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Related publications (93)
An interior penalty coupling strategy for isogeometric non-conformal Kirchhoff-Love shell patches
Annalisa Buffa, Pablo Antolin Sanchez, Giuliano Guarino
This work focuses on the coupling of trimmed shell patches using Isogeometric Analysis, based on higher continuity splines that seamlessly meet the C 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackag ...
Springer2024Global, Passive Detection of Connection Tampering
Louis-Henri Manuel Jakob Merino
In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...
New York2023DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
Pascal Frossard, Ádám Dániel Ivánkay
Along with the successful deployment of deep neural networks in several application domains, the need to unravel the black-box nature of these networks has seen a significant increase recently. Several methods have been introduced to provide insight into t ...
Assoc Computational Linguistics-Acl2023Multi-Robot 3D Gas Distribution Mapping: Coordination, Information Sharing and Environmental Knowledge
Alcherio Martinoli, Chiara Ercolani, Thomas Laurent Peeters
Environmental monitoring and mapping operations are an essential tool to combat climate change. An important branch of this domain concerns the construction of reliable gas maps. Adaptive navigation strategies coupled with multi-robot systems improve the o ...
2023Groove: Flexible Metadata-Private Messaging
Metadata-private messaging designs that scale to support millions of users are rigid: they limit users to a single device that is online all the time and transmits on short regular intervals, and require users to choose precisely when each of their buddies ...
Berkeley2022Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis, Mackenzie Mathis, Steffen Schneider, Matthias Bethge, Thomas Ray Biasi, Mert Yüksekgönül
Neural networks are highly effective tools for pose estimation. However, as in other computer vision tasks, robustness to out-of-domain data remains a challenge, especially for small training sets that are common for real-world applications. Here, we probe ...
IEEE COMPUTER SOC2021Encrypted DNS double right arrow Privacy? A Traffic Analysis Perspective
Carmela González Troncoso, Sandra Deepthy Siby, Narseo Vallina Rodriguez
Virtually every connection to an Internet service is preceded by a DNS lookup. Lookups are performed without any traffic-level protection, thus enabling manipulation, redirection, surveillance, and censorship. To address these issues, large organizations s ...
INTERNET SOC2020Eliminating turbulent self-interaction through the parallel boundary condition in local gyrokinetic simulations
Stephan Brunner, Justin Richard Ball
In this work, we highlight an issue that may reduce the accuracy of many local nonlinear gyrokinetic simulations – turbulent self-interaction through the parallel boundary condition. Given a sufficiently long parallel correlation length, individual turbule ...
2020Operating System and Network Co-Design for Latency-Critical Datacenter Applications
Datacenters are the heart of our digital lives. Online applications, such as social-networking and e-commerce, run inside datacenters under strict Service Level Objectives for their tail latency. Tight latency SLOs are necessary for such services to remain ...
EPFL2020Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Pascal Fua, Pavan P Ramdya, Helge Jochen Rhodin, Semih Günel, Siyuan Li, Mirela Ostrek
Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. Human pose estimation attains remarkable accuracy when trained on real or simulated datase ...
2020