Publication
UCLID-Net: Single View Reconstruction in Object Space
Publications associées (58)
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In this thesis, we concentrate on advancing high-level behavioral control policies for robotic systems within the framework of Dynamical Systems (DS). Throughout the course of this research, a unifying thread weaving through diverse fields emerges, and tha ...
EPFL2024Anomalous and Chern topological waves in hyperbolic networks
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Hyperbolic lattices are a new type of synthetic materials based on regular tessellations in non-Euclidean spaces with constant negative curvature. While so far, there has been several theoretical investigations of hyperbolic topological media, experimental ...
2024Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment
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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 ...
London2023Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach
With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion fo ...
Research Publishing2023Realizing doubles: a conjugation zoo
Conjugation spaces are topological spaces equipped with an involution such that their fixed points have the same mod 2 cohomology (as a graded vector space, a ring and even an unstable algebra) but with all degrees divided by two, generalizing the classica ...
CAMBRIDGE UNIV PRESS2021Coordinate Difference Matrices
Martin Vetterli, Gilles Baechler, Miranda Krekovic, Golnooshsadat Elhami
In many problems such as phase retrieval, molecular biology, source localization, and sensor array calibration, one can measure vector differences between pairs of points and attempt to recover the position of these points; this class of problems is called ...
SIAM PUBLICATIONS2020Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms
Ola Nils Anders Svensson, Ashkan Norouzi Fard, Justin Dean Ward
Clustering is a classic topic in optimization with k-means being one of the most fundamental such problems. In the absence of any restrictions on the input, the best-known algorithm for k-means in Euclidean space with a provable guarantee is a simple local ...
SIAM PUBLICATIONS2020Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case
We consider the problem of finding an optimal transport plan between an absolutely continuous measure and a finitely supported measure of the same total mass when the transport cost is the unsquared Euclidean distance. We may think of this problem as close ...
SPRINGER HEIDELBERG2020An Improved Analysis of Local Search for Max-Sum Diversification
Friedrich Eisenbrand, Rico Zenklusen, Alfonso Bolívar Cevallos Manzano
We present new techniques to analyze natural local search algorithms for several variants of the max-sum diversification problem which, in its most basic form, is as follows: given an n-point set X subset of R-d and an integer k, select k points in X so th ...
INFORMS2019MATHICSE Technical Report: Volumetric Untrimming: Precise decomposition of trimmed trivariates into tensor products
3D objects, modeled using Computer Aided Geometric Design (CAGD) tools, are traditionally represented using a boundary representation (B-rep), and typically use spline functions to parameterize these boundary surfaces. However, recent development in physic ...
MATHICSE2019