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7 papers · 1 filter
Functional Split of In-Network Deep Learning for 6G: A Feasibility Study
Jia He, Huanzhuo Wu, Xun Xiao +2
In existing mobile network systems, the data plane (DP) is mainly considered a pipeline consisting of network elements end-to-end forwarding user data traffics. With the rapid matu…
TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version)
Marian Ulbricht, Stefan Senk, Hosein K. Nazari +4
Robust, reliable, and deterministic networks are essential for a variety of applications. In order to provide guaranteed communication network services, Time-Sensitive Networking (…
Symbolic Recovery of Differential Equations: The Identifiability Problem
Philipp Scholl, Aras Bacho, Holger Boche +1
Symbolic recovery of differential equations is the ambitious attempt at automating the derivation of governing equations with the use of machine learning techniques. In contrast to…
Convolutional Neural Networks Quantization with Attention
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
It has been proven that, compared to using 32-bit floating-point numbers in the training phase, Deep Convolutional Neural Networks (DCNNs) can operate with low precision during inf…
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir, Isabel Funke, Stefanie Speidel
Batch Normalization's (BN) unique property of depending on other samples in a batch is known to cause problems in several tasks, including sequence modeling. Yet, BN-related issues…
Understanding Person Identification through Gait
Simon Hanisch, Evelyn Muschter, Admantini Hatzipanayioti +2
Gait recognition is the process of identifying humans from their bipedal locomotion such as walking or running. As such, gait data is privacy sensitive information and should be an…