
Explore cutting-edge advancements in coding theory and cryptography at this Crypto 2022 session, featuring expert discussions on innovative algorithms and security protocols.

Explore robust data deduplication techniques for sparse graph structures, connecting to classical combinatorial problems and their wide-ranging applications.

Explore linear programming in coding theory, including MRRW and Levenshtein bounds, spherical codes, and connections to combinatorial objects. Discover recent advances in equiangular lines and energy bounds.

Explores character sum bias over high genus curves, strengthening Stepanov-Bombieri approach. Analyzes multiplicity in function fields using new 'universal derivative-fix' lemma.

Explore high-dimensional expanders, their mathematical foundations, and recent applications in computer science, including property testing, coding theory, and approximate counting.

Explore high-dimensional expanders, their local-to-global properties, and applications in coding theory, networking, and computational complexity.

Explore asymptotic distribution of Frobenius roots for curves and abelian varieties in this advanced mathematical lecture by Michael Tsfasman.

Explore algebraic geometry codes from surfaces, covering effective divisors, evaluation maps, minimum distance, and toric varieties. Gain insights into parameters, restrictions, and decoding techniques.

Explore graph sparsification, CSP compression, and code sparsification techniques. Learn about cutting-edge research in sublinear graph simplification and its applications to various domains.

Explore low degree testing over real numbers, focusing on theoretical concepts and applications in local algorithms.

Explore statistical physics and inference, covering Bayesian methods, error correction, spin glasses, and advanced algorithms like belief propagation. Gain insights into phase transitions and applications in machine learning.

Explore groundbreaking constructions for quantum locally testable codes, examining weight reduction, soundness amplification, and distance amplification techniques to achieve new parameter regimes in quantum error correction.

Delve into the mathematical analysis of noise-resilient protocols in broadcast networks, exploring tight bounds for general computation and innovative simulation schemes with Dr. Saxena.

Explore coding theory applications in distributed computing systems, focusing on erasure coding's role in handling unpredictable data access patterns and optimizing storage efficiency.

Explore the mathematical foundations of causal adversarial channels and their capacity constraints, focusing on discrete-time systems and state-based transitions in communication networks.

Delve into advanced network communication concepts, focusing on interactive coding schemes for broadcast channels with random bit-flip noise and strategies for optimizing multiparty computations.

Explore coding schemes for binary input-constrained channels, focusing on RLL constraints, Reed-Muller codes, and error resilience in both stochastic and adversarial channel models.

Explore cutting-edge research in theoretical computer science, including secure computation, communication protocols, coding theory, and fault-tolerant algorithms presented at ITCS 2020.

Explore private information retrieval in coded storage systems, focusing on algebraic-geometric codes and star product schemes for adjustable storage overhead and server collusion protection.

Explore error-correcting codes and their applications in efficient, stable presentations with Columbia University's Henry Yuen in this insightful talk from the Fields Institute workshop.

Explore advanced concepts in theoretical computer science, focusing on Probabilistically Checkable Proofs and global hyper-contractivity with expert Dor Minzer.