
Explore theoretical foundations for synthetic DNA data storage using nanopore sequencing, including channel models, noise characteristics, and coding schemes for practical archival applications.

Explores sparse codes-on-graphs for quantitative group testing, proposing LDPC codes with single parity-check codes and spatial coupling. Analyzes performance improvements and compares schemes through density evolution.

Explores rate-adaptive MacKay-Neal codes using protographs and distribution matchers for flexible, high-performance wireless and optical communication systems, achieving near-Shannon limit performance across various rates.

Explore new channel coding techniques for decentralized storage systems with adversarial nodes, focusing on non-binary LDPC codes in quantum key distribution protocols.

Explore characterizations and posets of binary CSS-T codes, delving into their mathematical properties and applications in coding theory.

Explores dynamic denoising in AMP for sparse regression codes with outer codes, discussing performance improvements, state evolution approximations, and extensions to multi-user scenarios and multiple measurement vectors.

Explore recent advancements in precoded polar codes, focusing on low-complexity design, high error-correction capability, and efficient decoding for improved communication systems.

Explore advanced techniques for improving polar codes, focusing on reducing scaling exponents and enhancing practical implementations in coding theory.

Explores optimizing Flash memory performance through mutual information maximization, focusing on LDPC codes and device longevity in the context of multi-bit cell storage and read operations.

Explore advanced techniques for constructing and decoding short-length codes, including staircase matrix codes, ordered statistic decoding, and innovative algorithms for polar codes.

Explores inapproximability of Minimum Distance Problem for linear codes over finite fields, proving W[1]-hardness. Extends results to Shortest Vector Problem on integer lattices.

Explore advanced error-correcting code theory, focusing on list-decoding techniques for random code ensembles. Gain insights into cutting-edge research in coding theory.

Explores exponential lower bounds for linear 3-query locally correctable codes, improving previous results and approaching best-known constructions. Discusses implications for error-correcting codes and related conjectures.

Explore advanced techniques for efficient list-decoding of Reed-Solomon codes, focusing on univariate multiplicity and folded variants in error-correcting code theory.

Explore error-correcting codes and their theoretical advancements, focusing on tree codes and their applications in communication systems.

Explore relaxed locally correctable codes with polylogarithmic query complexity, bridging the gap between lower and upper bounds using locally testable codes at multiple scales.

Explore efficient error-correcting codes with near-linear time and sub-linear space encoding/decoding algorithms. Learn about innovative techniques in hashing, locally correctable codes, and derandomization.

Explore asymptotically good relaxed locally correctable codes with improved query complexity, advancing error-correcting code theory through novel techniques and insights.

Explore error-correcting codes with multiplication properties, focusing on recent advancements and theoretical implications in coding theory.

Explore the mathematical concept of dual codes in error correction, focusing on evaluation codes and their properties in coding theory.

Explores impossibility of constant query locally decodable codes in deletion settings, contrasting with substitution errors. Proves non-existence, impacting error-correcting code theory.