Estimating Individualized Treatment Effects in Acute Ischemic Stroke with Causal Transformation Models (TRAM-DAG): A Multi-Centre Observational Study with External RCT Validation

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Complete version Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates Feature Learning Dynamics in Infinite-Depth Neural Networks Statistically-Guided Meta-Learning for Cross-Deployment Activity Recognition in Distributed Fiber-Optic Sensing Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions Adversarial Robustness in One-Stage Learning-to-Defer Neural ARFIMA model for forecasting BRIC exchange rates with long memory Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling BOOST: A Data-Driven Framework for the Automated Joint Selection of Kernel and Acquisition Functions in Bayesian Optimization Random Walk Learning and the Pac-Man Attack Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models GradPower: Powering Gradients for Faster Language Model Pre-Training CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots Post-Training Augmentation Invariance Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies Program Evaluation with Remotely Sensed Outcomes Dataset-Driven Channel Masks in Transformers for Multivariate Time Series Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees

[Submitted on 10 Jun 2026 (v1), last revised 15 Jun 2026 (this v · 2026-06-12 · via stat updates on arXiv.org

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