no code implementations • 23 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.
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.
no code implementations • 7 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.
no code implementations • 6 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.
no code implementations • 20 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.