output
20082026
most citedV2X in 3GPP Standardization: NR Sidelink in Rel-16 and Beyond

162 citations

115 papers

cs.LG2026

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

Mingzhi Chen, Yiyu Gui, Guibo Luo +1

Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End-to-end models require task-specifi…

cs.LG2026

PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams

Peter Bauer, Andreas Porada, Felix Ott +2

Modern pedestrian dead reckoning (PDR) systems rely on fusing noisy and biased estimates of position, velocity, and calibrated orientation derived from loosely coupled sensors to d…

cs.LG2026

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers

Lukas Schelenz, Shobha Rajanna, Denis Gosalci +6

Forecasting within signal processing pipelines is crucial for mitigating delays, particularly in predicting the dynamic movements of objects such as NBA players. This task poses si…

cs.LG2026★ 1 cited

GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU

Thorben Wegner, Lucas Heublein, Tobias Feigl +3

Traditional methods for classifying global navigation satellite system (GNSS) jamming signals typically involve post-processing raw or spectral data streams, requiring complex and…

quant-ph2026

Learning Logical Operations for Arbitrary Quantum Error Correction Codes

Nico Meyer, Christopher Mutschler, Dominik Seuß +2

Logical operations are essential for quantum computation within quantum error-correcting codes. However, discovering their physical realizations is challenging, especially for non-…

cs.AR2026

CellE: Automated Standard Cell Library Extension via Equality Saturation

Yi Ren, Yukun Wang, Xiang Meng +6

Automated standard cell library extension is crucial for maximizing Quality of Results (QoR) in modern VLSI design. We introduce CellE, a novel framework that leverages formal meth…