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stat.ML2019★ 3 cited
Variational Tracking and Prediction with Generative Disentangled State-Space Models
Adnan Akhundov, Maximilian Soelch, Justin Bayer +1
We address tracking and prediction of multiple moving objects in visual data streams as inference and sampling in a disentangled latent state-space model. By encoding objects separ…
stat.ML2019
On Deep Set Learning and the Choice of Aggregations
Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt +1
Recently, it has been shown that many functions on sets can be represented by sum decompositions. These decompositons easily lend themselves to neural approximations, extending the…