Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning. - Marc R. Schlichting; Stefan Notter; Walter Fichter (CoRR, 2022)

Deep Normalizing Flows for State Estimation. - Harrison Delecki; Liam A. Kruse; Marc R. Schlichting; Mykel J. Kochenderfer (FUSION, 2023)

SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. - Marc R. Schlichting; Nina V. Boord; Anthony L. Corso; Mykel J. Kochenderfer (ITSC, 2023)

Diffusion-Based Failure Sampling for Cyber-Physical Systems. - Harrison Delecki; Marc R. Schlichting; Mansur M. Arief; Anthony Corso 001; Marcell Vazquez-Chanlatte; Mykel J. Kochenderfer (CoRR, 2024)

LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool. - Marc R. Schlichting; Vale Rasmussen; Heba Alazzeh; Houjun Liu; Kiana Jafari Meimandi; Amelia F. Hardy; Dylan M. Asmar; Mykel J. Kochenderfer (CoRR, 2025)

Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals. - Liam A. Kruse; Marc R. Schlichting; Mykel J. Kochenderfer (CoRR, 2025)

Diffusion Models for Safety Validation of Autonomous Driving Systems. - Juanran Wang; Marc R. Schlichting; Harrison Delecki; Mykel J. Kochenderfer (CoRR, 2025)

Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers. - Juanran Wang; Marc R. Schlichting; Mykel J. Kochenderfer (CoRR, 2025)