8 papers
Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy
Timothy L. Molloy, Girish N. Nair
In this paper, we consider the problem of controlling a partially observed Markov decision process (POMDP) in order to actively estimate its state trajectory over a fixed horizon w…
Smoothing-Averse Control: Covertness and Privacy from Smoothers
Timothy L. Molloy, Girish N. Nair
In this paper we investigate the problem of controlling a partially observed stochastic dynamical system such that its state is difficult to infer using a (fixed-interval) Bayesian…
Non-Stochastic Private Function Evaluation
Farhad Farokhi, Girish Nair
We consider private function evaluation to provide query responses based on private data of multiple untrusted entities in such a way that each cannot learn something substantially…
Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion
Timothy L. Molloy, Tobias Fischer, Michael Milford +1
A key challenge in visual place recognition (VPR) is recognizing places despite drastic visual appearance changes due to factors such as time of day, season, weather or lighting co…
An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels
Amir Saberi, Farhad Farokhi, Girish N. Nair
It is known that for a discrete channel with correlated additive noise, the ordinary capacity with or without feedback both equal , where $ \mathcal{H}(Z)…
Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information
Ghassen Zafzouf, Girish N. Nair, Jamie S. Evans
The problem of characterising the zero-error capacity region for multiple access channels even in the noiseless case has remained an open problem for over three decades. Motivated…