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Concept

Connaissance explicite

Publications associées (16)

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

Martin Hairer

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 ...

Association for Computing Machinery2023

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

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

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

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

DRSim: A Cyber Physical Simulator for Demand Response Systems

Karl Aberer, Dipanjan Chakraborty, Tri Kurniawan Wijaya

Demand Response (DR) is a mechanism in which electricity consumers alter their demand in response to power grid’s supply and economic conditions. DR programs have the potential to improve resource efficiency, sustainability, grid reliability and economic v ...

2013

What makes companies pursue an Open Science strategy?

Julio Diego Salvador Raffo, Markus Simeth

Whereas recent scholarly research has provided many insights about universities engaging in commercial activities, there is still little empirical evidence regarding the opposite phenomenon of companies disseminating scientific knowledge. Our paper aims to ...

Elsevier Science Bv2013

Crowdsourcing As A Solution To Distant Search

Christopher Tucci

We argue that under certain circumstances crowdsourcing transforms distant search into local search, improving the efficiency and effectiveness of problem solving. Under such circumstances a firm may choose to crowdsource problem solving rather than solve ...

Academy of Management2012

Comparison-Based Learning with Rank Nets

Amin Karbasi

We consider the problem of search through comparisons, where a user is presented with two candidate objects and reveals which is closer to her intended target. We study adaptive strategies for finding the target, that require knowledge of rank relationship ...

2012

Knowledge, Networks, and Knowledge Networks: A Review and Research Agenda

Anu Wadhwa

A large and growing body of empirical research shows that social relationships and the networks these relationships constitute are influential in explaining the processes of knowledge creation, diffusion, absorption and use. We refer to such networks as 'k ...

2012

Incremental Identification of Reaction and Mass-Transfer Kinetics Using the Concept of Extents

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

This paper proposes a variation of the incremental approach to identify reaction and mass-transfer kinetics (rate expressions and the corresponding rate parameters) from concentration measurements for both homogeneous and gas-liquid reaction systems. This ...

2011