deep Learning using Past-Message Information [confidential]	M	Simon Tanner, Damian Pascual	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

Past Theses & Labs