23 citations · 29 across the 14 of their papers we have counts for
14 papers
PEPS: Quantum-Inspired Reinforcement Learning for Coherent Reasoning Traces in LLMs
Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
Large Language Models (LLMs) often struggle with maintaining coherent multi-step reasoning traces, particularly in tasks that require a structured logical flow. This work introduce…
Hybrid Safety Verification of Multi-Agent Systems using -Weighted CBFs and PAC Guarantees
Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
This study proposes a hybrid safety verification framework for closed-loop multi-agent systems under bounded stochastic disturbances. The proposed approach augments control barrier…
Prompt Informed Reinforcement Learning for Visual Coverage Path Planning
Venkat Margapuri
Visual coverage path planning with unmanned aerial vehicles (UAVs) requires agents to strategically coordinate UAV motion and camera control to maximize coverage, minimize redundan…
Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning
Venkat Margapuri
Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along the large intestine and rectum. The increase in the prevalence of UC coupled with gast…
Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning
Lucas Steinmetz, Shivam Maheshwari, Garik Kazanjian +4
Traumatic brain injury (TBI) presents a significant public health challenge, often resulting in mortality or lasting disability. Predicting outcomes such as mortality and Functiona…
Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer
Venkat Margapuri, Prapti Thapaliya, Trevor Rife
Modern day studies show a high degree of correlation between high yielding crop varieties and plants with upright leaf angles. It is observed that plants with upright leaf angles i…
Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks
Venkat Margapuri, Prapti Thapaliya, Mitchell Neilsen
High-throughput phenotyping (HTP) of seeds, also known as seed phenotyping, is the comprehensive assessment of complex seed traits such as growth, development, tolerance, resistanc…
Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering
Venkat Margapuri, Trevor Rife, Chaney Courtney +3
A common requirement of plant breeding programs across the country is companion planting -- growing different species of plants in close proximity so they can mutually benefit each…
Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery
Venkat Margapuri, Niketa Penumajji, Mitchell Neilsen
Plant breeding programs extensively monitor the evolution of seed kernels for seed certification, wherein lies the need to appropriately label the seed kernels by type and quality.…
PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase
Venkat Margapuri, Niketa Penumajji, Mitchell Neilsen
Smart environments are environments where digital devices are connected to each other over the Internet and operate in sync. Security is of paramount importance in such environment…
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks
Venkat Margapuri, Mitchell Neilsen
The first step toward Seed Phenotyping i.e. the comprehensive assessment of complex seed traits such as growth, development, tolerance, resistance, ecology, yield, and the measurem…
Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
Venkat Margapuri, Mitchell Neilsen
Seed phenotyping is the idea of analyzing the morphometric characteristics of a seed to predict the behavior of the seed in terms of development, tolerance and yield in various env…
Bombus Species Image Classification
Venkat Margapuri, George Lavezzi, Robert Stewart +1
Entomologists, ecologists and others struggle to rapidly and accurately identify the species of bumble bees they encounter in their field work and research. The current process req…
Smart Motion Detection System using Raspberry Pi
Venkat Margapuri
This paper throws light on the security issues that modern day homes and businesses face and describes the implementation of a motion detection system using Raspberry Pi which coul…