Fabien Geyer - RankMe

62 papers A* 3A 2B 10C 4Journal 21Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimizing TTL cache hierarchies under random delays: Direct methods and learning on graph transformations. Comput. Networks Karim S. Elsayed, Fabien Geyer, Amr Rizk
2026	J	`jnl`	Reliable and Private Anonymous Routing for Satellite Constellations. CoRR Nilesh Vyas, Fabien Geyer, Svetoslav Duhovnikov
2025	B	`conf`	Efficient Gradient-Based Network Calculus for Scalable Synthesis of Network Configurations. RTCSA Fabien Geyer, Steffen Bondorf
2025	C	`conf`	Evaluation of Graph Neural Networks in Airborne Networks. LANMAN Ali Yilmaz Yildirim, Fabien Geyer, Georg Carle
2025	B	`conf`	Explainable AI for UAV Mobility Management: A Deep Q-Network Approach for Handover Minimization. PIMRC Irshad A. Meer, Bruno Hörmann, Mustafa Özger, Fabien Geyer, Alberto Viseras, Dominic Schupke, Cicek Cavdar
2025	J	`jnl`	Explainable AI for UAV Mobility Management: A Deep Q-Network Approach for Handover Minimization. CoRR Irshad A. Meer, Bruno Hörmann, Mustafa Özger, Fabien Geyer, Alberto Viseras, Dominic Schupke, Cicek Cavdar
2024	J	`jnl`	Efficient and Mathematically Robust Operations for Certified Neural Networks Inference. CoRR Fabien Geyer, Johannes Freitag, Tobias Schulz, Sascha Uhrig
2024	B	`conf`	Utility-Driven Optimization of TTL Cache Hierarchies Under Network Delays. IFIP Networking Karim S. Elsayed, Fabien Geyer, Amr Rizk
2024	J	`jnl`	Utility-driven Optimization of TTL Cache Hierarchies under Network Delays. CoRR Karim Elsayed, Fabien Geyer, Amr Rizk
2023	J	`jnl`	Differentiable Programming & Network Calculus: Configuration Synthesis under Delay Constraints. CoRR Fabien Geyer, Steffen Bondorf
2023	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Network Calculus With Flow Prolongation - A Feedforward FIFO Analysis Enabled by ML. IEEE Trans. Computers Fabien Geyer, Alexander Scheffler, Steffen Bondorf
2023	J	`jnl`	Passive Sensing and Localization in an Aircraft Cabin Using a Wireless Communication Network. CoRR Fabien Geyer, Thomas Multerer, Paulo Mendes, Dominic Schupke
2023	J	`jnl`	RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. J. Netw. Syst. Manag. Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda
2022	A	`conf`	Analyzing real-time video delivery over cellular networks for remote piloting aerial vehicles. IMC Aygün Baltaci, Hendrik Cech, Nitinder Mohan, Fabien Geyer, Vaibhav Bajpai, Jörg Ott, Dominic Schupke
2022	J	`jnl`	Communication Demands and Performance Metrics for Next Generation Aerial Networks. IEEE Commun. Mag. Markus Klügel, Aygün Baltaci, Fabien Geyer, Nunzio Sciammetta, Svetoslav Duhovnikov, Dominic Schupke
2022	—	`conf`	Demo: A Combined Multipath Connectivity and Flight Simulation Framework. DIVANet Aygün Baltaci, Fabien Geyer, Markus Klügel, Dominic Schupke
2022	—	`conf`	End-to-end Multipath Optimization for Reliable Aerial Connectivity. DIVANet Aygün Baltaci, Fabien Geyer, Dominic Schupke, Jörg Ott
2022	J	`jnl`	Network Calculus with Flow Prolongation - A Feedforward FIFO Analysis enabled by ML. CoRR Fabien Geyer, Alexander Scheffler, Steffen Bondorf
2022	A*	`conf`	Network Synthesis under Delay Constraints: The Power of Network Calculus Differentiability. INFOCOM Fabien Geyer, Steffen Bondorf
