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Author Information
Jan Kremer (Corti)
Jan Kremer is a senior machine learning researcher at Corti in Denmark. There he works on automatic speech recognition in critical conversations. He is particularly interested in multi-task and robust learning. After receiving an MSc in Computer Science from the Technical University of Munich in 2013, he obtained a PhD in Machine Learning from the University of Copenhagen in 2016.
Erik McDermott (Google)
Brandon Carter (MIT CSAIL / Google)
Albert Zeyer (RWTH Aachen University)
Andreas Krug (University of Potsdam)
Paul Pu Liang (Carnegie Mellon University)
Katherine Lee (Google)
Dominika Basaj (Tooploox AI/Warsaw School of Technology)
Abelino Jimenez (Carnegie Mellon University)
Lisa Fan (Northeastern University)
Gautam Bhattacharya (Mcgill University)
Tzeviya S Fuchs (Bar Ilan University)
David Gifford (MIT)
Loren Lugosch (Fluent.ai Inc.)
Orhan Firat (Google)
Benjamin Baer (Cornell University)
JAHANGIR ALAM (Computer Research Institute of Montreal (CRIM))
Jamin Shin (HKUST CAiRE)
Mirco Ravanelli (Montreal Istitute for Learning Algorithms)
I received my master's degree in Telecommunications Engineering (full marks and honours) from the University of Trento, Italy in 2011. I then joined the SHINE research group (led by Prof. Maurizio Omologo) of the Bruno Kessler Foundation (FBK), contributing to some projects on distant-talking speech recognition in noisy and reverberant environments, such as DIRHA and DOMHOS. In 2013 I was visiting researcher at the International Computer Science Institute (University of California, Berkeley) working on deep neural networks for large-vocabulary speech recognition in the context of the IARPA BABEL project (led by Prof. Nelson Morgan). I received my PhD (with cum laude distinction) in Information and Communication Technology from the University of Trento in December 2017. During my PhD I worked on “deep learning for distant speech recognition”, with a particular focus on recurrent and cooperative neural networks (see my PhD thesis here). In the context of my PhD I recently spent 6 months in the MILA lab led by Prof. Yoshua Bengio. I'm currently a post-doc researcher at the University of Montreal, working on deep learning for speech recognition in the MILA Lab.
Paul Smolensky (Microsoft Research/Johns Hopkins)
Zining Zhu (University of Toronto)
Hamid Eghbal-zadeh (Johannes Kepler University of Linz)
Skyler Seto (Cornell University)
Imran Sheikh (TCS Research and Innovation)
Joao Felipe Santos (Institut National de la Recherche Scientifique)
Yonatan Belinkov (MIT)
Nadir Durrani (QCRI)
Oiwi Parker Jones (University of Oxford)
Human and Animal Neuroscience, Deep Learning, NLP, Prosthetics.
Shuai Tang (CogSci, UC San Diego)
André Merboldt (RWTH Aachen University)
Titouan Parcollet (University of Avignon)
Wei-Ning Hsu (Massachusetts Institute of Technology)
Krishna Pillutla (University of Washington)
Ehsan Hosseini-Asl (Salesforce Research)
Monica Dinculescu (Google)
Alexander Amini (MIT)
Ying Zhang (Element AI)
Taoli Cheng (MILA, Université de Montréal)
Alain Tapp (U. of Montreal)
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