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07/14/2023
Step-GRAND: A Low Latency Universal Soft-input Decoder
GRAND features both soft-input and hard-input variants that are well sui...
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04/21/2023
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
We present SSS3D, a fast multi-objective NAS framework designed to find ...
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03/28/2023
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation
We present FMAS, a fast multi-objective neural architecture search frame...
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12/25/2022
BD-KD: Balancing the Divergences for Online Knowledge Distillation
Knowledge distillation (KD) has gained a lot of attention in the field o...
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08/03/2022
Efficient Fine-Tuning of Compressed Language Models with Learners
Fine-tuning BERT-based models is resource-intensive in memory, computati...
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05/03/2022
Efficient Fine-Tuning of BERT Models on the Edge
Resource-constrained devices are increasingly the deployment targets of ...
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04/29/2022
GRAND for Rayleigh Fading Channels
Guessing Random Additive Noise Decoding (GRAND) is a code-agnostic decod...
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02/24/2022
Standard Deviation-Based Quantization for Deep Neural Networks
Quantization of deep neural networks is a promising approach that reduce...
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10/26/2021
High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND
Ultra-reliable low-latency communication (URLLC), a major 5G New-Radio u...
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09/25/2021
Fast Successive-Cancellation List Flip Decoding of Polar Codes
This work presents a fast successive-cancellation list flip (Fast-SCLF) ...
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09/24/2021
List-GRAND: A practical way to achieve Maximum Likelihood Decoding
Soft GRAND (SGRAND) and Ordered Reliability Bits GRAND (ORBGRAND) are so...
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09/05/2021
Decoding Reed-Muller Codes with Successive Factor-Graph Permutations
This paper presents a novel successive factor-graph permutation (SFP) sc...
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08/28/2021
High-Throughput VLSI Architecture for GRAND Markov Order
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed M...
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08/28/2021
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
In this paper we propose efficient decoding techniques to significantly ...
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07/19/2021
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes
A low-complexity tree search approach is presented that achieves the max...
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05/15/2021
High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed a...
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11/06/2020
On Systematic Polarization-Adjusted Convolutional (PAC) Codes
Polarization-adjusted convolutional (PAC) codes were recently proposed a...
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09/17/2020
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
SC-Flip (SCF) is a low-complexity polar code decoding algorithm with imp...
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07/30/2020
Fast Thresholded SC-Flip Decoding of Polar Codes
SC-Flip (SCF) decoding algorithm shares the attention with the common po...
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07/14/2020
High-Throughput VLSI Architecture for GRAND
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed u...
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06/03/2020
Operation Merging for Hardware Implementations of Fast Polar Decoders
Polar codes are a class of linear block codes that provably achieves cha...
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12/02/2019
Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
A deep-learning-aided successive-cancellation list (DL-SCL) decoding alg...
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08/15/2019
Efficient Flicker-Free FEC Codes using Knuth's Balancing Algorithm for VLC
Visible light communication (VLC) provides a short-range optical wireles...
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03/21/2019
Rate-Flexible Fast Polar Decoders
Polar codes have gained extensive attention during the past few years an...
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02/06/2019
Asymmetric Construction of Low-Latency and Length-Flexible Polar Codes
Polar codes are a class of capacity-achieving error correcting codes tha...
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02/05/2019
Fast Decoding of Multi-Kernel Polar Codes
Polar codes are a class of linear error correction codes which provably ...
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10/31/2018
Neural Belief Propagation Decoding of CRC-Polar Concatenated Codes
Polar codes are the first class of error correcting codes that provably ...
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10/23/2018
Learning from the Syndrome
In this paper, we introduce the syndrome loss, an alternative loss funct...
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09/28/2018
Learning Recurrent Binary/Ternary Weights
Recurrent neural networks (RNNs) have shown excellent performance in pro...
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09/10/2018
Towards Practical Software Stack Decoding of Polar Codes
The successive cancellation list decoding algorithm for polar codes yiel...
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08/10/2018
Improved Bit-Flipping Algorithm for Successive Cancellation Decoding of Polar Codes
The interest in polar codes has been increasing significantly since thei...
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07/11/2018
Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations
Reed-Muller (RM) and polar codes are a class of capacity-achieving chann...
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06/28/2018
On the Decoding of Polar Codes on Permuted Factor Graphs
Polar codes are a channel coding scheme for the next generation of wirel...
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02/02/2018
A Multi-Kernel Multi-Code Polar Decoder Architecture
Polar codes have received increasing attention in the past decade, and h...
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01/04/2018
Design and Implementation of a Polar Codes Blind Detection Scheme
In blind detection, a set of candidates has to be decoded within a stric...
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12/11/2017
Multi-Mode Inference Engine for Convolutional Neural Networks
During the past few years, interest in convolutional neural networks (CN...
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11/29/2017
Improved Successive Cancellation Flip Decoding of Polar Codes Based on Error Distribution
Polar codes are a class of linear block codes that provably achieves cha...
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11/29/2017
Partitioned Successive-Cancellation Flip Decoding of Polar Codes
Polar codes are a class of channel capacity achieving codes that has bee...
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08/31/2017
PolarBear: A 28-nm FD-SOI ASIC for Decoding of Polar Codes
Polar codes are a recently proposed class of block codes that provably a...
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06/21/2017
Deep Learning Methods for Improved Decoding of Linear Codes
The problem of low complexity, close to optimal, channel decoding of lin...
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02/03/2017
A Multi-Gbps Unrolled Hardware List Decoder for a Systematic Polar Code
Polar codes are a new class of block codes with an explicit construction...
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11/07/2016
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization
Artificial neural networks have gone through a recent rise in popularity...
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11/04/2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
Recently deep neural networks have received considerable attention due t...
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10/18/2016
A 9.52 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture
Powerful Forward Error Correction (FEC) schemes are used in optical comm...
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03/16/2016
Fast Low-Complexity Decoders for Low-Rate Polar Codes
Polar codes are capacity-achieving error-correcting codes with an explic...
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09/29/2015
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing
The hardware implementation of deep neural networks (DNNs) has recently ...
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02/03/2014
Associative Memories Based on Multiple-Valued Sparse Clustered Networks
Associative memories are structures that store data patterns and retriev...
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02/18/2013