GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
Fuente:
arXiv
Saved in:
| Main Authors: | An, Bang, Zhou, Xun, Zhou, Zirui, Ragodos, Ronilo, Xu, Zenglin, Luo, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Model Explanation to Data Misinterpretation: A Cautionary Analysis of Post Hoc Explainers in Business Research
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
PHGNet: Prototype-Guided Hypergraph Construction for Heterogeneous Spatiotemporal Forecasting
by: Gu, Ruiwen, et al.
Published: (2026)
by: Gu, Ruiwen, et al.
Published: (2026)
Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
by: Zhou, Wei, et al.
Published: (2026)
by: Zhou, Wei, et al.
Published: (2026)
GeoPro-VO: Dynamic Obstacle Avoidance with Geometric Projector Based on Velocity Obstacle
by: Huang, Jihao, et al.
Published: (2024)
by: Huang, Jihao, et al.
Published: (2024)
Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)
by: Wei, Bowen, et al.
Published: (2024)
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
by: Wen, Ximing
Published: (2024)
by: Wen, Ximing
Published: (2024)
EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models
by: Yazdani, Milad, et al.
Published: (2025)
by: Yazdani, Milad, et al.
Published: (2025)
Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
by: Cascione, Alessio, et al.
Published: (2025)
by: Cascione, Alessio, et al.
Published: (2025)
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors
by: Zhou, Yangze, et al.
Published: (2025)
by: Zhou, Yangze, et al.
Published: (2025)
Implicit Neural Differential Model for Spatiotemporal Dynamics
by: Akhare, Deepak, et al.
Published: (2025)
by: Akhare, Deepak, et al.
Published: (2025)
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)
by: Wu, Beiliang, et al.
Published: (2025)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
by: Zhang, Zhiguo, et al.
Published: (2025)
by: Zhang, Zhiguo, et al.
Published: (2025)
Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
by: Yu, Bo, et al.
Published: (2026)
by: Yu, Bo, et al.
Published: (2026)
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
by: Hu, Bin, et al.
Published: (2023)
by: Hu, Bin, et al.
Published: (2023)
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
by: Zhang, Zhuo, et al.
Published: (2024)
by: Zhang, Zhuo, et al.
Published: (2024)
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
by: Zhou, Pei, et al.
Published: (2025)
by: Zhou, Pei, et al.
Published: (2025)
DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops
by: Deng, Pengcheng, et al.
Published: (2025)
by: Deng, Pengcheng, et al.
Published: (2025)
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
by: Cai, Zi, et al.
Published: (2025)
by: Cai, Zi, et al.
Published: (2025)
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
by: Niu, Tian, et al.
Published: (2024)
by: Niu, Tian, et al.
Published: (2024)
ClinNet: Evidential Ordinal Regression with Bilateral Asymmetry and Prototype Memory for Knee Osteoarthritis Grading
by: Li, Xiaoyang, et al.
Published: (2026)
by: Li, Xiaoyang, et al.
Published: (2026)
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
by: Hu, Ao, et al.
Published: (2024)
by: Hu, Ao, et al.
Published: (2024)
GeoWorld-VLM: Geometry from World Models for Vision-Language Models
by: Gu, Renjie, et al.
Published: (2026)
by: Gu, Renjie, et al.
Published: (2026)
MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
by: Akbari, Parand, et al.
Published: (2022)
by: Akbari, Parand, et al.
Published: (2022)
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
by: Wen, Ximing, et al.
Published: (2024)
by: Wen, Ximing, et al.
Published: (2024)
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)
by: Ayoobi, Hamed, et al.
Published: (2023)
Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints
by: Li, Siyu, et al.
Published: (2024)
by: Li, Siyu, et al.
Published: (2024)
USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents
by: Lai, Siqi, et al.
Published: (2025)
by: Lai, Siqi, et al.
Published: (2025)
InverseScope: Scalable Activation Inversion for Interpreting Large Language Models
by: Luo, Yifan, et al.
Published: (2025)
by: Luo, Yifan, et al.
Published: (2025)
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
by: Nareti, Utsav Kumar, et al.
Published: (2025)
by: Nareti, Utsav Kumar, et al.
Published: (2025)
Patronus: Interpretable Diffusion Models with Prototypes
by: Weng, Nina, et al.
Published: (2025)
by: Weng, Nina, et al.
Published: (2025)
FedNoisy: Federated Noisy Label Learning Benchmark
by: Liang, Siqi, et al.
Published: (2023)
by: Liang, Siqi, et al.
Published: (2023)
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
by: Mi, Yuan, et al.
Published: (2024)
by: Mi, Yuan, et al.
Published: (2024)
Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning
by: Debot, David, et al.
Published: (2025)
by: Debot, David, et al.
Published: (2025)
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation
by: Yang, Zhou, et al.
Published: (2025)
by: Yang, Zhou, et al.
Published: (2025)
An Overview of Prototype Formulations for Interpretable Deep Learning
by: Li, Maximilian Xiling, et al.
Published: (2024)
by: Li, Maximilian Xiling, et al.
Published: (2024)
Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
by: Guo, Ping, et al.
Published: (2021)
by: Guo, Ping, et al.
Published: (2021)
Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design
by: Ahmed, Cheikh, et al.
Published: (2026)
by: Ahmed, Cheikh, et al.
Published: (2026)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
by: Song, Xianhao, et al.
Published: (2026)
by: Song, Xianhao, et al.
Published: (2026)
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
by: Yong, Binbin, et al.
Published: (2026)
by: Yong, Binbin, et al.
Published: (2026)
Similar Items
-
From Model Explanation to Data Misinterpretation: A Cautionary Analysis of Post Hoc Explainers in Business Research
by: Wang, Tong, et al.
Published: (2024) -
PHGNet: Prototype-Guided Hypergraph Construction for Heterogeneous Spatiotemporal Forecasting
by: Gu, Ruiwen, et al.
Published: (2026) -
Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
by: Zhou, Wei, et al.
Published: (2026) -
GeoPro-VO: Dynamic Obstacle Avoidance with Geometric Projector Based on Velocity Obstacle
by: Huang, Jihao, et al.
Published: (2024) -
Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)