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- Quantum error-correcting codes from aperiodic monotiles: the Hat and the Spectre
- One Shot, Twenty-One Balls: A Computer-Assisted Proof of a Single-Stroke Total Clearance in an Idealized Model of Snooker
- Co-sufficient weighting: leveraging sparsity for more powerful variable selection in the linear model
- Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
- CausalWAM: Learning the Causes of Actions in World Action Models
- Zero Crossings on the Accuracy-Smoothness Frontier: Maximal Monotone and Minimal Inflection Non Stationary Predictors
- WASABI: Wasserstein Sampling via Bridge Interpolants
- Chronos-2: A foundation model for multivariate time series forecasting
- A Semiparametric Model Approach to Data Integration under Missing Not at Random
- Parametric inference for the average hazard approach in time-to-event analysis with sparse risk sets
- Unifying Data-Adaptive Longitudinal Treatment-Effect Subgroup Discovery and Pretreatment Membership Prediction
- Observation-Specific Uncertainty Modeling for Latent-Variable Regression in High-Dimensional Analytical Data
- Functional-Specific Information Borrowing under Limited Overlap
- Unidentified prediction-risk rankings under spatial sampling with fixed inclusion probabilities
- From fleet trajectories to single-cell promises: hierarchically weighted conformal prediction for battery SOH monitoring
- Stable and efficient covariance estimation for sample L-moments using Hájek projections
- PDE-Residual-Informed Kriging
- Reliability-Weighted Direct Preference Optimization: Penalized Weights for Robust Preference Learning
- Advancing Specific Local Wine Identification through Integration of ICP-MS Mineral Wine Profiles and Machine Learning: A Case Study on Discrimination Among the Ten Beaujolais Crus
- Conditional Neural SDEs for Financial Time-Series Generation
- Identification through Heteroskedasticity in One Lemma: Partial Identification, an Eigenvalue Construction, and a Caution on Rank Tests
- Coarse-Graining Optimal Transport for Rollout-Free Post-Training of Flow Matching
- Instrumental Transfer Learning for Solution Operators
- A Unified Framework for Probability Estimation of Data-Dependent Events
- Source projection for calibrated transfer learning in survival prediction