3 citations · 3 across the 3 of their papers we have counts for
3 papers
Beyond the Vacuum: Combinatorial Strategy Selection for Competitor-Aware Generative Engine Optimization
Vaibhav Sourirajan, Yao Zhang, Himanshu Kumar +3
Generative Engine Optimization (GEO) has emerged as a novel paradigm for transforming content to increase visibility in Large Language Model (LLM) responses. Traditional GEO method…
Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models
Judah Goldfeder, Shreyes Kaliyur, Vaibhav Sourirajan +5
Data augmentation has long been a cornerstone for reducing overfitting in vision models, with methods like AutoAugment automating the design of task-specific augmentations. Recent…
A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech
Vaibhav Sourirajan, Anas Belouali, Mary Ann Dutton +2
Preventing Veteran suicide is a national priority. The US Department of Veterans Affairs (VA) collects, analyzes, and publishes data to inform suicide prevention strategies. Curren…