activity
20082025
most citedNonparametric statistics on manifolds with applications to shape spaces

67 citations · 75 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2025

State-of-the-art Small Language Coder Model: Mify-Coder

Abhinav Parmar, Abhisek Panigrahi, Abhishek Kumar Dwivedi +93

We present Mify-Coder, a 2.5B-parameter code model trained on 4.2T tokens using a compute-optimal strategy built on the Mify-2.5B foundation model. Mify-Coder achieves comparable a…

cs.CR2014★ 2 cited

VHDL Modeling of Intrusion Detection & Prevention System (IDPS) A Neural Network Approach

Tanusree Chatterjee, Abhishek Bhattacharya

The rapid development and expansion of World Wide Web and network systems have changed the computing world in the last decade and also equipped the intruders and hackers with new f…

cs.CV2014★ 1 cited

An Estimation Method of Measuring Image Quality for Compressed Images of Human Face

Abhishek Bhattacharya, Tanusree Chatterjee

Nowadays digital image compression and decompression techniques are very much important. So our aim is to calculate the quality of face and other regions of the compressed image wi…

stat.ME2013

Nonparametric Bayes Classification via Learning of Affine Subspaces

Abhishek Bhattacharya

The goal of this presentation is to build an efficient non-parametric Bayes classifier in the presence of large numbers of predictors. When analyzing such data, parametric models a…

math.ST2012★ 3 cited

Resampling in Time Series Models

Abhishek Bhattacharya, Arup Bose

This project revolves around studying estimators for parameters in different Time Series models and studying their assymptotic properties. We introduce various bootstrap techniques…

stat.ME2011★ 2 cited

Density Estimation and Classification via Bayesian Nonparametric Learning of Affine Subspaces

Abhishek Bhattacharya, Garritt Page, David Dunson

It is now practically the norm for data to be very high dimensional in areas such as genetics, machine vision, image analysis and many others. When analyzing such data, parametric…