13 citations · 16 across the 9 of their papers we have counts for
13 papers
Rank-Order N-of-M Codes for Sparse Distributed Memory: Disentangling Representation and Learning Effects in Noise Robustness Against Contemporary Neuromorphic Architectures
Joy Bose
Large language models remain limited as continual learning systems, motivating renewed interest in Sparse Distributed Memory (SDM) as an explicit online episodic memory. CALM (Nech…
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
Shweta Ramesh, Joy Bose, Hamender Singh +5
Code review is one of the primary means of assuring the quality of released software along with testing and static analysis. However, code review requires experienced developers wh…
A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
Subhadip Bandyopadhyay, Joy Bose, Sujoy Roy Chowdhury
Data Drift is the phenomenon where the generating model behind the data changes over time. Due to data drift, any model built on the past training data becomes less relevant and in…
Static Program Analysis Guided LLM Based Unit Test Generation
Sujoy Roychowdhury, Giriprasad Sridhara, A K Raghavan +5
We describe a novel approach to automating unit test generation for Java methods using large language models (LLMs). Existing LLM-based approaches rely on sample usage(s) of the me…
Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning
Sathiyanarayanan Sampath, Joy Bose
The SEIR model is a widely used epidemiological model used to predict the rise in infections. This model has been widely used in different countries to predict the number of Covid-…
Sparse Distributed Memory using Spiking Neural Networks on Nengo
Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya +1
We present a Spiking Neural Network (SNN) based Sparse Distributed Memory (SDM) implemented on the Nengo framework. We have based our work on previous work by Furber et al, 2004, i…