2022	J	`jnl`	Precise Onboard Aicraft Cabin Localization using UWB and ML. CoRR Fabien Geyer, Dominic Schupke
2022	B	`conf`	Precise Onboard Aircraft Cabin Localization using UWB and ML. GLOBECOM Fabien Geyer, Dominic Schupke
2022	J	`jnl`	RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. CoRR Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda
2021	B	`conf`	Adaptive Batching for Fast Packet Processing in Software Routers using Machine Learning. NetSoft Peter Okelmann, Leonardo Linguaglossa, Fabien Geyer, Paul Emmerich, Georg Carle
2021	A*	`conf`	Experimental UAV Data Traffic Modeling and Network Performance Analysis. INFOCOM Aygün Baltaci, Markus Klügel, Fabien Geyer, Svetoslav Duhovnikov, Vaibhav Bajpai, Jörg Ott, Dominic Schupke
2021	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021	J	`jnl`	Graph-Based Deep Learning for Fast and Tight Network Calculus Analyses. IEEE Trans. Netw. Sci. Eng. Fabien Geyer, Steffen Bondorf
2021	A	`conf`	Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis. RTAS Fabien Geyer, Alexander Scheffler, Steffen Bondorf
2020	C	`conf`	On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. ISCC Fabien Geyer, Steffen Bondorf
2020	B	`conf`	Virtual Cross-Flow Detouring in the Deterministic Network Calculus Analysis. Networking Steffen Bondorf, Fabien Geyer
2019	—	`conf`	Cryptographic Hashing in P4 Data Planes. ANCS Dominik Scholz, Andreas Oeldemann, Fabien Geyer, Sebastian Gallenmüller, Henning Stubbe, Thomas Wild, Andreas Herkersdorf, Georg Carle
2019	J	`jnl`	DTLS Performance - How Expensive is Security? CoRR Sebastian Gallenmüller, Dominik Schöffmann, Dominik Scholz, Fabien Geyer, Georg Carle
2019	J	`jnl`	DeepComNet: Performance evaluation of network topologies using graph-based deep learning. Perform. Evaluation Fabien Geyer
2019	B	`conf`	DeepMPLS: Fast Analysis of MPLS Configurations Using Deep Learning. Networking Fabien Geyer, Stefan Schmid
2019	A*	`conf`	DeepTMA: Predicting Effective Contention Models for Network Calculus using Graph Neural Networks. INFOCOM Fabien Geyer, Steffen Bondorf
2019	—	`conf`	Demonstrating the Cost of Collecting In-Network Measurements for High-Speed VNFs. TMA Leonardo Linguaglossa, Fabien Geyer, Wenqin Shao, Frank Brockners, Georg Carle
2019	—	`ch.`	Deterministic Network Calculus Analysis of Multicast Flows. Systems Modeling: Methodologies and Tools Steffen Bondorf, Fabien Geyer
2019	—	`conf`	On the Learnability of Software Router Performance via CPU Measurements. CoNEXT Companion Charles Shelbourne, Leonardo Linguaglossa, Aldo Lipani, Tianzhu Zhang, Fabien Geyer
2019	J	`jnl`	On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. CoRR Fabien Geyer, Steffen Bondorf
2019	—	`conf`	Performance Perspective on Private Distributed Ledger Technologies for Industrial Networks. NetSys Fabien Geyer, Holger Kinkelin, Hendrik Leppelsack, Stefan Liebald, Dominik Scholz, Georg Carle, Dominic Schupke
2019	J	`jnl`	Reproducible measurements of TCP BBR congestion control. Comput. Commun. Benedikt Jaeger, Dominik Scholz, Daniel Raumer, Fabien Geyer, Georg Carle
2018	—	`conf`	Learning and Generating Distributed Routing Protocols Using Graph-Based Deep Learning. Big-DAMA@SIGCOMM Fabien Geyer, Georg Carle
