Spatial Implicit Neural Representations for Global-Scale Species Mapping

5 June 2023

Papers citing "Spatial Implicit Neural Representations for Global-Scale Species Mapping"

7 / 7 papers shown

Title
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks Johannes Dollinger Damien Robert Elena Plekhanova Lukas Drees Jan Dirk Wegner AI4CE 32 0 0 07 Apr 2025
Heterogeneous graph neural networks for species distribution modeling Lauren Harrell Christine Kaeser-Chen Burcu Karagol Ayan Keith Anderson Michelangelo Conserva Elise Kleeman Maxim Neumann Matt Overlan Melissa Chapman Drew Purves 49 0 0 14 Mar 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings A. Dhakal S. Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 48 0 0 27 Feb 2025
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu Qian Cao Zhangyu Wang Zeping Liu Yanlin Qi ... Stefano Ermon T. Ganu A. Nambi Ni Lao Gengchen Mai 61 15 0 21 Jun 2024
Bird Distribution Modelling using Remote Sensing and Citizen Science data Mélisande Teng Amna Elmustafa Benjamin Akera Hugo Larochelle David Rolnick 61 8 0 01 May 2023
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 80 120 0 16 Oct 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016