An approach to prevent adaptive beamformers from cancelling the desired signal. - Tofigh Naghibi; Beat Pfister (ICASSP, 2012)

Beamformer design for nonstationary signals by means of interfrequency correlations. - Tofigh Naghibi; Beat Pfister (SAM, 2012)

Convex approximation of the NP-hard search problem in feature subset selection. - Tofigh Naghibi; Sarah Hoffmann; Beat Pfister (ICASSP, 2013)

An efficient method to estimate pronunciation from multiple utterances. - Tofigh Naghibi; Sarah Hoffmann; Beat Pfister (INTERSPEECH, 2013)

A Boosting Framework on Grounds of Online Learning. - Tofigh Naghibi Mohamadpoor; Beat Pfister (NIPS, 2014)

A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure. - Tofigh Naghibi; Sarah Hoffmann; Beat Pfister (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Towards Robust Audio-Visual Speech Recognition. - Tofigh Naghibi (2015)

Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks. - Naoya Takahashi; Tofigh Naghibi; Beat Pfister (INTERSPEECH, 2016)

Probabilistic Time Series Forecasting with Implicit Quantile Networks. - Adèle Gouttes; Kashif Rasul; Mateusz Koren; Johannes Stephan; Tofigh Naghibi (CoRR, 2021)

Deep Learning based Forecasting: a case study from the online fashion industry. - Manuel Kunz; Stefan Birr; Mones Raslan; Lei Ma; Zhen Li; Adèle Gouttes; Mateusz Koren; Tofigh Naghibi; Johannes Stephan; Mariia Bulycheva; Matthias Grzeschik; Armin Kekic; et al. (CoRR, 2023)