Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems. - Moritz B. Milde; Alexander Dietmüller; Hermann Blum; Giacomo Indiveri; Yulia Sandamirskaya (ISCAS, 2017)

A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor. - Hermann Blum; Alexander Dietmüller; Moritz B. Milde; Jörg Conradt; Giacomo Indiveri; Yulia Sandamirskaya (Robotics: Science and Systems, 2017)

Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System. - Moritz B. Milde; Hermann Blum; Alexander Dietmüller; Dora Sumislawska; Jörg Conradt; Giacomo Indiveri; Yulia Sandamirskaya (Frontiers Neurorobotics, 2017)

pForest: In-Network Inference with Random Forests. - Coralie Busse-Grawitz; Roland Meier; Alexander Dietmüller; Tobias Bühler; Laurent Vanbever (CoRR, 2019)

P2GO: P4 Profile-Guided Optimizations. - Patrick Wintermeyer; Maria Apostolaki; Alexander Dietmüller; Laurent Vanbever (HotNets, 2020)

SP-PIFO: Approximating Push-In First-Out Behaviors using Strict-Priority Queues. - Albert Gran Alcoz; Alexander Dietmüller; Laurent Vanbever (NSDI, 2020)

A new hope for network model generalization. - Alexander Dietmüller; Siddhant Ray; Romain Jacob; Laurent Vanbever (HotNets, 2022)

Poster: Learning distributions to detect anomalies using all the network traffic. - Alexander Dietmüller; Georgia Fragkouli; Laurent Vanbever (SIGCOMM, 2023)

FitNets: An Adaptive Framework to Learn Accurate Traffic Distributions. - Alexander Dietmüller; Albert Gran Alcoz; Laurent Vanbever (CoRR, 2024)

Adaptive Network Traffic Modeling. - Alexander Dietmüller (2024)

On Sample Selection for Continual Learning: A Video Streaming Case Study. - Alexander Dietmüller; Romain Jacob; Laurent Vanbever (Comput. Commun. Rev., 2024)