Bastian, Nathaniel D.

7 publications

L4DC 2025 Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
ICLRW 2025 KnowGuard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning Zhen Xiang, Shuang Yang, Nathaniel D. Bastian, Bo Li
TMLR 2025 SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J Clouse, Bradford J Kline, Susmit Jha
ICCV 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha
NeurIPSW 2024 Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander Michael Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha
NeurIPSW 2024 IDS-Agent: An LLM Agent for Explainable Intrusion Detection in IoT Networks Yanjie Li, Zhen Xiang, Nathaniel D. Bastian, Dawn Song, Bo Li
NeurIPS 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam, Nathaniel D. Bastian, Tian Lan