Variational Inference for SDEs Driven by Fractional Noise

no code implementations • 19 Oct 2023 • Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal

In this paper, building upon the Markov approximation of fBM, we derive the evidence lower bound essential for efficient variational inference of posterior path measures, drawing from the well-established field of stochastic analysis.

Variational Inference Video Prediction

CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation

no code implementations • 21 Aug 2022 • Peter De Roovere, Rembert Daems, Jonathan Croenen, Taoufik Bourgana, Joris de Hoog, Francis wyffels

We introduce CenDerNet, a framework for 6D pose estimation from multi-view images based on center and curvature representations.

6D Pose Estimation Object

KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images

no code implementations • 22 Jun 2022 • Rembert Daems, Jeroen Taets, Francis wyffels, Guillaume Crevecoeur

We demonstrate learning of Lagrangian dynamics from images on the dm_control pendulum, cartpole and acrobot environments.

Acrobot valid