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Thesis defense of Titouan Parcollet, entitled “Artificial Neural Networks Based on Quaternion Algebra,” will take place on Tuesday, December 3, 2019, at 2:30 PM in the Blaise Pascal amphitheater (CERI). The thesis will be presented before a jury composed of: The defense will be conducted in French. You are also invited to the reception following the defense in Room 5. Abstract: In recent years, deep learning has become the preferred approach for developing modern artificial intelligence (AI). The significant increase in computing power, along with the ever-growing amount of available data, has made deep neural networks the most efficient solution for solving complex problems. However, accurately representing the multidimensionality of real-world data remains a major challenge for artificial neural architectures. To address this challenge, neural networks based on complex and hypercomplex number algebras have been developed. Thus, the multidimensionality of data is integrated into neurons, which are now complex and hypercomplex components of the model. In particular, quaternion neural networks (QNNs) have been proposed to process three-dimensional and four-dimensional data, based on quaternions representing rotations in our three-dimensional space. Unfortunately, unlike complex-valued neural networks, which are now accepted as an alternative to real-valued neural networks, QNNs suffer from several limitations, Plus d'infos

On the next 26th of November at 4 PM in the thesis room (Hannah Arendt campus). This HDR entitled ‘Neural Networks for Natural Language Processing’ will be presented before a jury composed of: Reviewers: Mrs. Dilek Z. HAKKANI-TÜR Senior Principal Scientist, Alexa AI, USA Mr. Patrice BELLOT Professor, AMU Polytech’, LIS, Marseille Mr. Frédéric ALEXANDRE Research Director INRIA, Bordeaux Examiners: Mr. Yannick ESTÈVE Professor, AU, LIA, Avignon Mr. Frédéric BÉCHET Professor, AMU, LIS, Marseille

Thursday 6 February 2020 14:30 at CERI (Amphitheater Ada). Title: “The Art of Voice: Characterizing Vocal Information in Artistic Choices” Jury members: Mr. Emmanuel Vincent, Research Director at Inria-Nancy, LORIA, Reviewer Mr. Jean-Julien Aucouturier, Research Scientist at CNRS, IRCAM, Reviewer Ms. Julie Mauclair, Assistant Professor at the University of Toulouse, IRIT, Examiner Ms. Lori Lamel, Research Director at CNRS, LIMSI, Examiner Mr. Yannick Estève, Professor at the University of Avignon, LIA, Examiner Mr. Jean-François Bonastre, Professor at the University of Avignon, LIA, Thesis Supervisor Mr. Richard Dufour, Assistant Professor at the University of Avignon, LIA, Co-supervisor Mr. Vincent Labatut, Assistant Professor at the University of Avignon, LIA, Co-supervisor Abstract: To reach an international audience, audiovisual productions (films, series, video games) need to be translated into other languages. Often, the original language voices in the work are replaced by new voices in the target language. The vocal casting process aiming to choose a voice (an actor) in accordance with the original voice and the character played is manually performed by an artistic director (AD). Today, ADs have a tendency for new “talents” (less expensive and more available than experienced dubbers), but they cannot conduct large-scale auditions. Providing audiovisual industry professionals with Plus d'infos