Seminars

Magnet seminars are usually held in room B21 on Thursdays, 11am. Check below for upcoming seminars and potential changes of schedule/location. You may also import the Magnet seminars public feed into your favorite calendar app. For further information, contact Aurélien or Michaël.

Upcoming seminars

DateTitleLocation
Dec 6, 2021 14:00Damien Sileo (KU Leuven): Task representation learningINRIA

Previous seminars (over the past year)

DateTitleLocation
Jun 3, 2021 11:00D. Basu (Inria Scool): Differential Privacy for Multi-armed Bandits: Fundamental Definitions and Lower BoundsVirtual (see Zoom link)
May 6, 2021 11:00G. Neglia (Inria NEO): On the role of topology for distributed machine learningVirtual (see Zoom link)
Apr 29, 2021 11:00A. Vlachos (Cambridge): Fact-checking as a conversationVirtual (see Zoom link)
Apr 15, 2021 11:00P. Andrey (CHU Lille): Embedding representations of clinical data: towards a 'patient embedding'?Virtual (see Zoom link)
Mar 18, 2021 11:00Ulrich Aïvodji (UQAM): Fairwashing and model extraction: two challenges for XAIVirtual (see Zoom link)
Mar 11, 2021 11:00Joseph Renner (Inria Magnet): Mangoes: a python library for word embeddingsVirtual (see Zoom link)
Mar 4, 2021 11:00Yannick Bouillard (Inria Magnet): A Python package for Federated Learning: Towards a user friendly and production-ready solutionVirtual (see Zoom link)
Feb 25, 2021 11:00B. Balle (DeepMind): Private Summation in the Shuffle ModelVirtual (see Zoom link)
Feb 18, 2021 11:00Paul Mangold (Inria Magnet): TBAVirtual (see Zoom link)
Feb 11, 2021 11:00Gaurav Maheshwari (Inria Magnet): Debiasing static word embeddingsVirtual (see Zoom link)
Jan 21, 2021 10:00Priyansh Trivedi (Inria Magnet): Pruning Neural Networks and the Lottery Ticket HypothesisVirtual (see Zoom link)
Jan 14, 2021 11:00G. Kruszewski (Naver Labs): The quest for compositional and life-long learningVirtual (see Zoom link)
Dec 17, 2020 11:00L. Toni (UCL): Laplacian-regularized Graph BanditsVirtual (see Zoom link)
Dec 15, 2020 11:30H. Dubossarsky (University of Cambridge): Taking the good with the bad: Learning when models succeed, but also when they don’tVirtual (see Zoom link)
Dec 10, 2020 11:00Damien Sileo (KU Leuven): Aligning Natural Language Processing with human representationsVirtual (see Zoom link)