Search Results for author:
Found 5 papers, 1 papers with code
Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
In this study, we identify the need for an interpretable, quantitative score of the repeatability, or consistency, of image generation in diffusion models.
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Instruction-following language models demand robust methodologies for information retrieval to augment instructions for question-answering applications.
InfiniteForm: A synthetic, minimal bias dataset for fitness applications
The growing popularity of remote fitness has increased the demand for highly accurate computer vision models that track human poses.
cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data
Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day (typically values are recorded every 5 minutes).
Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex
This decoding problem is particularly challenging due to the complexity of neural responses in the auditory cortex and the presence of confounding signals in awake animals.
