Publications associées à Problématique

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

EPFL2024

Temporal windows of unconscious processing cannot easily be disrupted

Michael Herzog, Leila Drissi Daoudi - Kleinbauer, Lukas Vogelsang

Conscious perception is preceded by long periods of unconscious processing. These periods are crucial for analyzing temporal information and for solving the many ill-posed problems of vision. An important question is what starts and ends these windows and ...

Assoc Research Vision Ophthalmology Inc2024

Gaussian Process Regression for Materials and Molecules

Michele Ceriotti, David Mark Wilkins

We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computational materials science and chemistry. The focus of the present review is on the regression of atomistic properties: in particular, on the construction of in ...

AMER CHEMICAL SOC2021

A systematic review of machine learning classification methodologies for modelling passenger mode choice

Michel Bierlaire, Timothy Michael Hillel, Ying Jin

Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights into choice modelling research ques ...

ELSEVIER SCI LTD2021

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal

Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

2021

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

The Politics of Participatory Sustainability Assessments: An Analysis of Power

Livia Bianca Fritz, Franziska Meinherz

The participation of societal actors has been advanced as the gold standard of sustainability assessment processes and is thought essential to dealing with the plurality of normative claims surrounding sustainability and the need to take decisions in a con ...

Cambridge University Press2020

Deep Unfolding for Communications Systems: A Survey and Some New Directions

Alexios Konstantinos Balatsoukas Stimming, Christoph Studer

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learning, signal and image processing, and communication systems. This survey sum ...

IEEE2019

Historical Map of Albanian Villages: a Tool for Harmonizing Census Data throughout the 20th Century

Martin Schuler, Alain Nicolas Jarne

The present article deals with conceptual and methodological questions at the base of a research project of settlement history of Albania in the 20th century. We focus our interest on the identification of all local units and their population. In order to ...

2017

Parametric scripting for early design performance simulation

Guillaume Labelle

This paper discusses the advantages of using a coding interface both to describe form and run performance simulations in the context of architectural design. It outlines the relevance of combining recent interest in the design community for parametric scri ...

Elsevier Science Sa2014

Assessing ICT-enabled Innovation for Governance and Policy Making

Gianluca Carlo Misuraca

The objective of the thesis is to deepen the understanding of the interplay between ICT-enabled innovation and governance by providing evidence of the changes they are producing on governance processes and policy making mechanisms. Moreover, the thesis aim ...

EPFL2012

Evaluating Top-k Queries over Incomplete Data Streams

Karl Aberer, Parisa Haghani, Sebastian Michel

We study the problem of continuous monitoring of top-k queries over multiple non-synchronized streams. Assuming a sliding window model, this general problem has been a well addressed research topic in recent years. However, most approaches assume the strea ...

2009