Matthijs Van Keirsbilck

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 11

Top Topics

Low Discrepancy Sequences

Binary Matrices

Top Venues

Publications

Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
Deep Learning-Based Synchronization for Uplink NB-IoT. CoRR (2022)
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
Deep Learning-Based Synchronization for Uplink NB-IoT. GLOBECOM (2022)
Alexander Keller, Matthijs Van Keirsbilck
Artificial Neural Networks generated by Low Discrepancy Sequences. CoRR (2021)
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices. Interspeech (2021)
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices. CoRR (2021)
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Monte Carlo Gradient Quantization. CVPR Workshops (2020)
Alexander Keller, Matthijs Van Keirsbilck
Artificial Neural Networks Generated by Low Discrepancy Sequences. MCQMC (2020)
Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang
Rethinking Full Connectivity in Recurrent Neural Networks. CoRR (2019)
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Instant Quantization of Neural Networks using Monte Carlo Methods. EMC2@NeurIPS (2019)
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Instant Quantization of Neural Networks using Monte Carlo Methods. CoRR (2019)
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 (2018)