Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime ImagingIsmail ErbasVikas Pandeyet al.2024NeurIPS 2024
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical ConsiderationsSatyananda KashyapNiharika DSouzaet al.2024NeurIPS 2024
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous AcceleratorsHadjer BenmezianeCorey Liam Lammieet al.2024NeurIPS 2024
MS-CLIP: Multi-spectral Vision Language Learning for Earth ObservationJohannes JakubikBenedikt Blumenstielet al.2024AGU 2024
Uncertainty quantification of aboveground biomass predictions produced by fine-tuned geospatial foundation modelsHarini SrinivasanShraddha Singhet al.2024AGU 2024
Comparison of Geospatial foundation model based mapped burn scars with predicted forest fire susceptible locations using environmental factorsPriyanka ShuklaSina Asuka Klamptet al.2024AGU 2024
Predicting NDVI from SAR images toward Above Ground Biomass EstimationDaiki KimuraTatsuya Ishikawaet al.2024AGU 2024
Biodiversity and forest fragmentation assessment based on aboveground biomass prediction produced by fine-tuned geospatial foundation modelsLevente KleinGurkanwar Singhet al.2024AGU 2024