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Roger Wattenhofer

Towards BERT-based Automatic ICD Coding: Limitations and Opportunities


Apr 14, 2021
Damian Pascual, Sandro Luck, Roger Wattenhofer

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* Accepted at BioNLP 2021 
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Should Graph Neural Networks Use Features, Edges, Or Both?


Mar 11, 2021
Lukas Faber, Yifan Lu, Roger Wattenhofer

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Towards Robust Graph Contrastive Learning


Feb 25, 2021
Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer

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Of Non-Linearity and Commutativity in BERT


Jan 14, 2021
Sumu Zhao, Damian Pascual, Gino Brunner, Roger Wattenhofer

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KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation


Jan 02, 2021
Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer

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* Work in progress. The first three authors contribute equally to this work 
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Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation


Dec 31, 2020
Damian Pascual, Beni Egressy, Florian Bolli, Roger Wattenhofer

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* Preprint. Work in progress 
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Contrastive Graph Neural Network Explanation


Oct 26, 2020
Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer

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* ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+) 
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Brain2Word: Decoding Brain Activity for Language Generation


Oct 13, 2020
Nicolas Affolter, Beni Egressy, Damian Pascual, Roger Wattenhofer

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A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples


Oct 03, 2020
Zhao Meng, Roger Wattenhofer

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* COLING 2020 Long Paper 
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Medley2K: A Dataset of Medley Transitions


Aug 25, 2020
Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner, Roger Wattenhofer

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* MML 2020 - 13th Int. Workshop on Machine Learning and Music at ECML-PKDD 2020 
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Normalized Attention Without Probability Cage


May 19, 2020
Oliver Richter, Roger Wattenhofer

* Preprint, work in progress. Feedback welcome 
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Neural Status Registers


Apr 15, 2020
Lukas Faber, Roger Wattenhofer

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Telling BERT's full story: from Local Attention to Global Aggregation


Apr 10, 2020
Damian Pascual, Gino Brunner, Roger Wattenhofer

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* Preprint. Work in progress 
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On the Validity of Self-Attention as Explanation in Transformer Models


Aug 12, 2019
Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer

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* Preprint. Work in progress 
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Synthetic Epileptic Brain Activities Using Generative Adversarial Networks


Jul 22, 2019
Damian Pascual, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer

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Attentive Multi-Task Deep Reinforcement Learning


Jul 05, 2019
Timo Bram, Gino Brunner, Oliver Richter, Roger Wattenhofer

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* Accepted as conference paper at ECML PKDD 2019 
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Quantile Regression Deep Reinforcement Learning


Jun 27, 2019
Oliver Richter, Roger Wattenhofer

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* Preprint 
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Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning


Sep 30, 2018
Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer

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The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony


Sep 21, 2018
Gino Brunner, Bence Szebedy, Simon Tanner, Roger Wattenhofer

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MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer


Sep 20, 2018
Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer

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* Paper accepted at the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France 
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Symbolic Music Genre Transfer with CycleGAN


Sep 20, 2018
Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao

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* Paper accepted at the 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, Volos, Greece 
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Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations


Jan 18, 2018
Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt

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* The 31st Annual Conference on Neural Information Processing (NIPS) - Workshop on Learning Disentangled Features: from Perception to Control, Long Beach, CA, December 2017 
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JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs


Nov 21, 2017
Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger

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* Paper presented at the 29th International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA 
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Teaching a Machine to Read Maps with Deep Reinforcement Learning


Nov 20, 2017
Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer

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* Paper accepted at 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, New Orleans, Louisiana, USA 
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