4 papers
Calibrated Uncertainty for Informative Path Planning in Aquatic Environmental Monitoring
Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +4
Informative Path Planning for scalar field reconstruction uses predictive uncertainty to direct sensing vehicles toward maximally informative locations. Gaussian Processes provide…
Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles
Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +3
Accurate reconstruction of environmental scalar fields from sparse onboard observations is essential for autonomous vehicles engaged in aquatic monitoring. Beyond point estimates,…
Uncertainty-aware Language Modeling for Selective Question Answering
Qi Yang, Shreya Ravikumar, Fynn Schmitt-Ulms +9
We present an automatic large language model (LLM) conversion approach that produces uncertainty-aware LLMs capable of estimating uncertainty with every prediction. Our approach is…
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez +3
The modern pervasiveness of large-scale deep neural networks (NNs) is driven by their extraordinary performance on complex problems but is also plagued by their sudden, unexpected,…