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TitleStatusHype
Multi-Objective Planning with Contextual Lexicographic Reward Preferences—0
High-Throughput SAT SamplingCode0
Inference in dynamic models for panel data using the moving block bootstrap—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow—0
On the Impact of the Utility in Semivalue-based Data Valuation—0
Tokenization Standards for Linguistic Integrity: Turkish as a Benchmark—0
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated LearningCode0
Experiments in the Linear Convex Order—0
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationCode0
Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests—0
Generative-enhanced optimization for knapsack problems: an industry-relevant study—0
t-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing—0
Automating a Complete Software Test Process Using LLMs: An Automotive Case Study—0
First-ish Order Methods: Hessian-aware Scalings of Gradient Descent—0
Combining Clusters for the Approximate Randomization Test—0
Efficient Randomized Experiments Using Foundation ModelsCode0
Change Point Detection in the Frequency Domain with Statistical Reliability—0
VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation—0
Variance-Adjusted Cosine Distance as Similarity Metric—0
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference—0
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
Language Models Struggle to Achieve a Consistent Temporal Representation of Facts—0
FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning—0
Trustworthy Evaluation of Generative AI Models—0
REG: Rectified Gradient Guidance for Conditional Diffusion Models—0
Conformal Prediction in Hierarchical Classification—0
Prediction-Powered Inference with Imputed Covariates and Nonuniform SamplingCode0
IV Estimation of Heterogeneous Spatial Dynamic Panel Models with Interactive Effects—0
Harnessing Wavefront Curvature and Spatial Correlation in Noncoherent MIMO Communications—0
Temperature-Free Loss Function for Contrastive Learning—0
Using Code Generation to Solve Open Instances of Combinatorial Design ProblemsCode0
MDDM: A Molecular Dynamics Diffusion Model to Predict Particle Self-Assembly—0
Scale-Insensitive Neural Network Significance Tests—0
Benchmarking Quantum Reinforcement LearningCode0
Simple Inference on a Simplex-Valued Weight—0
Feasible LearningCode0
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates—0
Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis—0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands—0
Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift—0
Randomness, exchangeability, and conformal prediction—0
Transductive Conformal Inference for Full Ranking—0
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores—0
Chance-constrained Model Predictive Control for Near Rectilinear Halo Orbit spacecraft rendezvous—0
AlgoPilot: Fully Autonomous Program Synthesis Without Human-Written Programs—0
Back Home: A Machine Learning Approach to Seashell Classification and Ecosystem Restoration—0
ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation—0
CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction—0
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