MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
GitHub

Model-Based Clustering and Variable Selection for Multivariate Count Data

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Scientific Research Publishing

Khan, D. M., Yaqoob, A., Iqbal, N., Wahid, A., Khalil, U., Khan, M. et al. (2019). Variable Selection via SCAD-Penalized Quantile Regression for High-Dimensional Count Data ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
GitHub

Python Bindings for ORCA

This package implements python bindings for the ORbit Counting Algorithm. The original source code was modified to avoid memory leaks upon repeated function calls and allow for parallel orbit counting ...
IEEE

A Variable Frequency Technique for EMI and Efficiency Improvements in High-Level Count Flying Capacitor Multilevel Converters

Abstract: This work proposes a variable switching frequency scheme for a flying capacitor multilevel (FCML) converter in dc-ac operation to better utilize the output inductor for its rated ...