Gino Brunner
Gino Brunner
ML Engineer @ Cradle
Verified email at - Homepage
Cited by
Cited by
On Identifiability in Transformers
G Brunner, Y Liu, D Pascual, O Richter, M Ciaramita, R Wattenhofer
International Conference on Learning Representations (ICLR), 2019, 2019
MIDI-VAE: Modeling dynamics and instrumentation of music with applications to style transfer
G Brunner, A Konrad, Y Wang, R Wattenhofer
Proc. Int. Society for Music Information Retrieval Conf, 2018
Symbolic Music Genre Transfer with CycleGAN
G Brunner, Y Wang, R Wattenhofer, S Zhao
Recognition and repetition counting for complex physical exercises with deep learning
A Soro, G Brunner, S Tanner, R Wattenhofer
Sensors 19 (3), 714, 2019
The urban last mile problem: Autonomous drone delivery to your balcony
G Brunner, B Szebedy, S Tanner, R Wattenhofer
2019 international conference on unmanned aircraft systems (icuas), 1005-1012, 2019
JamBot: Music theory aware chord based generation of polyphonic music with LSTMs
G Brunner, Y Wang, R Wattenhofer, J Wiesendanger
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
Teaching a machine to read maps with deep reinforcement learning
G Brunner, O Richter, Y Wang, R Wattenhofer
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Swimming style recognition and lap counting using a smartwatch and deep learning
G Brunner, D Melnyk, B Sigfússon, R Wattenhofer
Proceedings of the 2019 ACM International Symposium on Wearable Computers, 23-31, 2019
Telling BERT's full story: from Local Attention to Global Aggregation
D Pascual, G Brunner, R Wattenhofer
arXiv preprint arXiv:2004.05916, 2020
Attentive Multi-Task Deep Reinforcement Learning
G Brunner, T Bräm, O Richter, R Wattenhofer
European Conference on Machine Learning and Principles and Practice of …, 2019
Of non-linearity and commutativity in bert
S Zhao, D Pascual, G Brunner, R Wattenhofer
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Monaural Music Source Separation using a ResNet Latent Separator Network
G Brunner, N Naas, S Palsson, O Richter, R Wattenhofer
Disentangling the latent space of (variational) autoencoders for NLP
G Brunner, Y Wang, R Wattenhofer, M Weigelt
Advances in Computational Intelligence Systems: Contributions Presented at …, 2019
Natural language multitasking: analyzing and improving syntactic saliency of hidden representations
G Brunner, Y Wang, R Wattenhofer, M Weigelt
NeurIPS Workshop on Learning Disentangled Features: from Perception to Control, 2018
Neural Symbolic Music Genre Transfer Insights
G Brunner, M Moayeri, O Richter, R Wattenhofer, C Zhang
12th International Workshop on Machine Learning and Music (MML 2019), 2019
Using state predictions for value regularization in curiosity driven deep reinforcement learning
G Brunner, M Fritsche, O Richter, R Wattenhofer
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
Towards measuring real-world performance of android devices
P Bissig, G Brunner, F Gubler, R Wattenhofer, A Zingg
2018 IEEE/ACS 15th International Conference on Computer Systems and …, 2018
Medley2K: A Dataset of Medley Transitions
L Faber, S Luck, D Pascual, A Roth, G Brunner, R Wattenhofer
arXiv preprint arXiv:2008.11159, 2020
Applications of Deep Learning for Sequential Data: Music, Human Activity and Language
G Brunner
ETH Zurich, 2020
Tunnel Vision Attack on IMPALA-Questioning the Robustness of Reinforcement Learning Agents
J Bolick, G Brunner, O Richter, R Wattenhofer
Proceedings of the Workshop on Safety and Robustness in Decision Making at …, 2019
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