Gino Brunner

According to our database, Gino Brunner authored at least 20 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Of Non-Linearity and Commutativity in BERT.

Sumu Zhao, Damián Pascual, Gino Brunner, Roger Wattenhofer

Proceedings of the International Joint Conference on Neural Networks, 2021

Telling BERT's Full Story: from Local Attention to Global Aggregation.

Damian Pascual, Gino Brunner, Roger Wattenhofer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Applications of Deep Learning for Sequential Data: Music, Human Activity and Language.

Gino Brunner

PhD thesis, 2020

Medley2K: A Dataset of Medley Transitions.

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

CoRR, 2020

On Identifiability in Transformers.

Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning.

Andrea Soro, Gino Brunner, Simon Tanner, Roger Wattenhofer

Sensors, 2019

On the Validity of Self-Attention as Explanation in Transformer Models.

Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer

CoRR, 2019

Neural Symbolic Music Genre Transfer Insights.

Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Attentive Multi-task Deep Reinforcement Learning.

Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Monaural Music Source Separation using a ResNet Latent Separator Network.

Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Swimming style recognition and lap counting using a smartwatch and deep learning.

Gino Brunner, Darya Melnyk, Birkir Sigfússon, Roger Wattenhofer

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

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

Gino Brunner, Bence Szebedy, Simon Tanner, Roger Wattenhofer

CoRR, 2018

Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations.

Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt

CoRR, 2018

Disentangling the Latent Space of (Variational) Autoencoders for NLP.

Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt

Proceedings of the Advances in Computational Intelligence Systems, 2018

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

Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Symbolic Music Genre Transfer with CycleGAN.

Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

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

Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Towards Measuring Real-World Performance of Android Devices.

Pascal Bissig, Gino Brunner, Florian Gubler, Roger Wattenhofer, Andreas Zingg

Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018

Teaching a Machine to Read Maps With Deep Reinforcement Learning.

Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs.

Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017