4 papers · 1 filter
Structured Bayesian Modeling of Dynamic Receptive1 Fields in Salamander Retinal Ganglion Cells
Alokesh Manna
Neurons in the visual system are selective for specific spatial and temporal stimulus features, described by their \emph{receptive field}. Estimating one means a coefficient per pi…
Bigraphical Matérn-Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains
Debangan Dey, Alokesh Manna, Christopher J. Geoga
Large spatial data sets now record many correlated variables at many thousands of locations, often on domains where Euclidean distance misrepresents proximity. The central difficul…
How Large Language Models Get Stuck: Early structure with persistent errors
Alokesh Manna, William Snyder, Whitney Tabor
Linguistic insights may help make Large Language Model (LLM) training more efficient. We trained Meta's OPT model on the 100M word BabyLM dataset, and evaluated it on the BLiMP ben…
Scalable spatial point process models for forensic footwear analysis
Alokesh Manna, Neil Spencer, Dipak K. Dey
Shoe print evidence recovered from crime scenes plays a key role in forensic investigations. By examining shoe prints, investigators can determine details of the footwear worn by s…