most citedLearning Graph Neural Networks for Multivariate Time Series Anomaly Detection

5 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Benchmarking exchange-only control of a 48-spin singlet manifold

HRL Quantum Team, Microsoft Collaborators, : +125

Exchange-only quantum computing benefits from high fidelity and straightforward control afforded by the exchange interaction. However, independently controllable qubits must be enc…

cs.LG2026

Let Training Guide Selection: Online Synthetic Data Filtering via Real-Anchored Utility

Yanran Wu, Sana Lakdawala, Renzo Tassara Miller +6

Synthetic data can scale training supervision when real-world data are limited, but noise and distribution mismatch can reduce its value. Existing synthetic data selection methods…

quant-ph2026

A digitally controlled silicon quantum processing unit

Members of the HRL Quantum Team, Collaborators, : +255

Commercially-relevant quantum computers will require large numbers of high-performing qubits that can be manufactured, integrated, and controlled at scale. Silicon exchange-only (E…

cs.CV2026

Enhancing Open-Vocabulary Object Detection through Multi-Level Fine-Grained Visual-Language Alignment

Tianyi Zhang, Antoine Simoulin, Kai Li +5

Traditional object detection systems are typically constrained to predefined categories, limiting their applicability in dynamic environments. In contrast, open-vocabulary object d…

cs.LG2021★ 5 cited

Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection

Saswati Ray, Sana Lakdawala, Mononito Goswami +1

In this work, we propose GLUE (Graph Deviation Network with Local Uncertainty Estimation), building on the recently proposed Graph Deviation Network (GDN). GLUE not only automatica…