Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models. - Nathan Vaska; Kevin Leahy 001; Victoria Helus (CASE, 2022)

Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. - Pradyumna Tambwekar; Nathan Vaska; Lakshita Dodeja; Matthew C. Gombolay (CoRR, 2022)

Addressing Mistake Severity in Neural Networks with Semantic Knowledge. - Natalie Abreu; Nathan Vaska; Victoria Helus (CoRR, 2022)

A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. - Pradyumna Tambwekar; Lakshita Dodeja; Nathan Vaska; Wei Xu; Matthew C. Gombolay (EMNLP (Findings), 2023)

Symmetric models for radar response modeling. - Colin Kohler; Nathan Vaska; Ramya Muthukrishnan; Whangbong Choi; Jung Yeon Park; Justin Goodwin; Rajmonda Caceres; Robin Walters 001 (NeurReps, 2023)

Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data. - Nathan Vaska; Victoria Helus (CoRR, 2023)

Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks. - Natalie Abreu; Nathan Vaska; Victoria Helus (CoRR, 2023)

Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. - Nathan Vaska; Justin Goodwin; Robin Walters 001; Rajmonda Sulo Caceres (ICASSP, 2025)