Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?-Reference-Cited by-同舟云学术

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Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Thomas Christo Kurisummoottil¹,Saad Walid¹

Affiliation:

1. Virginia Tech,Wireless@VT,Bradley Department of Electrical and Computer Engineering,Arlington,VA,USA

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096153.pdf?arnumber=10096153

Reference23 articles.

1. Variational Causal Dynamics: Discovering Modular World Models from Interventions;anson,2022

2. Task-Oriented Multi-User Semantic Communications

3. Recurrent World Models Facilitate Policy Evolution;ha;Advances in Neural Information Processing Systems 31 (NeurIPS),2018

4. Kalman and Extended Kalman Filters: Concept, Derivation and Properties;ribeiro;Institute for Systems and Robotics,2004

5. Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications;thomas;available at arXiv 2210 12040,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks;IEEE Vehicular Technology Magazine;2024-03

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