... where Deep Learning happens in Toulouse
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Dear TIdDLers,
thanks for your interest in and positive responses to the NeurIPS meetup we are organizing in collaboration with TDS. Registrations are officially closed (mostly to make sure the catering --generously sponsored by ANITI-- will be enough for everyone), and we are glad to finally share the final program (see below).
If you wanted to join but didn't register yet, you may still email andrea.alamia@cnrs.fr to make a request, we'll try our best to accommodate you. Similarly, if you registered but finally won't be able to come, please let us know so we can offer your spot to somebody else.
We are looking forward to seeing you on Monday.
All the best,
Andrea (for the Animation Committee)
NeurIPS meetup Toulouse program:
[Monday, Dec 16th, the Village by Ca!, 31 Allees Jules Guesdes, Toulouse]
9:30 - 10:00 : Welcome and Introduction + Coffee and Breakfast
10:00 - 10:15 : Projection 1: "Uniform convergence may be unable to explain generalization in deep learning"
10:15 - 10:45 : "Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning"
by Emmanuel Rachelson and Erwan Lecarpentier (ISAE/SUPAERO)
10:45 - 11:00 : Projection 2: "Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs"
11:00 - 11:30 : "Bio-inspired few-shot learning on the edge with Akida" by Sebastien Crouzet and Douglas McLelland (BrainChip)
11:30 - 12:00 : "Neural Networks for Poetry and Song Generation" by Tim Van de Cruys (IRIT/ANITI)
12:00 - 13:30 : Buffet lunch
13:30 - 13:45 : Projection 3: "Causal Confusion in Imitation Learning"
13:45 - 14:15 : "Training convolutional spiking neural networks with backpropagation through time & application to speech processing"
by Thomas Pellegrini and Timothée Masquelier (IRIT, CerCo)
14:15 - 14:30 : Projection 4: "Geometry-Aware Neural Rendering"
14:30 - 15:00 : "3D trajectories analysis using spiking cameras" by Guillaume Debat Robin Baurès, Benoit Cottereau, Timothée Masquelier, Tushar Chauhan, Clément Joly, Olivier Brousse, Michel Paindavoine (CerCo)
15:00 - 15:30 : --- Coffee break ---
15:30 - 15:45 : Projection 5: "A neurally plausible model learns successor representations in partially observable environments"
15:45 - 16:15 : "Asymptotically exact data augmentation: models, algorithms and theory"
by Maxime Vono, Nicolas Dobigeon and Pierre Chainais (IRIT/ENSEEIHT)
16:15 - 17:00: Round table / General discussion
17:00 - 18:00: Cocktail
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