Rembert Daems

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Variational Inference for SDEs Driven by Fractional Noise

ICLR 2024 (Spotlight)

paper project page We present the first variational inference framework for non-Markovian neural SDEs driven by fractional Brownian Motion. Our method builds upon the idea of approximating the fB...

Posted by Rembert Daems on April 22, 2024

KeyCLD

Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images

Rembert Daems, Jeroen Taets, Francis wyffels, Guillaume Crevecoeur This paper was published in Neurocomputing 573 (2024): 127175 and presented (oral, top 1.6%) at the Machine Learning and the Phys...

Posted by Rembert Daems on June 10, 2022

Sitting Posture Coach

Monitor and improve your sitting posture

code demo In the context of Full Stack Deep Learning my friend Peter asked me to cooperate on his final project of the course. We came up with Sitting Posture Coach and were selected in the top ...

Posted by Rembert Daems on October 18, 2021

Unsupervised Orientation Learning Using Autoencoders

Disentangled Representations of Orientation

paper slides I presented this work on the 2020 NeurIPS workshop on Differential Geometry meets Deep Learning. Abstract We present a method to learn the orientation of symmetric objects in real-w...

Posted by Rembert Daems on December 1, 2020