Publications related to Information theory

Distributed Cooperative Localization with Efficient Pairwise Range Measurements

Alcherio Martinoli, Anwar Ahmad Quraishi

We present a method based on covariance intersection for cooperative localization with pairwise range-only relative measurements. Our method was designed for underwater robots equipped with an acoustic communication and ranging system. Range measurements a ...

2021

ADAPT21: Adaptability as a 21st century skill

Alexandra Corina Niculescu

All life is problem solving. We are most often faced with situations, in which the information that is needed to solve a problem is not immediately obvious and in which things can change quite rapidly. For instance, imagine the software on your smartphone ...

Open Science Framework2021

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

Volkan Cevher, Luca Viano, Yu-Ting Huang, Kamalaruban Parameswaran

We study the inverse reinforcement learning (IRL) problem under a transition dynamics mismatch between the expert and the learner. Specifically, we consider the Maximum Causal Entropy (MCE) IRL learner model and provide a tight upper bound on the learner’s ...

2021

Converse for Multi-Server Single-Message PIR with Side Information

Michael Christoph Gastpar, Su Li

Multi-server single-message private information retrieval is studied in the presence of side information. In this problem, K independent messages are replicatively stored at N non-colluding servers. The user wants to privately download one message from the ...

2020

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Ian Smith, Numa Joy Bertola, Marco Proverbio

In developed countries, structural assessment of existing bridges should not be performed using the same conservative models that are used at the design stage. Field measurements of real behavior provide additional information for the inference of previous ...

2020

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

We give an information-theoretic interpretation of Canonical Correlation Analysis (CCA) via (relaxed) Wyner's common information. CCA permits to extract from two high-dimensional data sets low-dimensional descriptions (features) that capture the commonalit ...

IEEE2020

Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Measurement-system design for structural identification

Numa Joy Bertola

In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...

EPFL2020

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Kerstin Preuschoff, Leyla Loued-Khenissi

Uncertainty presents a problem for both human and machine decision-making. While utility maximization has traditionally been viewed as the motive force behind choice behavior, it has been theorized that uncertainty minimization may supersede reward motivat ...

2020

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations

Michael Christoph Gastpar, Sung Hoon Lim, Adriano Pastore, Chen Feng

Algebraic network information theory is an emerging facet of network information theory, studying the achievable rates of random code ensembles that have algebraic structure, such as random linear codes. A distinguishing feature is that linear combinations ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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Distributed Cooperative Localization with Efficient Pairwise Range Measurements

ADAPT21: Adaptability as a 21st century skill

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

Converse for Multi-Server Single-Message PIR with Side Information

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Common Information Components Analysis

Robust Generalization via $\alpha$-Mutual Information

Measurement-system design for structural identification

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations

Common Information Components Analysis

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Converse for Multi-Server Single-Message PIR with Side Information

Measurement-system design for structural identification

Distributed Cooperative Localization with Efficient Pairwise Range Measurements

ADAPT21: Adaptability as a 21st century skill

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

Robust Generalization via $\alpha$-Mutual Information

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations