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Seminar: Scaling reinforcement learning to large interactive environments and long-horizon robotic tasks

22nd February 2021
Speaker: Fei Xia, PhD student at Stanford University.
Virtual seminar. Please register.
19 February 2021
Gepetto CNSRS

Seminar: Learning to walk: optimizing trajectories and policies for real robots and dynamic tasks

23rd February 2021
Speaker: Nicolas Mansard, senior researcher, Gepetto,  LAAS-CNRS, Toulouse, France.
Virtual seminar. Please register.
19 February 2021
Amazon

Seminar: Amazon behind the scenes

16th February 2021
Speaker: Martin Angioni, consultant, former country manager Amazon Italy
Virtual seminar. Please register.
16 February 2021
Julien Perez podcast

Blog: Robot learning workshop at NeurIPS2020 – podcast with Julien Perez

Podcast and transcript on 3rd Robot Learning Workshop at NeurIPS 2020 with Julien Perez, group lead machine learning and optimization at NAVER LABS Europe and co-organiser of the workshop.
7 December 2020

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RECENT PUBLICATIONS

Self-supervised and controlled multi-document opinion summarization

Hady Elsahar, Maximin Coavoux, Jos Rozen, Matthias Gallé

Conference of the European Chapter of the Association for Computational Linguistics (EACL), virtual event, 19-23 April, 2021

Globalizing BERT-based transformer architectures for long document summarization

Quentin Grail, Julien Perez, Eric Gaussier

Conference of the European Chapter of the Association for Computational Linguistics (EACL), virtual event, 19-23 April, 2021

References in Wikipedia: the editors’ perspective

Hady Elsahar

Wiki Workshop, virtually, part of The Web Conference, 14 April, 2021

A white box analysis of ColBERT

Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant

European Conference on Information Retrieval (ECIR), Lucca, Italy (online event), 28 March-3 April, 2021
BLOG
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Approaches to managing risk and high-level control in intelligent agents

Agents are becoming more artificially intelligent but a number of problems must be solved before we can unleash them into our physical world (i.e. robots) and trust them in our digital one.
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A white box analysis of ColBERT

By dissecting the matching process of the recent ColBERT model, we make a step towards unveiling the ranking properties of BERT-based ranking models and show that ColBERT (implicitly) learns a notion of term importance that correlates with IDF.

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Running into the unknown with RunAhead

Running into the unknown with RunAhead: finding pleasant running tours and intuitively navigating through them. The use of combinatorial optimization and UX design, together with head-tracking technology, provides a non-intrusive way of helping runners to discover new itineraries.

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Our partnerships range from long-term fundamental research to investment in products and services.

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