2025
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
NeurIPS 2025poster
Machine learning models play a key role in safety-critical applications, such as autonomous vehicles and advanced driver assistance systems, where their robustness during inference is essential to ensure reliable operation. Sensor faults, however, can corrupt input signals, potentially leading to se…