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- Design of Attack-Resilient Load Frequency Control for Hybrid Wind–Diesel Power Systems Under Hybrid Cyber Attacks
- A Movie Rating Prediction Method Based on Structured Prior Integration and Target-Aware User Interest with Ridge-Based Calibration
- SAG-RS: Trajectory-Aware Probability Stacking with Contextual-Bandit Reliability Gating for ICD-Audited Diabetes Phenotype Identification in MIMIC-IV
- Integration of Variational Methods and Deep Learning for Image Processing: A Task-Oriented Review
- Healthy Participant Versus Patient Selection for Clinical Pharmacology Studies in Small-Molecule Oncology Drug Development.
- Invertible Graph Aggregation Can Increase ReLU Readout Width
- Partial Invariance for Classification under Structural Causal Models
- A General Approach for Assessing Sensitivity to Violations of Causal Assumptions
- Empirical rather than simulated spectral band adjustment of MODIS to Sentinel-3 OLCI for European vegetation monitoring
- Eunoia: Area-Proportional Euler and Venn Diagrams in Rust, Julia, Python, R, and JavaScript
- A multivariate unsupervised lognormal-GPD mixture for dependent losses
- Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
- Large Geometry Models Are Priors For Fast Physics Pretraining
- Does Calibration Pick the Right Model? Likelihood Evidence from Income Risk
- The precision of fractional factorial designs under randomization
- Direct Knowledge Transfer for Offline Q-Learning
- Watch Your Step: Adam's Margin Maximization Bias Depends on the Learning Rate Schedule
- Common random number simulation as the optimal coordinatewise coupling for iterated random functions
- Searching for related contributors to a DNA mixture using single cell analysis
- Graph-Based Testing of Conditional Mean Independence with Applications to Large Language Model Evaluation
- On Sequential Entropic Optimal Transport Filter and its Multilevel Variants
- Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
- Near-Optimal √K-Regret for Online Learning in Uninformed Markov Games
- Sharp Generalization for Nonparametric Regression in Interpolation Space by Shallow Over-Parameterized Neural Networks with Channel Attention
- Surrogate Losses for Fairness-Aware Classification: Fisher Consistency and Calibration