Oct 23, 2023 · In this work we study autoencoder formulations of this problem, and different ways they can be used to model dynamics, specifically for future state prediction ...
Oct 28, 2023 · We use Periodic Reencoding as means for correcting the drift of Koopman representations at inference time.
Latent states are “course-corrected” periodically. ○ Stable and fast to run, yay! Open vs closed-loop and non-injective. Results.
Koopman representations aim to learn features of nonlinear dynamical systems. (NLDS) which lead to linear dynamics in the latent space. Theoretically, such.
Jan 17, 2024 · Course Correcting Koopman Representations Accepted at #ICLR2024! We identify problems with unrolling in imagination and propose an ...
Identifiable Exchangeable Mechanism for Causal Structure and Representation Learning ... Course Correcting Koopman Representations. Mila - Institut québécois d'IA.
Course Correcting Koopman Representations. Mahan Fathi, Clement Gehring ... Koopman representations aim to learn features of nonlinear dynamical systems ...
Oct 25, 2024 · The talk I gave @ Mila on learning linearized representations of dynamical systems (Koopman representations) is on YouTube.
Co-authors ; Course Correcting Koopman Representations. M Fathi, C Gehring, J Pilault, D Kanaa, PL Bacon, R Goroshin. International Conference on Learning ...
Last week, I gave a talk at @Mila_Quebec. The talk should be of interest to anyone working on predictive models, particularly in latent ...