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ORCIDGino Brunner
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2020 – today
- 2021
[c14]Damian Pascual, Gino Brunner, Roger Wattenhofer:
Telling BERT's Full Story: from Local Attention to Global Aggregation. EACL 2021: 105-124- [c13]Sumu Zhao, Damián Pascual, Gino Brunner, Roger Wattenhofer:
Of Non-Linearity and Commutativity in BERT. IJCNN 2021: 1-8 - [i12]Sumu Zhao, Damian Pascual, Gino Brunner, Roger Wattenhofer:
Of Non-Linearity and Commutativity in BERT. CoRR abs/2101.04547 (2021) - 2020
- [b1]Gino Brunner:
Applications of Deep Learning for Sequential Data: Music, Human Activity and Language. ETH Zurich, Zürich, Switzerland, 2020 - [c12]Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer:
On Identifiability in Transformers. ICLR 2020 - [i11]Damian Pascual, Gino Brunner, Roger Wattenhofer:
Telling BERT's full story: from Local Attention to Global Aggregation. CoRR abs/2004.05916 (2020) - [i10]Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner, Roger Wattenhofer:
Medley2K: A Dataset of Medley Transitions. CoRR abs/2008.11159 (2020)
2010 – 2019
- 2019
- [j1]Andrea Soro, Gino Brunner
, Simon Tanner, Roger Wattenhofer:
Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning. Sensors 19(3): 714 (2019) - [c11]Gino Brunner, Darya Melnyk, Birkir Sigfússon, Roger Wattenhofer:
Swimming style recognition and lap counting using a smartwatch and deep learning. UbiComp 2019: 23-31 - [c10]Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer:
Monaural Music Source Separation using a ResNet Latent Separator Network. ICTAI 2019: 1124-1131 - [c9]Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer:
Attentive Multi-task Deep Reinforcement Learning. ECML/PKDD (3) 2019: 134-149 - [c8]Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang:
Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) 2019: 437-445 - [i9]Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer:
Attentive Multi-Task Deep Reinforcement Learning. CoRR abs/1907.02874 (2019) - [i8]Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer:
On the Validity of Self-Attention as Explanation in Transformer Models. CoRR abs/1908.04211 (2019) - 2018
- [c7]Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps With Deep Reinforcement Learning. AAAI 2018: 2763-2770 - [c6]Pascal Bissig, Gino Brunner, Florian Gubler, Roger Wattenhofer, Andreas Zingg:
Towards Measuring Real-World Performance of Android Devices. AICCSA 2018: 1-8 - [c5]Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. ICTAI 2018: 25-29 - [c4]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao:
Symbolic Music Genre Transfer with CycleGAN. ICTAI 2018: 786-793 - [c3]Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer:
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer. ISMIR 2018: 747-754 - [c2]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt:
Disentangling the Latent Space of (Variational) Autoencoders for NLP. UKCI 2018: 163-168 - [i7]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt:
Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations. CoRR abs/1801.06024 (2018) - [i6]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao:
Symbolic Music Genre Transfer with CycleGAN. CoRR abs/1809.07575 (2018) - [i5]Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer:
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer. CoRR abs/1809.07600 (2018) - [i4]Gino Brunner, Bence Szebedy, Simon Tanner, Roger Wattenhofer:
The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony. CoRR abs/1809.08022 (2018) - [i3]Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. CoRR abs/1810.00361 (2018) - 2017
- [c1]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger:
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs. ICTAI 2017: 519-526 - [i2]Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps with Deep Reinforcement Learning. CoRR abs/1711.07479 (2017) - [i1]Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger:
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs. CoRR abs/1711.07682 (2017)
Coauthor Index
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