Search Results for author: Michael Green

Found 3 papers, 2 papers with code

Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach

no code implementations8 Nov 2022 Zhikang Zhang, Bruno Machado Trindade, Michael Green, Zifan Yu, Christopher Pawlowicz, Fengbo Ren

Due to the complicated nanoscale structures of current integrated circuits(IC) builds and low error tolerance of IC image segmentation tasks, most existing automated IC image segmentation approaches require human experts for visual inspection to ensure correctness, which is one of the major bottlenecks in large-scale industrial applications.

Image Classification Image Segmentation +3

Borch: A Deep Universal Probabilistic Programming Language

1 code implementation13 Sep 2022 Lewis Belcher, Johan Gudmundsson, Michael Green

Ever since the Multilayered Perceptron was first introduced the connectionist community has struggled with the concept of uncertainty and how this could be represented in these types of models.

Probabilistic Programming

Making a (Counterfactual) Difference One Rationale at a Time

1 code implementation NeurIPS 2021 Mitchell Plyler, Michael Green, Min Chi

Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP).

counterfactual Data Augmentation

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