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20232026
most citedGeneralization Bounds for Neural Belief Propagation Decoders

12 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Energy-Conditioned Noise Schedule and Whitening for Spectral Diffusion

Bata Vasic, Bane Vasic

This paper introduces an energy-adaptive noise scheduling and whitening strategy for transform-domain diffusion models. Existing spectral diffusion methods account for the non-unif…

cs.IT2025

Action-List Reinforcement Learning Syndrome Decoding for Binary Linear Block Codes

Milad Taghipour, Bane Vasic

This paper explores the application of reinforcement learning techniques to enhance the performance of decoding of linear block codes based on flipping bits and finding optimal dec…

quant-ph2024

Quantum Margulis Codes

Michele Pacenti, Bane Vasic

Recently, Lin and Pryadko presented the quantum two-block group algebra codes, a generalization of bicycle codes obtained from Cayley graphs of non-Abelian groups. We notice that t…

quant-ph2024★ 4 cited

Progressive-Proximity Bit-Flipping for Decoding Surface Codes

Michele Pacenti, Mark F. Flanagan, Dimitris Chytas +1

Topological quantum codes, such as toric and surface codes, are excellent candidates for hardware implementation due to their robustness against errors and their local interactions…

cs.IT2023

Low-Complexity Linear Programming Based Decoding of Quantum LDPC codes

Sana Javed, Francisco Garcia-Herrero, Bane Vasic +1

This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorith…

cs.IT2023★ 12 cited

Generalization Bounds for Neural Belief Propagation Decoders

Sudarshan Adiga, Xin Xiao, Ravi Tandon +2

Machine learning based approaches are being increasingly used for designing decoders for next generation communication systems. One widely used framework is neural belief propagati…