Publications related to Characterising directed and undirected metrics of high-order interdependence

Related publications (13)

Sequential Reasoning with Socially Caused Beliefs

Machine learning and artificial intelligence methods have achieved remarkable success, matching and even surpassing human capabilities in various complex tasks. However, many demonstrations have generally neglected a critical part of the intelligence that ...

EPFL2025

Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses

Pal Christie Ryalen

We consider continuous-time survival and event-history settings, where our aim is to graphically represent causal structures allowing us to characterize when a causal parameter is identified from observational data. This causal parameter is formalized as t ...

2025

Overcoming Distribution Shifts and Imbalance Challenges in Representation Learning for Deep Regression Models

Ismail Nejjar

Deep learning has shown remarkable potential for industrial applications, particularly in predictive maintenance and condition monitoring. A key challenge in this domain is prognostics, specifically predicting the Remaining Useful Life (RUL) of assets - a ...

EPFL2025

Spatial Modeling for Building Design Evaluation: from Visual Landscape Quality Assessment to Devaluation Risk Estimation

Adam Robert Swietek

Zoning reform is a crucial tool for cities to adapt to contemporary challenges. However, its implementation remains challenging. Property owners, with a vested interest in the value of their neighborhoods, are sensitive to local developments and the potent ...

EPFL2024

Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Andreas Fuster

We conduct two survey experiments to study which information people choose to consume and how it affects their beliefs. In the first experiment, respondents choose between optimistic and pessimistic article headlines related to the COVID-19 pandemic and ar ...

2024

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Julien René Fageot, Le Nguyen Hoang, Sadegh Farhadkhani, Oscar Jean Olivier Villemaud

Many applications, e.g. in content recommendation, sports, or recruitment, leverage the comparisons of alternatives to score those alternatives. The classical Bradley-Terry model and its variants have been widely used to do so. The historical model conside ...

AAAI Press2024

An Industrial West? A Mixed-Methods Analysis of Newspapers Discourses about Technology over One Hundred and Ten Years (1830-1940)

Emmanuelle Adelina Virginie Denove

Recent work analyzing the social impact of technology in processes of globalization signals a shared Western voice in sustainability related discourses dating back twenty years (Fernández Fernández and Savcisens. However, many scholars propose the idea tha ...

Centre pour la Communication Scientifique Directe (CCSD)2024

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Ana-Maria Cretu

Machine learning models have been shown to leak sensitive information about their training datasets. Models are increasingly deployed on devices, raising concerns that white-box access to the model parameters increases the attack surface compared to black- ...

Privacy Enhancing Technologies Symposium Advisory Board2024

A structured prediction approach for robot imitation learning

Aude Billard, Iason Batzianoulis

We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observed to have a prominent role. Structured prediction is a form of supervised le ...

Sage Publications Ltd2023

Causal imitability under context-specific independence relations

Negar Kiyavash, Sina Akbari, Fateme Jamshidi

Drawbacks of ignoring the causal mechanisms when performing imitation learning have recently been acknowledged. Several approaches both to assess the feasibility of imitation and to circumvent causal confounding and causal misspecifications have been propo ...

Curran Associates, Inc.2023

Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences

Anne-Florence Raphaëlle Bitbol, Nicola Dietler

Inferring protein-protein interactions from sequences is an important task in computational biology. Recent methods based on Direct Coupling Analysis (DCA) or Mutual Information (MI) allow to find interaction partners among paralogs of two protein families ...

Public Library Science2022

Dataset to Model the Sustainability of a Primary School Digital Education Curricular Reform and Professional Development Program

Francesco Mondada, Barbara Bruno, Jessica Elke Dehler Zufferey, Morgane Solène Denise Chevalier, Sunny Jonathan Jean-Jacques Laurent Avry

This dataset contains the quantitative teacher data used to analyse the sustainability of an in-service teacher training program for Digital Education that took place from September 2019 to March 2020 in the Canton Vaud in Switzerland. As such, the study f ...

Zenodo2022

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022