Search Results for author: David Kanaa

Found 5 papers, 0 papers with code

Course Correcting Koopman Representations

no code implementations23 Oct 2023 Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin

Koopman representations aim to learn features of nonlinear dynamical systems (NLDS) which lead to linear dynamics in the latent space.

Continuous-Time Meta-Learning with Forward Mode Differentiation

no code implementations ICLR 2022 Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon

Drawing inspiration from gradient-based meta-learning methods with infinitely small gradient steps, we introduce Continuous-Time Meta-Learning (COMLN), a meta-learning algorithm where adaptation follows the dynamics of a gradient vector field.

Few-Shot Image Classification Meta-Learning

Simple Video Generation using Neural ODEs

no code implementations7 Sep 2021 David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal

Despite having been studied to a great extent, the task of conditional generation of sequences of frames, or videos, remains extremely challenging.

Video Generation

TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?

no code implementations6 Jul 2020 Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau

We investigate whether Jacobi preconditioning, accounting for the bootstrap term in temporal difference (TD) learning, can help boost performance of adaptive optimizers.

Recurrent Semi-supervised Classification and Constrained Adversarial Generation with Motion Capture Data

no code implementations20 Nov 2015 Félix G. Harvey, Julien Roy, David Kanaa, Christopher Pal

We find that using such constraints allow to stabilize the training of recurrent adversarial architectures for animation generation.

Clustering Decoder +1

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