Image de couverture de livre

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rußwurm, Marc, Klemmer, Konstantin, Rolf, Esther, Zbinden, Robin, Tuia, Devis
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
par: Klemmer, Konstantin, et autres
Publié: (2023)

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
par: Zbinden, Robin, et autres
Publié: (2024)

Measuring the Intrinsic Dimension of Earth Representations
par: Rao, Arjun, et autres
Publié: (2025)

Localized, High-resolution Geographic Representations with Slepian Functions
par: Rao, Arjun, et autres
Publié: (2026)

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
par: Rolf, Esther, et autres
Publié: (2024)

OT on the Map: Quantifying Domain Shifts in Geographic Space
par: Zhang, Haoran, et autres
Publié: (2026)

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
par: Zbinden, Robin, et autres
Publié: (2024)

Multi-Scale and Multimodal Species Distribution Modeling
par: van Tiel, Nina, et autres
Publié: (2024)

What to align in multimodal contrastive learning?
par: Dufumier, Benoit, et autres
Publié: (2024)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
par: Zbinden, Robin, et autres
Publié: (2025)

CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
par: Abdelwahed, Hager Radi, et autres
Publié: (2025)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
par: Lagesse, Adrien, et autres
Publié: (2025)

Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location
par: Kafiabad, Shirin Tavakoli, et autres
Publié: (2025)

Fast Training of Sinusoidal Neural Fields via Scaling Initialization
par: Yeom, Taesun, et autres
Publié: (2024)

Artificial Geographically Weighted Neural Network: A Novel Framework for Spatial Analysis with Geographically Weighted Layers
par: Cao, Jianfei, et autres
Publié: (2025)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
par: Harit, Anoushka, et autres
Publié: (2025)

Group Representational Position Encoding
par: Zhang, Yifan, et autres
Publié: (2025)

Encoding Temporal Statistical-space Priors via Augmented Representation
par: Choi, Insu, et autres
Publié: (2024)

Trajectory Encoding Temporal Graph Networks
par: Xiong, Jiafeng, et autres
Publié: (2025)

Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
par: Chen, Guanyu, et autres
Publié: (2026)

No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
par: Cai, Daniel, et autres
Publié: (2025)

Advancing Spatiotemporal Prediction using Artificial Intelligence: Extending the Framework of Geographically and Temporally Weighted Neural Network (GTWNN) for Differing Geographical and Temporal Contexts
par: Fisk, Nicholas Robert, et autres
Publié: (2025)

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
par: Liu, Guangyi, et autres
Publié: (2024)

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
par: Luo, Renqiang, et autres
Publié: (2024)

Encoding Agent Trajectories as Representations with Sequence Transformers
par: Tsiligkaridis, Athanasios, et autres
Publié: (2024)

Cross-Modal Learning of Housing Quality in Amsterdam
par: Levering, Alex, et autres
Publié: (2024)

Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation
par: Zhong, Yisheng, et autres
Publié: (2026)

Low-Rank Tensor Decompositions for the Theory of Neural Networks
par: Borsoi, Ricardo, et autres
Publié: (2025)

Learning Representations of Instruments for Partial Identification of Treatment Effects
par: Schweisthal, Jonas, et autres
Publié: (2024)

Spherical Tree-Sliced Wasserstein Distance
par: Tran, Viet-Hoang, et autres
Publié: (2025)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
par: Wei, Zhao, et autres
Publié: (2025)

Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
par: Alvarez-Gonzalez, Nurudin, et autres
Publié: (2023)

Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents
par: Gordon, Lucia, et autres
Publié: (2024)

Back to the Drawing Board for Fair Representation Learning
par: Pouget, Angéline, et autres
Publié: (2024)

Equivariant Spherical Transformer for Efficient Molecular Modeling
par: An, Junyi, et autres
Publié: (2025)

Measuring Orthogonality in Representations of Generative Models
par: Geyer, Robin C., et autres
Publié: (2024)

Learning Graph Node Embeddings by Smooth Pair Sampling
par: Kutzkov, Konstantin
Publié: (2025)

Algebraic Positional Encodings
par: Kogkalidis, Konstantinos, et autres
Publié: (2023)

Subjective Logic Encodings
par: Vasilakes, Jake, et autres
Publié: (2025)

Symmetry in Neural Network Parameter Spaces
par: Zhao, Bo, et autres
Publié: (2025)