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20242026
most citedSoft-Output Successive Cancellation List Decoding

13 citations · 19 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.IT2026

Conditional Correctness in List Decoding: How a Late Second Codeword Can Rescue Confidence in the First

Conrad Struss, Muriel Medard, Ken R. Duffy

In error correction, the difference between a codeword and a received word, a candidate noise sequence, carries information on the confidence of the codeword as a proposed decoding…

eess.SP2026

Sensing-Aided Ordered Reliability Bits Guessing Random Additive Noise Decoding

Yu Ge, Lukas Rapp, Ken R. Duffy +1

Integrated sensing and communication (ISAC) is a key enabler for future wireless systems, providing environmental information that can support tasks beyond conventional data transm…

cs.IT2026

Generalized Segmented GRAND for Guesswork Reduction in Turbo Product Decoding

Lukas Rapp, Jiewei Feng, Muriel Médard +1

Guessing random additive noise decoding (GRAND) can efficiently decode any moderately redundant code with near maximum likelihood (ML) performance via noise effect guessing. For bi…

cs.IT2026

SOGRAND decoding of LDPC codes

Ken R. Duffy, Jiewei Feng, Lukas Rapp +1

Long forward error correction codes are typically constructed by concatenating shorter component codes that are then decoded through iterative Soft-Input Soft-Output (SISO) of thei…

cs.AI2026

NOVA: Fundamental Limits of Knowledge Discovery Through AI

Salman Avestimehr, Ken Duffy, Muriel Médard

Can AI systems discover new knowledge through iterative self-improvement, and at what cost? We introduce NOVA, which models the ``generate, verify, accumulate, retrain'' loop as an…

cs.IT2026

The Benefit of Decoder-Provided Pilots in Highly Dynamic Channels

Duschia Bodet, Muriel Médard, Muralidhar Rangaswamy +1

Communications in highly dynamic channels relying on training-based channel estimation experience a trade-off between increasing channel measurement accuracy by sending more freque…

quant-ph2026

Efficient Soft-Output Guessing for Enhanced Quantum Tanner Code Decoding

Lukas Rapp, Muriel Médard, Eugene Tang +1

We introduce a generalized low-density parity-check decoding framework for quantum Tanner codes utilizing soft-output guessing random additive noise decoding (SOGRAND). By soft-out…