Instance-wise algorithm configuration with graph neural networks. - Romeo Valentin; Claudio Ferrari; Jérémy Scheurer; Andisheh Amrollahi; Chris Wendler; Max B. Paulus (CoRR, 2022)

A Holistic Assessment of the Reliability of Machine Learning Systems. - Anthony Corso 001; David Karamadian; Romeo Valentin; Mary Cooper; Mykel J. Kochenderfer (CoRR, 2023)

Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection. - Romeo Valentin (CoRR, 2024)

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features. - Romeo Valentin; Sydney M. Katz; Joonghyun Lee; Don Walker; Matthew Sorgenfrei; Mykel J. Kochenderfer (CoRR, 2024)

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces. - Romeo Valentin; Sydney M. Katz; Vincent Vanhoucke; Mykel J. Kochenderfer (CoRR, 2025)

Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System. - Romeo Valentin; Sydney M. Katz; Artur B. Carneiro; Don Walker; Mykel J. Kochenderfer (CoRR, 2025)