Shuvam Chakraborty

Orcid: 0000-0003-2135-9277

According to our database1, Shuvam Chakraborty authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Collaboration With Cellular Networks for RFI Cancellation at Radio Telescope.
IEEE Trans. Cogn. Commun. Netw., June, 2023

LOCI: Learning Low Overhead Collaborative Interference Cancellation for Radio Astronomy.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Communication Knowledge Aided Neural Network for OFDM Receiver in Terahertz Band.
Proceedings of the IEEE International Conference on Communications, 2022

Efficient Conditional Pre-training for Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
IQ-Learn: Inverse soft-Q Learning for Imitation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A case for OFDM in ultra-broadband terahertz communication: an experimental approach.
Proceedings of the mmNets@MobiCom 2021: Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems, 2021

Domain Knowledge aided Neural Network for Wireless Channel Estimation.
Proceedings of the IEEE Global Communications Conference, 2021

Spectrum Sharing via Collaborative RFI Cancellation for Radio Astronomy.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

2020
Belief Propagation Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning from Peers at the Wireless Edge.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019
A non-invasive method to extract the junction temperature of IGBT.
Proceedings of the IECON 2019, 2019

Resolution limit of 2D MUSIC in near-field source localization.
Proceedings of the IECON 2019, 2019


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