팔로우
Gino Brunner
Gino Brunner
Data Scientist @ QuantumBlack
quantumblack.com의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
On Identifiability in Transformers
G Brunner, Y Liu, D Pascual, O Richter, M Ciaramita, R Wattenhofer
International Conference on Learning Representations (ICLR), 2019, 2019
136*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
992018
Symbolic Music Genre Transfer with CycleGAN
G Brunner, Y Wang, R Wattenhofer, S Zhao
692018
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
552017
Recognition and repetition counting for complex physical exercises with deep learning
A Soro, G Brunner, S Tanner, R Wattenhofer
Sensors 19 (3), 714, 2019
492019
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
452019
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
312018
Swimming style recognition and lap counting using a smartwatch and deep learning
G Brunner, D Melnyk, B Sigfússon, R Wattenhofer
Proceedings of the 23rd International Symposium on Wearable Computers, 23-31, 2019
212019
Telling BERT's full story: from Local Attention to Global Aggregation
D Pascual, G Brunner, R Wattenhofer
arXiv preprint arXiv:2004.05916, 2020
152020
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
14*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
82018
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
52018
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
42021
Monaural Music Source Separation using a ResNet Latent Separator Network
G Brunner, N Naas, S Palsson, O Richter, R Wattenhofer
32019
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
32019
Disentangling the latent space of (variational) autoencoders for nlp
G Brunner, Y Wang, R Wattenhofer, M Weigelt
UK Workshop on Computational Intelligence, 163-168, 2018
32018
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
12018
Medley2K: A Dataset of Medley Transitions
L Faber, S Luck, D Pascual, A Roth, G Brunner, R Wattenhofer
arXiv preprint arXiv:2008.11159, 2020
2020
Applications of Deep Learning for Sequential Data: Music, Human Activity and Language
G Brunner
ETH Zurich, 2020
2020
Tunnel Vision Attack on IMPALA-Questioning the Robustness of Reinforcement Learning Agents
J Bolick, G Brunner, O Richter, R Wattenhofer
Workshop on Safety and Robustness in Decision Making at the 33rd Conference …, 2019
2019
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20