Author

Nikolay Atanasov

2 papers indexed here

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Expanding Safe Sets with Learning-Based Barrier Functions and Reachability

GP-CBF is presented, a learning-based framework for synthesizing and continuously adapting a robust control barrier value function for safe robot navigation in unknown environments, ensuring safety and outperforming existing baselines.

T. Matthews, Maheshwari N. Kumar, Azra Begzadić et al. · 0 citations

#machine learning Preprint Aug 2026

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

A unified probabilistic perspective on CP and DRO is developed by viewing both as ways to turn finite calibration data into a data-dependent quantile estimator that a test score falls below with high probability.

Kehan Long, Yi-Qi Zhao, Pol Mestres et al. · 0 citations