35 citations · 69 across the 5 of their papers we have counts for
6 papers
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Through their transfer learning abilities, highly-parameterized large pre-trained language models have dominated the NLP landscape for a multitude of downstream language tasks. Tho…
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea +1
Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these n…
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
Nikhil Muralidhar, Abdullah Zubair, Nathanael Weidler +2
The availability of wide-ranging third-party intellectual property (3PIP) cores enables integrated circuit (IC) designers to focus on designing high-level features in ASICs/SoCs. T…
Using AntiPatterns to avoid MLOps Mistakes
Nikhil Muralidhar, Sathappah Muthiah, Patrick Butler +8
We describe lessons learned from developing and deploying machine learning models at scale across the enterprise in a range of financial analytics applications. These lessons are p…
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari +3
Forecasting influenza in a timely manner aids health organizations and policymakers in adequate preparation and decision making. However, effective influenza forecasting still rema…
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
Nikhil Muralidhar, Jie Bu, Ze Cao +4
Physics-based simulations are often used to model and understand complex physical systems and processes in domains like fluid dynamics. Such simulations, although used frequently,…