Concept
Problèmes de Hilbert
Publications associées (99)
Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
The task of discovering equivalent entities in knowledge graphs (KGs), so-called KG entity alignment, has drawn much attention to overcome the incompleteness problem of KGs. The majority of existing techniques learns the pointwise representations of entiti ...
London2023Hands-on tasks make learning visible: a learning analytics lens on the development of mechanistic problem-solving expertise in makerspaces
Richard Lee Davis, Bertrand Roland Schneider
This study investigated the impact of participating in a year-long digital-fabrication course on high-school seniors' problem-solving skills, with a focus on problems involving mechanistic systems. The research questions centered on whether working in a ma ...
New York2023Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization
Isabel Haasler, Axel Ringh, Yiqiang Chen
In this letter we consider mean field type control problems with multiple species that have different dynamics. We formulate the discretized problem using a new type of entropy-regularized multimarginal optimal transport problems where the cost is a decomp ...
2023On the Validity of Consensus
Rachid Guerraoui, Jovan Komatovic, Pierre Philippe Civit, Manuel José Ribeiro Vidigueira, Seth Gilbert
The Byzantine consensus problem involves.. processes, out of which t < n could be faulty and behave arbitrarily. Three properties characterize consensus: (1) termination, requiring correct (nonfaulty) processes to eventually reach a decision, (2) agreement ...
New York2023Continuation Methods For Riemannian Optimization
Daniel Kressner, Axel Elie Joseph Séguin
Numerical continuation in the context of optimization can be used to mitigate convergence issues due to a poor initial guess. In this work, we extend this idea to Riemannian optimization problems, that is, the minimization of a target function on a Riemann ...
SIAM PUBLICATIONS2022Blind as a bat: spatial perception without sight
Among our five senses, we rely mostly on audition and vision to perceive an environment. Our ears are able to detect stimuli from all directions, especially from obstructed and far-away objects. Even in smoke, harsh weather conditions, or at night â situ ...
EPFL2021REX technologies for profiling and decoding the electrophile signaling axes mediated by Rosetta Stone proteins
It is now clear that some cysteines on some proteins are highly tuned to react with electrophiles. Based on numerous studies, it is also established that electrophile sensing underpins rewiring of several critical signaling processes. These electrophile-se ...
ACADEMIC PRESS LTD-ELSEVIER SCIENCE LTD2020A mathematical model of the human heart
In this paper, we present a mathematical model able to simulate the cardiac function. We first describe the basic physical principles behind the mathematical equations, then we illustrate a few examples of application to problems of clinical relevance. ...
PENSIERO SCIENTIFICO EDITOR2020Stationary Structures near the Kolmogorov and Poiseuille Flows in the 2d Euler Equations
We study the behavior of solutions to the incompressible 2d Euler equations near two canonical shear flows with critical points, the Kolmogorov and Poiseuille flows, with consequences for the associated Navier-Stokes problems. We exhibit a large family of ...
2020What graph neural networks cannot learn: depth vs width
This paper studies the expressive power of graph neural networks falling within the message-passing framework (GNNmp). Two results are presented. First, GNNmp are shown to be Turing universal under sufficient conditions on their depth, width, node attribut ...
2020