Cover Image

GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Shiyuan, Qiu, Chonghao, Yu, Runlong, Xie, Yiqun, Jia, Xiaowei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework
by: Luo, Shiyuan, et al.
Published: (2025)

Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
by: Yu, Runlong, et al.
Published: (2024)

A Survey of Foundation Models for Environmental Science
by: Yu, Runlong, et al.
Published: (2025)

Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
by: Yu, Runlong, et al.
Published: (2025)

Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales
by: Luo, Shiyuan, et al.
Published: (2025)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
by: Luo, Shiyuan, et al.
Published: (2023)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers
by: Yu, Runlong, et al.
Published: (2025)

Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions
by: Sun, Yiming, et al.
Published: (2026)

Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
by: Yu, Runlong, et al.
Published: (2024)

Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators
by: Dai, Yilong, et al.
Published: (2026)

Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
by: Sun, Yiming, et al.
Published: (2026)

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing
by: Dai, Yilong, et al.
Published: (2026)

Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling
by: Cheng, Qi, et al.
Published: (2025)

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
by: Liu, Yixin, et al.
Published: (2026)

RAG for Geoscience: What We Expect, Gaps and Opportunities
by: Yu, Runlong, et al.
Published: (2025)

Zero Shot Health Trajectory Prediction Using Transformer
by: Renc, Pawel, et al.
Published: (2024)

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI
by: Sun, Yiming, et al.
Published: (2025)

AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems
by: Cheng, Qi, et al.
Published: (2026)

CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction
by: Dong, Rongchao, et al.
Published: (2026)

Multi-Scale Graph Learning for Anti-Sparse Downscaling
by: Fan, Yingda, et al.
Published: (2025)

FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
by: Dai, Yilong, et al.
Published: (2026)

Towards Zero-Shot Task-Generalizable Learning on fMRI
by: Wang, Jiyao, et al.
Published: (2025)

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
by: He, Erhu, et al.
Published: (2024)

Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games
by: Anwar, Usman, et al.
Published: (2024)

Zero-Shot Instruction Following in RL via Structured LTL Representations
by: Giuri, Mattia, et al.
Published: (2025)

Zero-Shot Instruction Following in RL via Structured LTL Representations
by: Jackermeier, Mathias, et al.
Published: (2026)

A Generalization Theory for Zero-Shot Prediction
by: Mehta, Ronak, et al.
Published: (2025)

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
by: Peng, Pei, et al.
Published: (2025)

Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
by: Ren, Kevin, et al.
Published: (2025)

Few-Shot Design Optimization by Exploiting Auxiliary Information
by: Mani, Arjun, et al.
Published: (2026)

Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation
by: Xie, Runlong, et al.
Published: (2026)

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
by: Jiang, Xinke, et al.
Published: (2023)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
by: Tayal, Kshitij, et al.
Published: (2024)

Unregularized Linear Convergence in Zero-Sum Game from Preference Feedback
by: Chen, Shulun, et al.
Published: (2025)

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
by: Bagatella, Marco, et al.
Published: (2025)

Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
by: Slavutsky, Yuli, et al.
Published: (2023)

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
by: Tan, Zexi, et al.
Published: (2025)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness
by: Chen, Weiye, et al.
Published: (2024)

Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables
by: Imaizumi, Masaaki, et al.
Published: (2026)

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
by: Huang, Jiafu, et al.
Published: (2026)