3 papers
stat.CO2023
SpreadNUTS -- Moderate Dynamic Extension of Paths for No-U-Turn Sampling & Partitioning Visited Regions
Fareed Sheriff
Markov chain Monte Carlo (MCMC) methods have existed for a long time and the field is well-explored. The purpose of MCMC methods is to approximate a distribution through repeated s…
cs.LG2023
PartitionVAE -- a human-interpretable VAE
Fareed Sheriff, Sameer Pai
VAEs, or variational autoencoders, are autoencoders that explicitly learn the distribution of the input image space rather than assuming no prior information about the distribution…
cs.CE2021
ELMOPP: An Application of Graph Theory and Machine Learning to Traffic Light Coordination
Fareed Sheriff
Traffic light management is a broad subject with various papers published that put forth algorithms to efficiently manage traffic using traffic lights. Two such algorithms are the…