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Experts in: Representation learning

Bengio, Yoshua

BENGIO, Yoshua

Professeur titulaire

My long-term goal is to understand intelligence; understanding its underlying principles would give us access to artificial intelligence (AI), and I believe that learning algorithms are essential in this quest. Learning algorithms could give computers the ability to capture operational knowledge (not necessarily in symbolic / verbal form) from examples.

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Memisevic, Roland

MEMISEVIC, Roland

Professeur associé

My research interests are in machine learning and computer vision. I develop algorithms that extract information from large amounts of data, with a particular focus on the extraction of spatial and spatio-temporal features from images and videos. I am also interested in the development of deep learning architectures and bio-inspired models and their applications in automatic data analysis.

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Vincent, Pascal

VINCENT, Pascal

Professeur agrégé

My research interests are centered around discovering fundamental computational principles that underlie the extraordinary capabilities to learn from the environment, understand it and adapt to it that characterize intelligence. The development of novel machine learning algorithms based on such principles, and trained on very large data sets, is at the heart of the latest technological breakthroughs in artificial intelligence.

More specifically, I research how higher level representations that carry meaning can be constructed autonomously, starting from streams of raw sensory input (such as images and sounds). Similarly to what our brain's neural networks naturally know how to do, this amounts to intelligently modeling the structure of the observed reality, by discovering and exploiting hidden and complex statistical regularities that it follows.
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