Publications associées à Connaissance explicite

Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

We prove global in time well-posedness for perturbations of the 2D stochastic Navier-Stokes equations partial derivative( t)u + u center dot del u = Delta u - del p + sigma + xi, u(0, center dot ) = u(0),div (u) = 0, driven by additive space-time white noi ...

Springernature2024

Modeling Structured Data in Attention-based Models

Alireza Mohammadshahi

Natural language processing has experienced significant improvements with the development of Transformer-based models, which employ self-attention mechanism and pre-training strategies. However, these models still present several obstacles. A notable issue ...

EPFL2023

The Facets of Intangible Heritage in Southern Chinese Martial Arts: Applying a Knowledge-Driven Cultural Contact Detection Approach

Yumeng Hou

Investigating the intangible nature of a cultural domain can take multiple forms, addressing for example the aesthetic, epistemic and social dimensions of its phenomenology. The context of Southern Chinese martial arts is of particular significance as it c ...

2023

Musical Garden Paths: Evidence for Syntactic Revision Beyond the Linguistic Domain

Martin Alois Rohrmeier, Steffen Alexander Herff, Gabriele Cecchetti

While theoretical and empirical insights suggest that the capacity to represent and process complex syntax is crucial in language as well as other domains, it is still unclear whether specific parsing mechanisms are also shared across domains. Focusing on ...

Wiley2022

SKILL: Structured Knowledge Infusion for Large Language Models

Martin Jaggi, Fedor Moiseev

Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks. However, it is largely unexplored whether they can better internalize knowledge from a structured data, such as a knowledge graph, or from ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Optimization Method for Extracting Stabilizer Geometry and Properties of REBCO Tapes

Francesco Grilli, Nicolo' Riva, Arooj Akbar, Bertrand Dutoit, Bertrand Dutoit

A good knowledge of material properties is a critical aspect for modeling high-temperature superconductor (HTS) devices. However, the electrical resistivity of coated conductors above the critical current is limited. The major challenge in characterizing t ...

2021

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Kshitij Sharma, Jennifer Kaitlyn Olsen

Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...

ASSOC COMPUTING MACHINERY2020

Monitoring opérationnel pour l'intégration des enjeux de durabilité aux projets de régénération de friches urbaines

Martine Laprise

In a context where the territorial development stakeholders seek to limit urban sprawl, urban brownfields represent an important potential: their regeneration allows an increased density within the existing built fabric and a revitalization at the neighbor ...

EPFL2017

Semantically Enriched Industry Data & Information Modelling: A feasibility study on Shop-floor Incident Recognition

Dimitrios Kyritsis, Damiano Nunzio Arena, Apostolos Perdikakis

Knowledge modelling at industrial level consists an importunate activity nowadays due to the ceaseless advances in technologies and standards applied as well as the extensive amount of unrelated real-time and historical data at shop-floor level. A Common I ...

IEEE2016

Obligatory averaging in mean size perception

Aire Raidvee

The perception of ensemble characteristics is often regarded as an antidote to an established bottleneck in focused attention and working memory, both of which appear to be limited in capacity to a few objects only. In order to test the associative law of ...

Elsevier2014