Improved Semantic Segmentation for Identification of Flooded Regions in UAV Aerial Images: A Transformer-Based Approach. - Ujjwal Verma; Gokul Puthumanaillam (IGARSS, 2023)

Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions. - Gokul Puthumanaillam; Ujjwal Verma (Neurocomputing, 2023)

Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment. - Gokul Puthumanaillam; Xiangyu Liu; Negar Mehr; Melkior Ornik (ICRA, 2024)

ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates. - Gokul Puthumanaillam; Manav Vora; Melkior Ornik (IROS, 2024)

A Moral Imperative: The Need for Continual Superalignment of Large Language Models. - Gokul Puthumanaillam; Manav Vora; Pranay Thangeda; Melkior Ornik (CoRR, 2024)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management. - Gokul Puthumanaillam; Paulo Padrao; Jose Fuentes; Leonardo Bobadilla; Melkior Ornik (AAMAS, 2025)

TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning. - Gokul Puthumanaillam; Jae Hyuk Song; Nurzhan Yesmagambet; Shinkyu Park; Melkior Ornik (L4DC, 2025)

TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models. - Gokul Puthumanaillam; Paulo Padrao; Jose Fuentes; Pranay Thangeda; William E. Schafer; Jae Hyuk Song; Karan Jagdale; Leonardo Bobadilla; Melkior Ornik (CoRR, 2025)

Motion Planning and Control with Unknown Nonlinear Dynamics through Predicted Reachability. - Zhiquan Zhang; Gokul Puthumanaillam; Manav Vora; Melkior Ornik (CoRR, 2025)

The Lazy Student's Dream: ChatGPT Passing an Engineering Course on Its Own. - Gokul Puthumanaillam; Melkior Ornik (CoRR, 2025)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements. - Gokul Puthumanaillam; Paulo Padrao; Jose Fuentes; Leonardo Bobadilla; Melkior Ornik (CoRR, 2025)