Cover Image

Contract-Governed Training for Earth Observation: Observed Service Agreement Graphs and Coverage-Accuracy Trade-offs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Du, Wenzhang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T05, 86A32, 62P12 I.2.6; I.5.1; I.4.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025)

Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)

Divergence-Based Similarity Function for Multi-View Contrastive Learning
by: Jeon, Jae Hyoung, et al.
Published: (2025)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)

Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025)

An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures
by: Rodríguez-Bocca, Pablo, et al.
Published: (2025)

Hallucinations Live in Variance
by: Flouro, Aaron R., et al.
Published: (2026)

Systematic Absence of Low-Confidence Nighttime Fire Detections in VIIRS Active Fire Product: Evidence of Undocumented Algorithmic Filtering
by: Dhage, Rohit Rajendra
Published: (2025)

City-Conditioned Memory for Multi-City Traffic and Mobility Forecasting
by: Du, Wenzhang
Published: (2025)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)

Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
by: Manoj, Midhun
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)

From Point to probabilistic gradient boosting for claim frequency and severity prediction
by: Chevalier, Dominik, et al.
Published: (2024)

Noise-Adaptive Quantum Circuit Mapping for Multi-Chip NISQ Systems via Deep Reinforcement Learning
by: Zeynali, Atiye, et al.
Published: (2025)

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
by: Tirumala, Aditya Puttaparthi
Published: (2025)

Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks
by: Du, Wenzhang
Published: (2025)

Predictive Modeling of Maritime Radar Data Using Transformer Architecture
by: Qesaraku, Bjorna, et al.
Published: (2025)

A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
by: Moradi, Mehrdad, et al.
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models
by: Moradi, Mehrdad, et al.
Published: (2025)

Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
by: Liu, Yichen
Published: (2025)

FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land Cover Identification Models
by: Hong, Xin, et al.
Published: (2025)

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
by: Sajjadi, Arash, et al.
Published: (2025)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
by: Redhead, Benjamin R., et al.
Published: (2026)

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning
by: Mishra, Pankaj K, et al.
Published: (2025)

Artificial intelligence and downscaling global climate model future projections
by: Benestad, Rasmus E.
Published: (2026)

Rethinking Visual Intelligence: Insights from Video Pretraining
by: Acuaviva, Pablo, et al.
Published: (2025)

Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
by: David, Daniel
Published: (2025)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning
by: Agrahari, Gyaneshwar, et al.
Published: (2025)

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
by: Erden, Caner, et al.
Published: (2025)

Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions
by: King, Juan C., et al.
Published: (2025)

Accurate typhoon intensity forecasts using a non-iterative spatiotemporal transformer model
by: Qu, Hongyu, et al.
Published: (2025)