Calibrated Surprise: Measuring Creative Quality with Info Theory
Explore how calibrated surprise and information theory quantify creative quality in writing, blending author intent, reader expectation, and logic.
Multi-Stage Bi-Atrial Segmentation from 3D LGE MRI Using V-Net
Enhance cardiac imaging with a multi-stage bi-atrial segmentation framework from 3D LGE MRI using advanced V-Net deep learning models.
TimeMM: Dynamic Multimodal Recommendation with Spectral Filtering
Discover TimeMM, a novel framework using spectral filtering to enhance dynamic multimodal recommendations by adapting to evolving user preferences.
MetaSR: Adaptive Metadata for Efficient Super-Resolution
Discover MetaSR, a content-adaptive framework boosting generative super-resolution with efficient metadata orchestration and improved image quality.
StratMem-Bench: Evaluating Strategic Memory in Virtual Characters
Discover StratMem-Bench, a benchmark assessing strategic memory use in virtual character conversations beyond simple factual recall.