25 citations
6 papers
Transformer models as an efficient replacement for statistical test suites to evaluate the quality of random numbers
Rishabh Goel, YiZi Xiao, Ramin Ramezani
Random numbers are incredibly important in a variety of fields, and the need for their validation remains important for safety. A Quantum Random Number Generator (QRNG) can theoret…
Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings
Henry Cousins, Taryn Hall, Yinglong Guo +4
Gene set analysis methods rely on knowledge-based representations of genetic interactions in the form of both gene set collections and protein-protein interaction (PPI) networks. E…
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
James Mou, Jun Li
Inspired by the progress of the End-to-End approach [1], this paper systematically studies the effects of Number of Filters of convolutional layers on the model prediction accuracy…
EASTER: Efficient and Scalable Text Recognizer
Kartik Chaudhary, Raghav Bali
Recent progress in deep learning has led to the development of Optical Character Recognition (OCR) systems which perform remarkably well. Most research has been around recurrent ne…
A Simple and Interpretable Predictive Model for Healthcare
Subhadip Maji, Raghav Bali, Sree Harsha Ankem +1
Deep Learning based models are currently dominating most state-of-the-art solutions for disease prediction. Existing works employ RNNs along with multiple levels of attention mecha…
Characterizing the Uncertainty in Cluster Magnetic Fields derived from Rotation Measures
Andrew Johnson, Lawrence Rudnick, Thomas Jones +2
Magnetic fields play vital roles in intracluster media (ICMs), but estimating their strengths and distributions from observations is a major challenge. Faraday rotation measures (R…