MIT Open Access Articles: Recent submissions
Now showing items 1-3 of 53010
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NOFIS: Normalizing Flow for Rare Circuit Failure Analysis
(ACM|61st ACM/IEEE Design Automation Conference, 2024-06-23) -
Hardness of Approximate Diameter: Now for Undirected Graphs
Approximating the graph diameter is a basic task of both theoretical and practical interest. A simple folklore algorithm can output a 2-approximation to the diameter in linear time by running BFS from an arbitrary vertex. ... -
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
(ACM|The 32nd ACM International Conference on Advances in Geographic Information Systems, 2024-10-29)Quantifying uncertainty is crucial for robust and reliable predictions. However, existing spatiotemporal deep learning mostly focuses on deterministic prediction, overlooking the inherent uncertainty in such prediction. ...