Publications related to Sizing Studies for Detecting Graphical Models

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

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

Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration

Jan Skaloud, Stéphane Guerrier, Mehran Khaghani

The task of inertial sensor calibration has required the development of various techniques to take into account the sources of measurement error coming from such devices. The calibration of the stochastic errors of these sensors has been the focus of incre ...

2020

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

Entropy as a tool for crystal discovery

Pablo Miguel Piaggi

The computational prediction of crystal structures has emerged as an useful alternative to expensive and often cumbersome experiments. We propose an approach to the prediction of crystal structures and polymorphism based on reproducing the crystallization ...

EPFL2019

Predicting polymorphism in molecular crystals using orientational entropy

Pablo Miguel Piaggi, Michele Parrinello

We introduce a computational method to discover polymorphs in molecular crystals at finite temperature. The method is based on reproducing the crystallization process starting from the liquid and letting the system discover the relevant polymorphs. This id ...

2018

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Mohamad Baker Dia

We are living in the era of "Big Data", an era characterized by a voluminous amount of available data. Such amount is mainly due to the continuing advances in the computational capabilities for capturing, storing, transmitting and processing data. However, ...

EPFL2018

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Arpan Mukhopadhyay

This paper addresses the mean-field behavior of large-scale systems of parallel servers with a processor sharing service discipline when arrivals are Poisson and jobs have general service time distributions when an SQ(d) routing policy is used. Under this ...

ELSEVIER SCIENCE BV2018

Locally differentially-private distribution estimation

Michael Christoph Gastpar, Adriano Pastore

We consider a setup in which confidential i.i.d. samples X1, ..., Xn from an unknown discrete distribution PX are passed through a discrete memoryless privatization channel (a.k.a. mechanism) which guarantees an epsilon-level of local differential privacy. ...

Ieee2016

Quantification of roughness and spatial distribution of dislocations in MBE and MOVPE grown LED heterostructures

Nicolas Grandjean

A combination of nanoscale imaging techniques such as atomic force microscopy and scanning electron microscopy are used to investigate the relationship between surface morphology and height statistics of GaN cap layers in InGaN/GaN light emitting diode het ...

Elsevier Sci Ltd2016

Sizing Studies for Detecting Graphical Models

Graph Chatbot

Chat with Graph Search

Robust Generalization via $\alpha$-Mutual Information

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

Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration

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

Entropy as a tool for crystal discovery

Predicting polymorphism in molecular crystals using orientational entropy

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Locally differentially-private distribution estimation

Quantification of roughness and spatial distribution of dislocations in MBE and MOVPE grown LED heterostructures

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

Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration

Locally differentially-private distribution estimation

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

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Robust Generalization via $\alpha$-Mutual Information

Entropy as a tool for crystal discovery

Predicting polymorphism in molecular crystals using orientational entropy

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Quantification of roughness and spatial distribution of dislocations in MBE and MOVPE grown LED heterostructures