
Explore discrete Poincaré inequalities in regular expander graphs, long-range expansion properties, and their implications for Banach space-valued functions, with improved estimates for Poincaré constants.

Explore advanced graph theory with Gil Cohen, delving into the Zig-Zag product and related graph operators using innovative analytic techniques for more precise bounds and insights.

Explore advanced analysis of graph operators using full spectrum and analytic techniques. Gain insights into Zig-Zag product, derandomized squaring, and their optimal bounds through finite free probability and analytic combinatorics.

Explore sparse matrices in compressive sensing, focusing on expander graphs and their applications. Learn about metric repair scenarios and algorithms for sparse signal recovery.

Explore grafos expansores: definição, aplicações, propriedades e resultados. Aprenda sobre sequências, conectividade e o problema principal desses grafos matemáticos.

Explore derandomization techniques using expander graphs to reduce error in randomized algorithms without significantly increasing random bits used.

Explore high-dimensional expanders, their mathematical properties, and applications in theoretical computer science. Learn about coboundary and spectral expansion, and their implications for complex structures.

Explore non-virtually Abelian discontinuous group actions and proper SL(2,R)-actions in this advanced mathematics lecture, part of a program on Zariski dense subgroups and geometric applications.

Explore recent advancements in testing bounded-degree graphs, including locally-characterized expander graphs, graph isomorphism studies, and applications of robustly self-ordered graphs.

Explore optimal bounds and applications of Hamiltonicity in expanders with Nemanja Draganić, delving into extremal and probabilistic combinatorics, Ramsey theory, and theoretical computer science.

Explore Dinur's PCP Theorem proof, covering degree-reduction, expanderizing, and alphabet-reduction in theoretical computer science. Gain insights into advanced concepts for research in computational complexity.

Explore advanced error-correcting code techniques, focusing on list decoding for Tanner and expander amplified codes, with insights from Shashank Srivastava's research.

Explore random walks on graphs to achieve better-than-1/2 approximation for max-cut on expanding and clusterable graphs, using sublinear time algorithms.

Explore expander graphs, their local and global properties, construction methods, and applications in this concise IEEE talk by experts in the field.

Explores lifecycle management complexity of datacenter topologies, comparing Clos and expander graphs. Introduces FatClique, a new topology combining wiring simplicity and expandability, with insights on deployment and expansion costs.

Innovative distributed caching mechanism providing provable load balancing for large-scale storage systems. Partitions hot objects and adaptively routes queries, enabling linear cache throughput increase with node count.

Innovative network design for datacenters combining low-latency delivery and high-bandwidth efficiency through dynamic reconfiguration, outperforming static topologies for various workloads.

Innovative approach to designing high-performance, deadlock-free expander data center networks using graph contraction, offering improved efficiency and throughput compared to traditional Clos networks.