Summary of Self-regulating Random Walks For Resilient Decentralized Learning on Graphs, by Maximilian Egger et al.
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphsby Maximilian Egger, Rawad Bitar, Ghadir Ayache,…
Self-Regulating Random Walks for Resilient Decentralized Learning on Graphsby Maximilian Egger, Rawad Bitar, Ghadir Ayache,…
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networksby Federico Lozano-Cuadra, Mathias…
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking controlby Yifei…
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variablesby Francisco Caldas,…
psifx – Psychological and Social Interactions Feature Extraction Packageby Guillaume Rochette, Matthew J. Vowels, Mathieu…
Granger Causality in Extremesby Juraj Bodik, Olivier C. PascheFirst submitted to arxiv on: 12 Jul…
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detectionby Chengyuan Deng, Zhengzhang Chen,…
Sensor-Aware Classifiers for Energy-Efficient Time Series Applications on IoT Devicesby Dina Hussein, Lubah Nelson, Ganapati…
BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registrationby Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Kostas DaniilidisFirst submitted…
Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systemsby Lorenzo Cassano, Jacopo…