Publications related to Geometric distribution

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Marcos Rubinstein, Farhad Rachidi-Haeri, Hamidreza Karami, Elias Per Joachim Le Boudec, Nicolas Mora Parra

Time reversal exploits the invariance of electromagnetic wave propagation in reciprocal and lossless media to localize radiating sources. Time-reversed measurements are back-propagated in a simulated domain and converge to the unknown source location. The ...

2024

Strain-based analysis on the influence of local undercut geometry on fatigue crack initiation life

Alain Nussbaumer, Heikki Tapani Remes, Abinab Niraula

The local undercut defects at the weld toe provide a potential initiation site for fatigue cracks and significantly impact the structure's fatigue strength. The influence of continuous undercut depth on fatigue performance is widely studied, but the resear ...

2024

On the Strategyproofness of the Geometric Median

Rachid Guerraoui, Sadegh Farhadkhani, El Mahdi El Mhamdi, Le Nguyen Hoang

The geometric median, an instrumental component of the secure machine learning toolbox, is known to be effective when robustly aggregating models (or gradients), gathered from potentially malicious (or strategic) users. What is less known is the extent to ...

2023

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Michael Christoph Gastpar, Aditya Pradeep

One major challenge in distributed learning is to efficiently learn for each client when the data across clients is heterogeneous or non iid (not independent or identically distributed). This provides a significant challenge as the data of the other client ...

2023

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

Marcos Rubinstein, Farhad Rachidi-Haeri, Hamidreza Karami, Elias Per Joachim Le Boudec, Nicolas Mora Parra

Time reversal exploits the invariance of electromagnetic wave propagation in reciprocal and lossless media to localise radiating sources. Time-reversed measurements are back-propagated in a simulated domain and converge to the unknown source location. The ...

2023

An a posteriori error estimator for isogeometric analysis on trimmed geometries

Annalisa Buffa, Rafael Vazquez Hernandez, Ondine Gabrielle Chanon

Trimming consists of cutting away parts of a geometric domain, without reconstructing a global parametrization (meshing). It is a widely used operation in computer-aided design, which generates meshes that are unfitted with the described physical object. T ...

2022

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Daniel Kuhn, Andreas Krause, Tobias Sutter

Training models that perform well under distribution shifts is a central challenge in machine learning. In this paper, we introduce a modeling framework where, in addition to training data, we have partial structural knowledge of the shifted test distribut ...

2021

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Bahar Taskesen

Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard. Even though such problems are ubiquitous in statistics, ...

2021

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity

Kamiar Aminian, Farzin Dadashi, Benoît Mariani, Arash Atrsaei

Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions prov ...

2021

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Geometric distribution

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Strain-based analysis on the influence of local undercut geometry on fatigue crack initiation life

On the Strategyproofness of the Geometric Median

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

An a posteriori error estimator for isogeometric analysis on trimmed geometries

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity

Graph Chatbot

Chat with Graph Search

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Strain-based analysis on the influence of local undercut geometry on fatigue crack initiation life

An a posteriori error estimator for isogeometric analysis on trimmed geometries

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

On the Strategyproofness of the Geometric Median

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity