Iteratively Training Look-Up Tables for Network Quantization. - Fabien Cardinaux; Stefan Uhlich; Kazuki Yoshiyama; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (CoRR, 2018)

Differentiable Quantization of Deep Neural Networks. - Stefan Uhlich; Lukas Mauch; Kazuki Yoshiyama; Fabien Cardinaux; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (CoRR, 2019)

Mixed Precision DNNs: All you need is a good parametrization. - Stefan Uhlich; Lukas Mauch; Fabien Cardinaux; Kazuki Yoshiyama; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (ICLR, 2020)

Efficient Sampling for Predictor-Based Neural Architecture Search. - Lukas Mauch; Stephen Tiedemann; Javier Alonso García; Bac Nguyen Cong; Kazuki Yoshiyama; Fabien Cardinaux; Thomas Kemp (CoRR, 2020)

Iteratively Training Look-Up Tables for Network Quantization. - Fabien Cardinaux; Stefan Uhlich; Kazuki Yoshiyama; Javier Alonso García; Lukas Mauch; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (IEEE J. Sel. Top. Signal Process., 2020)