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02/20/2023
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels
In modern communication systems with feedback, there are increasingly mo...
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10/08/2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
Dynamic graph neural network (DGNN) is becoming increasingly popular bec...
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11/22/2021
Turbo Autoencoder with a Trainable Interleaver
A critical aspect of reliable communication involves the design of codes...
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08/18/2020
Deepcode and Modulo-SK are Designed for Different Settings
We respond to [1] which claimed that "Modulo-SK scheme outperforms Deepc...
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11/08/2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Designing codes that combat the noise in a communication medium has rema...
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09/27/2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Federated Learning (FL) refers to learning a high quality global model b...
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03/06/2019
DeepTurbo: Deep Turbo Decoder
Present-day communication systems routinely use codes that approach the ...
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11/30/2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Designing channel codes under low latency constraints is one of the most...
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07/02/2018
Deepcode: Feedback Codes via Deep Learning
The design of codes for communicating reliably over a statistically well...
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05/23/2018