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05/24/2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Efficient compression of correlated data is essential to minimize commun...
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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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09/30/2022
TinyTurbo: Efficient Turbo Decoders on Edge
In this paper, we introduce a neural-augmented decoder for Turbo codes c...
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05/21/2022
Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels
In the decoding of linear block codes, it was shown that noticeable gain...
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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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08/13/2021
DeepIC: Coding for Interference Channels via Deep Learning
The two-user interference channel is a model for multi one-to-one commun...
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07/15/2021
A Channel Coding Benchmark for Meta-Learning
Meta-learning provides a popular and effective family of methods for dat...
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06/05/2021
Neural Distributed Source Coding
Distributed source coding is the task of encoding an input in the absenc...
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03/17/2021
Gaussian Channels with Feedback: A Dynamic Programming Approach
In this paper, we consider a communication system where a sender sends m...
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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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08/10/2020
HAPI: Hardware-Aware Progressive Inference
Convolutional neural networks (CNNs) have recently become the state-of-t...
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07/16/2020
BRP-NAS: Prediction-based NAS using GCNs
Neural architecture search (NAS) enables researchers to automatically ex...
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07/08/2020
Journey Towards Tiny Perceptual Super-Resolution
Recent works in single-image perceptual super-resolution (SR) have demon...
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04/29/2020
Stealth UAV through Coanda Effect
This paper uses Coanda Effect to reduce motors, the source of noise, and...
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04/20/2020
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
Automatic speech recognition (ASR) via call is essential for various app...
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02/11/2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
Neural architecture search (NAS) has been very successful at outperformi...
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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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03/06/2019
DeepTurbo: Deep Turbo Decoder
Present-day communication systems routinely use codes that approach the ...
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11/30/2018
A Framework for Fast and Efficient Neural Network Compression
Network compression reduces the computational complexity and memory cons...
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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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06/28/2018
Automatic Rank Selection for High-Speed Convolutional Neural Network
Low-rank decomposition plays a central role in accelerating convolutiona...
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05/23/2018
Communication Algorithms via Deep Learning
Coding theory is a central discipline underpinning wireline and wireless...
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09/12/2017
