Variational Tracking and Prediction with Generative Disentangled State-Space Models

no code implementations • 14 Oct 2019 • Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt

We address tracking and prediction of multiple moving objects in visual data streams as inference and sampling in a disentangled latent state-space model.

Bayesian Inference Position

On Deep Set Learning and the Choice of Aggregations

no code implementations • 18 Mar 2019 • Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer

Recently, it has been shown that many functions on sets can be represented by sum decompositions.

Sequence Labeling: A Practical Approach

1 code implementation • 12 Aug 2018 • Adnan Akhundov, Dietrich Trautmann, Georg Groh

We take a practical approach to solving sequence labeling problem assuming unavailability of domain expertise and scarcity of informational and computational resources.

Chunking NER +2