Venkat Margapuri

24 papers C 3Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Hybrid Safety Verification of Multi-Agent Systems using ψ-Weighted CBFs and PAC Guarantees. ICAR Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
2025	J	`jnl`	Hybrid Safety Verification of Multi-Agent Systems using ψ-Weighted CBFs and PAC Guarantees. CoRR Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
2025	C	`conf`	PEPS: Quantum-Inspired Reinforcement Learning for Coherent Reasoning Traces in LLMs. ICMLA Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
2025	J	`jnl`	PEPS: Quantum-Inspired Reinforcement Learning for Coherent Reasoning Traces in LLMs. CoRR Venkat Margapuri, Garik Kazanjian, Naren Kosaraju
2025	J	`jnl`	Prompt Informed Reinforcement Learning for Visual Coverage Path Planning. CoRR Venkat Margapuri
2024	J	`jnl`	Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning. CoRR Venkat Margapuri
2024	—	`conf`	Hands-On Learning: Teaching Parallel and Distributed Computing through Unplugged Activities in Undergraduate CS Courses. SC Workshops Anurag Dasgupta, Venkat Margapuri, Simon Shamoun, Shubbhi Taneja, Matthew Toups
2024	J	`jnl`	Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer. CoRR Venkat Margapuri, Prapti Thapaliya, Trevor Rife
2024	J	`jnl`	Learning Parallelism through an Unplugged Class Activity. J. Comput. Sci. Coll. Matthew Toups, Anurag Dasgupta, Venkat Margapuri, Simon Shamoun, Shubbhi Taneja
2024	J	`jnl`	Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning. CoRR Lucas Steinmetz, Shivam Maheshwari, Garik Kazanjian, Abigail Loyson, Tyler Alexander, Venkat Margapuri, C. Nataraj
2024	—	`conf`	Seed Kernel Counting using Deep Learning for High-Throughput Phenotyping. IoTaIS Venkat Margapuri, Prapti Thapaliya, Mitchell L. Neilsen
2023	J	`jnl`	Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks. CoRR Venkat Margapuri, Prapti Thapaliya, Mitchell L. Neilsen
2022	C	`conf`	Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering. IPAS Venkat Margapuri, Trevor Rife, Chaney Courtney, Brandon Schlautman, Kai Zhao, Mitchell L. Neilsen
2022	J	`jnl`	Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering. CoRR Venkat Margapuri, Trevor Rife, Chaney Courtney, Brandon Schlautman, Kai Zhao, Mitchell L. Neilsen
2022	—	`conf`	Verification of Feature Detection Through Thermal Imaging: An Extension of PiBase. IoTaIS Anthony Atkinson, Venkat Margapuri, Mitchell L. Neilsen
2021	—	`conf`	Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks. SSCI Venkat Margapuri, Mitchell L. Neilsen
2021	J	`jnl`	Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks. CoRR Venkat Margapuri, Mitchell L. Neilsen
2021	—	`conf`	PiBase: An IoT-based Security System Using Google Firebase and Raspberry Pi. IoTaIS Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen
2021	J	`jnl`	PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase. CoRR Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen
2021	C	`conf`	Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery. ICMLA Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen
2021	J	`jnl`	Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery. CoRR Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen
2020	J	`jnl`	Bombus Species Image Classification. CoRR Venkat Margapuri, George Lavezzi, Robert Stewart, Dan Wagner
2020	J	`jnl`	Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning. CoRR Venkat Margapuri, Mitchell L. Neilsen
2020	J	`jnl`	Smart Motion Detection System using Raspberry Pi. CoRR Venkat Margapuri