Publications associées à Robust regression

On the benefits of robust models in modulation recognition

Pascal Frossard, Javier Alejandro Maroto Morales

Deep Neural Networks (DNNs) using convolutional layers are state-of-the-art in many tasks in communications. However, in other domains, like image classification, DNNs have been shown to be vulnerable to adversarial perturbations, which consist of impercep ...

2021

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells

Mohammad Khaja Nazeeruddin, Giulia Grancini, Valentin Ianis Emmanuel Queloz, Albertus Adrian Sutanto, Giorgio Schileo, Valentino Romano

Low-dimensional perovskites (LDP) are nowadays recognized as promising materials for the realization of highly performing photovoltaic cells. However, issues related to film morphology, composition, crystal quality and material homogeneity limit the device ...

WILEY-V C H VERLAG GMBH2021

TDOA Source-Localization Technique Robust to Time-Synchronization Attacks

Jean-Yves Le Boudec, Marguerite Marie Nathalie Delcourt

In this paper, we focus on the localization of a passive source from time difference of arrival (TDOA) measurements. TDOA values are computed with respect to pairs of fixed sensors that are required to be accurately time-synchronized. This constitutes a we ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

A new approach for identifying positional isomers of glycans cleaved from monoclonal antibodies

Thomas Rizzo, Ahmed Ben Faleh, Stephan Warnke, Priyanka Bansal, Vasyl Yatsyna, Natalia Yalovenko

Glycosylation patterns in monoclonal antibodies (mAbs) can vary significantly between different host cell types, and these differences may affect mAbs safety, efficacy, and immunogenicity. Recent studies have demonstrated that glycan isomers with the termi ...

ROYAL SOC CHEMISTRY2021

Robustness via Cross-Domain Ensembles

Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar

We present a method for making neural network predictions robust to shifts from the training data distribution. The proposed method is based on making predictions via a diverse set of cues (called 'middle domains') and ensembling them into one strong predi ...

IEEE2021

Rational Agreement in the Presence of Crash Faults

Vincent Gramoli, Alejandro Ranchal Pedrosa

Blockchain systems need to solve consensus despite the presence of rational users and failures. The notion of (k, t)-robustness is key to derive impossibility results with k rational players and t faulty players. However, these t faulty players are always ...

IEEE2021

Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective

Pascal Frossard, Andrea Cavallaro, Apostolos Modas

Autonomous vehicles (AVs) rely on accurate and robust sensor observations for safety-critical decision making in a variety of conditions. The fundamental building blocks of such systems are sensors and classifiers that process ultrasound, radar, GPS, lidar ...

2020

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Kamiar Aminian, Anisoara Ionescu

Background: Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on fu ...

ELSEVIER IRELAND LTD2020

Bayesian regression explains how human participants handle parameter uncertainty

Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai

Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...

2020

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Robust regression

On the benefits of robust models in modulation recognition

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells

TDOA Source-Localization Technique Robust to Time-Synchronization Attacks

A new approach for identifying positional isomers of glycans cleaved from monoclonal antibodies

Robustness via Cross-Domain Ensembles

Rational Agreement in the Presence of Crash Faults

Bayesian modeling of brain function and behavior

Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Bayesian regression explains how human participants handle parameter uncertainty

Graph Chatbot

Chattez avec Graph Search

TDOA Source-Localization Technique Robust to Time-Synchronization Attacks

On the benefits of robust models in modulation recognition

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

A new approach for identifying positional isomers of glycans cleaved from monoclonal antibodies

Rational Agreement in the Presence of Crash Faults

Bayesian modeling of brain function and behavior

Robustness via Cross-Domain Ensembles

Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective

Bayesian regression explains how human participants handle parameter uncertainty

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells