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2020 – today
- 2022
[c5]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. GLOBECOM 2022: 1478-1483- [i6]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. CoRR abs/2205.10805 (2022) - 2021
- [c4]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices. Interspeech 2021: 4528-4532 - [i5]Alexander Keller, Matthijs Van Keirsbilck:
Artificial Neural Networks generated by Low Discrepancy Sequences. CoRR abs/2103.03543 (2021) - [i4]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices. CoRR abs/2103.17142 (2021) - 2020
- [c3]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Monte Carlo Gradient Quantization. CVPR Workshops 2020: 3087-3095 - [c2]Alexander Keller, Matthijs Van Keirsbilck:
Artificial Neural Networks Generated by Low Discrepancy Sequences. MCQMC 2020: 291-311
2010 – 2019
- 2019
- [c1]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Instant Quantization of Neural Networks using Monte Carlo Methods. EMC2@NeurIPS 2019: 26-30 - [i3]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Instant Quantization of Neural Networks using Monte Carlo Methods. CoRR abs/1905.12253 (2019) - [i2]Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang:
Rethinking Full Connectivity in Recurrent Neural Networks. CoRR abs/1905.12340 (2019) - 2018
- [i1]Matthijs Van Keirsbilck, Bert Moons, Marian Verhelst:
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion. CoRR abs/1803.04840 (2018)
Coauthor Index
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