Enea Ceolini
Enea Ceolini
PhD, Institute of Neuroinformatics
Verified email at ini.uzh.ch
Title
Cited by
Cited by
Year
Towards better understanding of gradient-based attribution methods for deep neural networks
M Ancona, E Ceolini, C ÷ztireli, M Gross
arXiv preprint arXiv:1711.06104, 2017
1642017
A unified view of gradient-based attribution methods for deep neural networks
M Ancona, E Ceolini, C ÷ztireli, M Gross
NIPS Workshop on Interpreting, Explaining and Visualizing Deep Learning-Now†…, 2017
482017
DeltaRNN: A power-efficient recurrent neural network accelerator
C Gao, D Neil, E Ceolini, SC Liu, T Delbruck
Proceedings of the 2018 ACM/SIGDA International Symposium on Field†…, 2018
452018
A comparison of regularization methods in forward and backward models for auditory attention decoding
DDE Wong, SA Fuglsang, J Hjortkjśr, E Ceolini, M Slaney, ...
Frontiers in neuroscience 12, 531, 2018
24*2018
Multi-channel attention for end-to-end speech recognition
S Braun, D Neil, J Anumula, E Ceolini, SC Liu
2018 Interspeech, 0-0, 2018
152018
FaSNet: Low-latency adaptive beamforming for multi-microphone audio processing
Y Luo, C Han, N Mesgarani, E Ceolini, SC Liu
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU†…, 2019
82019
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms
SC Liu, B Rueckauer, E Ceolini, A Huber, T Delbruck
IEEE Signal Processing Magazine 36 (6), 29-37, 2019
62019
Towards better understanding of gradient-based attribution methods for Deep Neural Networks.(2018)
M Ancona, E Ceolini, C ÷ztireli, M Gross
URL http://arxiv. org/abs/1711.06104, 2018
62018
An event-driven probabilistic model of sound source localization using cochlea spikes
J Anumula, E Ceolini, Z He, A Huber, SC Liu
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
42018
WHISPER: Wirelessly synchronized distributed audio sensor platform
I Kiselev, E Ceolini, D Wong, A de Cheveigne, SC Liu
2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN†…, 2017
42017
Impact of low-precision deep regression networks on single-channel source separation
E Ceolini, SC Liu
2017 IEEE International Conference on Acoustics, Speech and Signal†…, 2017
42017
Gradient-based attribution methods
M Ancona, E Ceolini, C ÷ztireli, M Gross
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 169-191, 2019
32019
Speaker Activity Detection and Minimum Variance Beamforming for Source Separation.
E Ceolini, J Anumula, AEG Huber, I Kiselev, SC Liu
Interspeech, 836-840, 2018
32018
Attention-driven Multi-sensor Selection
S Braun, D Neil, J Anumula, E Ceolini, SC Liu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
22019
Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System
E Ceolini, J Anumula, S Braun, SC Liu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and†…, 2019
22019
Sensor fusion using EMG and vision for hand gesture classification in mobile applications
E Ceolini, G Taverni, L Khacef, M Payvand, E Donati
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
12019
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network
E Ceolini, SC Liu
2019 IEEE 29th International Workshop on Machine Learning for Signal†…, 2019
12019
Sensor Transformation Attention Networks
S Braun, D Neil, E Ceolini, J Anumula, SC Liu
arXiv preprint arXiv:1708.01015, 2017
12017
Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing.
E Ceolini, C Frenkel, SB Shrestha, G Taverni, L Khacef, M Payvand, ...
Frontiers in Neuroscience, 36, 2020
2020
Evaluating multi-channel multi-device speech separation algorithms in the wild: a hardware-software solution
E Ceolini, I Kiselev, SC Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
2020
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Articles 1–20