Publications related to Practical algorithms for gathering stored correlated data in a network

Learning in Volatile Environments With the Bayes Factor Surprise

Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi, Vasiliki Liakoni

Surprise-based learning allows agents to rapidly adapt to nonstationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarchical model gives rise to a surprise-modulated trade-off between forgetting o ...

MIT PRESS2021

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

Jean-Paul Richard Kneib, Michaël Yannick Juillard

This paper describes the second iteration in the development of a simulation tool that provides trade-offs of avionic architectures for future Active Debris Removal (ADR) space missions. Challenges of ADR missions lay in their ability to first detect and t ...

IEEE2021

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Michel Bierlaire, Timothy Michael Hillel, Virginie Janine Camille Lurkin, Gael Lederrey

The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for the esti ...

2020

Deterministic Algorithms for Submodular Maximization Problems

Moran Feldman

Randomization is a fundamental tool used in many theoretical and practical areas of computer science. We study here the role of randomization in the area of submodular function maximization. In this area, most algorithms are randomized, and in almost all c ...

ASSOC COMPUTING MACHINERY2018

Pyroomacoustics: A Python Package For Audio Room Simulation And Array Processing Algorithms

Eric Bezzam, Ivan Dokmanic, Robin Scheibler

We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main components: an intuitive Python object-oriented interface to quickly c ...

IEEE2018

On Computing Breakpoint Distances for Genomes with Duplicate Genes

Bernard Moret, Mingfu Shao

A fundamental problem in comparative genomics is to compute the distance between two genomes in terms of its higher level organization (given by genes or syntenic blocks). For two genomes without duplicate genes, we can easily define (and almost always eff ...

Mary Ann Liebert, Inc2017

Efficient Algorithms for the Data Exchange Problem

Michael Christoph Gastpar, Sameer Pawar

In this paper, we study the data exchange problem, where a set of users is interested in gaining access to a common file, but where each has only partial knowledge about it as side-information. Assuming that the file is broken into packets, the side-inform ...

Institute of Electrical and Electronics Engineers2016

From Acoustic Room Reconstruction to SLAM

Martin Vetterli, Ivan Dokmanic

Recent works on reconstruction of room geometry from echoes assume that the geometry of the sensor array is known. In this paper, we show that such an assumption is not essential; echoes provide sufficient clues to reconstruct the room’s and the array’s ge ...

Ieee2016

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Practical algorithms for gathering stored correlated data in a network

Learning in Volatile Environments With the Bayes Factor Surprise

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Robust Adaptive Decision Making: Bayesian Optimization and Beyond

When Stuck, Flip a Coin

Deterministic Algorithms for Submodular Maximization Problems

Pyroomacoustics: A Python Package For Audio Room Simulation And Array Processing Algorithms

On Computing Breakpoint Distances for Genomes with Duplicate Genes

Efficient Algorithms for the Data Exchange Problem

From Acoustic Room Reconstruction to SLAM

Graph Chatbot

Chat with Graph Search

On Computing Breakpoint Distances for Genomes with Duplicate Genes

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Robust Adaptive Decision Making: Bayesian Optimization and Beyond

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

When Stuck, Flip a Coin

Learning in Volatile Environments With the Bayes Factor Surprise

From Acoustic Room Reconstruction to SLAM

Pyroomacoustics: A Python Package For Audio Room Simulation And Array Processing Algorithms

Deterministic Algorithms for Submodular Maximization Problems

Efficient Algorithms for the Data Exchange Problem