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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.LG2026

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

Seunghun Yu, Meiyi Zhu, Petar Popovski +2

The paper proposes weighted conformal methods for changepoint localization and root‑cause analysis that downweight potentially corrupted observations using uncertainty estimates, a…

eess.SP2026

Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding

Guangyi Zhang, Yunlong Cai, Guanding Yu +2

In edge-cloud speculative decoding (SD), edge devices equipped with small language models (SLMs) generate draft tokens that are verified by large language models (LLMs) in the clou…

cs.LG2025

Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications

Junya Shiraishi, Jiechen Chen, Osvaldo Simeone +1

This paper proposes a low-power online anomaly detection framework based on neuromorphic wireless sensor networks, encompassing possible use cases such as brain-machine interfaces…

cs.IT2025

Prediction-Powered Communication with Distortion Guarantees

Matteo Zecchin, Unnikrishnan Kunnath Ganesan, Giuseppe Durisi +2

The development of 6G wireless systems is taking place alongside the development of increasingly intelligent wireless devices and network nodes. The changing technological landscap…

cs.LG2025

Distributed Conformal Prediction via Message Passing

Haifeng Wen, Hong Xing, Osvaldo Simeone

Post-hoc calibration of pre-trained models is critical for ensuring reliable inference, especially in safety-critical domains such as healthcare. Conformal Prediction (CP) offers a…

cs.IT2025

Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees

Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Matteo Zecchin +2

We investigate a lossy source compression problem in which both the encoder and decoder are equipped with a pre-trained sequence predictor. We propose an online lossy compression s…