Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. - Huma Jamil; Yajing Liu; Turgay Caglar; Christina M. Cole; Nathaniel Blanchard; Christopher Peterson 001; Michael Kirby (CVPR Workshops, 2023)

Towards More Likely Models for AI Planning. - Turgay Caglar; Sirine Belhaj; Tathagata Chakraborti; Michael Katz 001; Sarath Sreedharan (CoRR, 2023)

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning. - Turgay Caglar; Sirine Belhaj; Tathagata Chakraborti; Michael Katz 001; Sarath Sreedharan (AAAI, 2024)

HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry. - Turgay Caglar; Sarath Sreedharan (AAMAS, 2024)

Integrating geometries of ReLU feedforward neural networks. - Yajing Liu; Turgay Caglar; Chris Peterson 001; Michael Kirby (Frontiers Big Data, 2024)

Excuse My Explanations: Integrating Excuses and Model Reconciliation for Actionable Explanations. - Turgay Caglar; Zahra Zahedi; Sarath Sreedharan (HRI, 2025)

Who Am I Dealing With? Explaining the Designer's Hidden Intentions. - Turgay Caglar; Sarath Sreedharan; Mor Vered (AAMAS, 2025)

SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs. - Rakesh Podder; Turgay Caglar; Shadaab Kawnain Bashir; Sarath Sreedharan; Indrajit Ray; Indrakshi Ray (SACMAT, 2025)