11 citations · 32 across the 8 of their papers we have counts for
4 papers · 1 filter
Filter-Aware Model-Predictive Control
Baris Kayalibay, Atanas Mirchev, Ahmed Agha +2
Partially-observable problems pose a trade-off between reducing costs and gathering information. They can be solved optimally by planning in belief space, but that is often prohibi…
PRISM: Probabilistic Real-Time Inference in Spatial World Models
Atanas Mirchev, Baris Kayalibay, Ahmed Agha +3
We introduce PRISM, a method for real-time filtering in a probabilistic generative model of agent motion and visual perception. Previous approaches either lack uncertainty estimate…
Tracking and Planning with Spatial World Models
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt +1
We introduce a method for real-time navigation and tracking with differentiably rendered world models. Learning models for control has led to impressive results in robotics and com…
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer, Maximilian Soelch, Atanas Mirchev +2
Amortised inference enables scalable learning of sequential latent-variable models (LVMs) with the evidence lower bound (ELBO). In this setting, variational posteriors are often on…