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John Paparrizos

2 accepted papers

2024

The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark

NeurIPS 2024poster

Time-series anomaly detection is a fundamental task across scientific fields and industries. However, the field has long faced the ``elephant in the room:'' critical issues including flawed datasets, biased evaluation measures, and inconsistent benchmarking practices that have remained largely ignor…

2019

Band-limited Training and Inference for Convolutional Neural Networks

ICML 2019oral

The convolutional layers are core building blocks of neural network architectures. In general, a convolutional filter applies to the entire frequency spectrum of the input data. We explore artificially constraining the frequency spectra of these filters and data, called band-limiting, during trainin…

Cited by 61SourcePDFScholar