D
Denis Therien
Publications - 2
Citations - 633
Denis Therien is an academic researcher. The author has contributed to research in topics: Embodied cognition & Deep learning. The author has an hindex of 1, co-authored 2 publications receiving 334 citations.
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A deep learning framework for neuroscience
Blake A. Richards,Timothy P. Lillicrap,Philippe Beaudoin,Yoshua Bengio,Yoshua Bengio,Rafal Bogacz,Amelia J. Christensen,Claudia Clopath,Rui Ponte Costa,Rui Ponte Costa,Archy O. de Berker,Surya Ganguli,Surya Ganguli,Colleen J Gillon,Danijar Hafner,Danijar Hafner,Adam Kepecs,Nikolaus Kriegeskorte,Peter E. Latham,Grace W. Lindsay,Kenneth D. Miller,Richard Naud,Christopher C. Pack,Panayiota Poirazi,Pieter R. Roelfsema,João Sacramento,Andrew M. Saxe,Benjamin Scellier,Anna C. Schapiro,Walter Senn,Greg Wayne,Daniel L. K. Yamins,Friedemann Zenke,Friedemann Zenke,Joel Zylberberg,Joel Zylberberg,Denis Therien,Konrad P. Kording,Konrad P. Kording +38 more
TL;DR: It is argued that a deep network is best understood in terms of components used to design it—objective functions, architecture and learning rules—rather than unit-by-unit computation.
Posted Content
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy,Ingmar Posner,Timothy D. Barfoot,Philippe Beaudoin,Yoshua Bengio,Jeannette Bohg,Oliver Brock,Isabelle Depatie,Dieter Fox,Daniel E. Koditschek,Tomás Lozano-Pérez,Vikash K. Mansinghka,Chris Pal,Blake A. Richards,Dorsa Sadigh,Stefan Schaal,Gaurav S. Sukhatme,Denis Therien,Marc Toussaint,Michiel van de Panne +19 more
TL;DR: In this article, the authors highlight challenges and opportunities that are specific to embodied intelligence and to propose research directions which may significantly advance the state-of-the-art in robot learning.