Quantum Machine Learning for Remote Sensing: Exploring potential and challenges

13 November 2023

Papers citing "Quantum Machine Learning for Remote Sensing: Exploring potential and challenges"

23 / 23 papers shown

Title
From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction Mikolaj Czerkawski Alistair Francis 59 9 0 27 Sep 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 68 33 0 11 Apr 2023
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines Artur Miroszewski Jakub Mielczarek G. Czelusta Filip Szczepanek B. Grabowski Bertrand Le Saux J. Nalepa 49 17 0 16 Feb 2023
Quantum algorithms applied to satellite mission planning for Earth observation S. Rainjonneau Igor Tokarev S. Iudin Saaketh Rayaprolu Karan Pinto ... Miras Koblan Egor Barashov Mohammad Kordzanganeh M. Pflitsch A. Melnikov 127 38 0 14 Feb 2023
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 50 86 0 23 Aug 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 251 30,108 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 383 15,454 0 20 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 471 1,630 0 10 Nov 2021
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification A. Sebastianelli Daniela A. Zaidenberg D. Spiller Bertrand Le Saux Silvia Liberata Ullo 37 93 0 20 Sep 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 387 4,937 0 24 Feb 2021
Effect of barren plateaus on gradient-free optimization A. Arrasmith M. Cerezo Piotr Czarnik L. Cincio Patrick J. Coles 71 212 0 24 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 543 18,008 0 19 Jun 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 108 1,449 0 19 Dec 2019
Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions Ewin Tang 49 109 0 31 Oct 2018
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks Rodrigo Caye Daudt Bertrand Le Saux Alexandre Boulch Y. Gousseau 49 364 0 19 Oct 2018
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre GAN 41 45 0 07 Jun 2018
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 66 1,823 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 64 1,816 0 29 Mar 2018
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 81 2,104 0 13 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 279 6,925 0 12 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 437 16,940 0 20 Dec 2013