Computational imaging systems face a fundamental challenge: real-world hardware never matches theoretical models. Manufacturing tolerances, alignment errors, optical aberrations, sensor noise, and ...

The left side represents the theoretical framework; the top middle contains a labeled box with a circumscribed circle displaying the call and put option prices (c, p), as well as the delta and vega ...

Harsha Tanneru, Sree, Chirag Agarwal, and Himabindu Lakkaraju. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Proceedings of the International Conference on ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

What does it mean for a language model to “know” something—and how should it communicate uncertainty to the people who use it? In this talk, Jacob Andreas, Associate Professor of Electrical ...

In any meeting of monetary policymakers, uncertainty is likely to play an important role in their deliberations. According to Alan Greenspan (2003), “Uncertainty is not just an important feature of ...

Emissions models can understate the difficulty of rapidly reducing carbon dioxide this decade. Yet most observers are accepting at face value the Senate climate bill’s promise to cut carbon almost in ...

Python-based preprocessing for applying machine learning in breast cancer metastasis prediction. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This abstract does not include a ...

LSE Philosophy Professor Roman Frigg gave the first Public Lecture under the Market Economies and Green Ideals project, funded by the John Templeton Foundation, at King's College London. The talk was ...