Selected Trends in Artificial Intelligence for Space Applications

Selected Trends in Artificial Intelligence for Space Applications

10 December 2022

Alexander Zoechbauer

Papers citing "Selected Trends in Artificial Intelligence for Space Applications"

10 / 10 papers shown

Title
Energy efficiency analysis of Spiking Neural Networks for space applications Paolo Lunghi Stefano Silvestrini Dominik Dold Gabriele Meoni Alexander Hadjiivanov Dario Izzo 22 0 0 16 May 2025
Energy-Aware Federated Learning in Satellite Constellations N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML 32 1 0 23 Sep 2024
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation Kevin Lange Federico Fontana Francesco Rossi Mattia Varile Giovanni Apruzzese 26 0 0 04 May 2024
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis Yuanming Shi Li Zeng Jingyang Zhu Yong Zhou Chunxiao Jiang Khaled B. Letaief 33 12 0 02 Apr 2024
Investigation of the Robustness of Neural Density Fields Jonas Schuhmacher F. Gratl Dario Izzo Pablo Gómez 17 3 0 31 May 2023
Differentiable graph-structured models for inverse design of lattice materials Dominik Dold Derek Aranguren van Egmond AI4CE 21 12 0 11 Apr 2023
Federated Learning in Satellite Constellations Bho Matthiesen N. Razmi Israel Leyva Mayorga Armin Dekorsy P. Popovski FedML 19 43 0 01 Jun 2022
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 56 93 0 11 Sep 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 646 0 21 Apr 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 186 763 0 13 Mar 2020