Matthew B. Blaschko

SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model

NAB: Neural Adaptive Binning for Sparse-View CT reconstruction

CrossCheck: A Vision-Language Conflict Detection Benchmark

CARE: Confidence-aware Ratio Estimation for Medical Biomarkers

Balancing Multimodal Training Through Game-Theoretic Regularization

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

How big does your neural network have to be?: A Scaling Law Study in Multi-Spectral Remote Sensing