Blind Spot Illumination in LLMs through Data Valuation and Synthetic Sample Generation

Reliable Offine Policy Evaluation for Individualized Mechanical Ventilation

Logarithmic law of large random correlation matrices

Solar Sail Trajectory Design for a Martian Moon Sample-return Mission

Uncertainty-Aware Reinforcement Learning for Flight Control: Mastering the Mystery of Flight

Designing Software for User-Friendly Class-S Power Quality Analyzer based on Raspberry Pi

On the connection between uniqueness from samples and stability in Gabor phase retrieval

The effective velocity model: An improved approach to velocity sampling in actuator line models

Kernel-based identification using Lebesgue-sampled data

Quantification of surface grinding during the sample preparation of cementitious materials by optical profilometry

Sparse & Interpretable Graph Attention Networks

Animating Still Images: Folding Texture Design and Synthesis

Scheduling of Periodic Event-Triggered Control to balance Control Performance and Average Inter-Sample Times

De-aliasing of Doppler Spectrum for a Fast Scanning Phased Array Radar

Finding Representative Sampling Subsets on Graphs: Leveraging Submodularity

Comparison of the Geomechanical behavior of sandstones from different reservoirs in northern Europe and North Sea

The effectiveness of subspace mapping techniques adapted to unlabeled samples from a global domain in mitigating sample selection bias

Evaluating the Effectiveness of Importance Weighting Techniques in Mitigating Sample Selection Bias

How effective are minimax methods in mitigating sample selection bias?

Estimating normalizing constants using stochastic simulation