2018	—	`conf`	The Case for a Network Calculus Heuristic: Using Insights from Data for Tighter Bounds. ITC (2) Fabien Geyer, Georg Carle
2018	B	`conf`	Towards a Deeper Understanding of TCP BBR Congestion Control. Networking Dominik Scholz, Benedikt Jaeger, Lukas Schwaighofer, Daniel Raumer, Fabien Geyer, Georg Carle
2017	—	`conf`	Aircraft network deployment optimization with k-survivability. ANTS Alireza Zamani, Fabien Geyer, Alexandros Elefsiniotis, Anke Schmeink
2017	—	`conf`	Performance Evaluation of Network Topologies using Graph-Based Deep Learning. VALUETOOLS Fabien Geyer
2017	—	`conf`	Self-configuring deterministic network with in-band configuration channel. SDS Peter Heise, Fabien Geyer, Roman Obermaisser
2016	—	`conf`	Generalizing Network Calculus Analysis to Derive Performance Guarantees for Multicast Flows. VALUETOOLS Steffen Bondorf, Fabien Geyer
2016	J	`jnl`	Network engineering for real-time networks: comparison of automotive and aeronautic industries approaches. IEEE Commun. Mag. Fabien Geyer, Georg Carle
2016	C	`conf`	Self-configuring real-time communication network based on OpenFlow. LANMAN Peter Heise, Marc Lasch, Fabien Geyer, Roman Obermaisser
2016	—	`conf`	TSimNet: An Industrial Time Sensitive Networking Simulation Framework Based on OMNeT++. NTMS Peter Heise, Fabien Geyer, Roman Obermaisser
2015	B	`conf`	Deterministic OpenFlow: Performance evaluation of SDN hardware for avionic networks. CNSM Peter Heise, Fabien Geyer, Roman Obermaisser
2015	—	`—`	End-to-End Flow-Level Quality-of-Service Guarantees for Switched Networks. Fabien Geyer
2015	—	`conf`	Multi-objective optimization of aircraft networks for weight, performance and survivability. RNDM@WMNC Fabien Geyer, Alexandros Elefsiniotis, Dominic A. Schupke, Stefan Schneele
2015	—	`conf`	Towards a Deterministic Mixed Criticality High Availability Seamless Redundancy (HSR) Ring. Nets4Cars/Nets4Trains/Nets4Aircraft Peter Heise, Fabien Geyer, Alexandros Elefsiniotis, Roman Obermaisser
2014	—	`conf`	PETFEN: A Performance Evaluation Tool for Flow-Level Network Modeling of Ethernet Networks. VALUETOOLS Fabien Geyer, Stefan Schneele, Georg Carle
2014	—	`conf`	Performance Evaluation of an Ethernet-Based Cabin Network Architecture Supporting a Low-Latency Service. Nets4Cars/Nets4Trains/Nets4Aircraft Fabien Geyer, Stefan Schneele, Wolfgang Fischer
2014	B	`conf`	Towards stochastic flow-level network modeling: Performance evaluation of short TCP flows. LCN Fabien Geyer, Stefan Schneele, Georg Carle
2013	C	`conf`	Evaluation of Audio/Video Bridging forwarding method in an avionics switched ethernet context. ISCC Fabien Geyer, Emanuel Heidinger, Stefan Schneele, Alexander von Bodisco
2013	—	`conf`	Practical performance evaluation of ethernet networks with flow-level network modeling. VALUETOOLS Fabien Geyer, Stefan Schneele, Georg Carle
2013	—	`conf`	RENETO, a realistic network traffic generator for OMNeT++/INET. SimuTools Fabien Geyer, Stefan Schneele, Georg Carle
2012	—	`conf`	A performance study of Audio Video Bridging in aeronautic Ethernet networks. SIES Emanuel Heidinger, Fabien Geyer, Stefan Schneele, Michael Paulitsch