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Publications associées (16)

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

EPFL2024

Milestones in tumor vascularization and its therapeutic targeting

Michele De Palma, Douglas Hanahan

Research into the mechanisms and manifestations of solid tumor vascularization was launched more than 50 years ago with the proposition and experimental demonstrations that angiogenesis is instrumental for tumor growth and was, therefore, a promising thera ...

Nature Portfolio2024

Genuinely distributed Byzantine machine learning

Rachid Guerraoui, El Mahdi El Mhamdi, Le Nguyen Hoang, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

Machine learning (ML) solutions are nowadays distributed, according to the so-called server/worker architecture. One server holds the model parameters while several workers train the model. Clearly, such architecture is prone to various types of component ...

2022

Sequence-dependent structural properties of B-DNA: what have we learned in 40 years?

John Maddocks, Daiva Petkeviciute, Rahul Sharma, Marco Pasi, Paolo Carloni

The structure of B-DNA, the physiological form of the DNA molecule, has been a central topic in biology, chemistry and physics. Far from uniform and rigid, the double helix was revealed as a flexible and structurally polymorphic molecule. Conformational ch ...

London2021

Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist

Kenneth Younge

We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how ...

MIT Press2020

Can Venice be saved?

Frédéric Kaplan, Isabella Di Lenardo

Will Venice be inhabitable in 2100? What kinds of policies can we develop to navigate the best scenarios for this floating city? In 2012, the École Polytechnique Fédérale de Lausanne (EPFL) and the University Ca’Foscari launched a programme called the Veni ...

2019

Venice Lessons

Suspended in the struggle between sea and soil, Venice is an ambiguous land where human traces cannot survive without cyclical preservation efforts and continual compromise. Its story has often been told through vedute and capricci, paintings that conceptu ...

PARK BOOKS2016

Collaborative Web-GIS platform for systematic exploration of Lake Geneva

Ulrich Lemmin, Yosef Akhtman, Lorenzo Martelletti, Olga Grandjean

We have developed and deployed a Web-based GIS data management framework, which facilitates an effective and highly structured search, retrieval and visualisation of multi-modal scientific data, as well as its subsequent dissemination in multiple and stand ...

ISPRS2012

Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off

François Fleuret, Nicolae Suditu

Content-based image retrieval systems have to cope with two different regimes: understanding broadly the categories of interest to the user, and refining the search in this or these categories to converge to specific images among them. Here, in contrast wi ...

2012

Multi-Objective Façade Optimization for Daylighting Design Using a Genetic Algorithm

Marilyne Andersen

A building’s facade design has significant impact on the daylighting performance of interior spaces. This paper presents a tool based on a genetic algorithm (GA) which facilitates exploration of facade designs generated based on illuminance and/or glare ob ...

2010

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