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20212026
most citedApplications and Techniques for Fast Machine Learning in Science

77 citations · 78 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource Management

Yiming Zhang, Kun Yang, Cong Shen +1

This paper develops a hybrid offline-online multi-agent reinforcement learning framework based on decision transformers. The policy is first pretrained offline via supervised seque…

cs.MA2023

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation

Yiming Zhang, Dongning Guo

This paper introduces a novel approach to radio resource allocation in multi-cell wireless networks using a fully scalable multi-agent reinforcement learning (MARL) framework. A di…

cs.NI2023

Fault-Tolerant Spectrum Usage Consensus for Low-Earth-Orbit Satellite Constellations

Arman Mollakhani, Dongning Guo

Operators of low-Earth-orbit (LEO) non-geostationary satellite networks, also known as mega-constellations, are required by current regulations to share all available satellite spe…

eess.SP2023★ 1 cited

RadYOLOLet: Radar Detection and Parameter Estimation Using YOLO and WaveLet

Shamik Sarkar, Dongning Guo, Danijela Cabric

Detection of radar signals without assistance from the radar transmitter is a crucial requirement for emerging and future shared-spectrum wireless networks like Citizens Broadband…

cs.LG2021★ 77 cited

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar +84

In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time…