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Problématique

Publications associées (32)

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

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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 Inc2023

I did not use WeChat as my main method or main source of materials, but I realized that during my fieldwork in China, I did use WeChat very often to help me collect data, and I see the potential of using WeChat as an increasingly important method for furth ...

2022

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

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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

Towards a Framework for Light-Dosimetry Studies: Methodological Considerations

Marilyne Andersen, Steffen Lutz Hartmeyer, Forrest Simon Webler

For field research of non-visual effects of light, accurate measurement of personal light exposure is required. A consensus framework for light-dosimetry could improve non-visual field research and ensure comparability between studies. Here we present a re ...

Commission Internationale de L'Eclairage (CIE)2021

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

Better Generic Objects Counting When Asking Questions to Images: A Multitask approach for Remote Sensing Visual Question Answering

Devis Tuia, Benjamin Alexander Kellenberger, Sylvain Lobry

Visual Question Answering for Remote Sensing (RSVQA) aims at extracting information from remote sensing images through queries formulated in natural language. Since the answer to the query is also provided in natural language, the system is accessible to n ...

2020

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