
Explore quantum dynamics and optimal transport with François Golse, discussing the application of Monge's theory to quantum states and its implications for mean-field and classical limits in quantum mechanics.

Explore the intersection of camera imaging and cubic surfaces in this advanced seminar on multiview geometry, featuring insights into minimal reconstruction problems and their geometric implications.

Bayesian approach to sparse inverse problems in imaging and dictionary learning, featuring efficient computational framework and hierarchical prior models for sparsity promotion and automatic model reduction.

Explore how diffusion processes in biology can be modeled mathematically, with insights from a leading expert in mathematical biology and biophysics.

Explore the evolution and future prospects of complex multiplication in mathematics with Benedict Gross in this insightful lecture from the Joint Mathematics Meetings.

Explore the history and foundations of complex multiplication in this engaging lecture by renowned mathematician Benedict Gross, delving into its past developments and current significance.

Explore macroscopic fluctuations in hard sphere gases, including deviations from the Boltzmann equation, central limit theorem, and large deviation bounds in the Boltzmann-Grad limit.

Explore the mathematical concept of sunflowers, from foundational principles to advanced applications, in this engaging lecture by Anup Rao at the Joint Mathematics Meetings.

Explore advanced graph algorithms and coding techniques in this IEEE session, focusing on cutting-edge research and practical applications in computer science.

Explore advanced matrix methods and their applications in computer science, focusing on cutting-edge research and algorithmic developments.

Explore advanced matrix methods and their applications in computer science, focusing on cutting-edge research and algorithmic developments.

Explore advanced concepts in graph algorithms and theory, delving into cutting-edge research and applications presented at FOCS 2020.

Explore advanced concepts in graph algorithms and theory, delving into cutting-edge research and applications presented at the FOCS 2020 conference.

Explore techniques for enumerating small induced subgraphs with specific properties, focusing on algorithmic approaches and complexity analysis in graph theory.

Explore efficient algorithms for list coloring graphs on surfaces, focusing on linear time complexity and distributed computing approaches.

Explore efficient algorithms for finding minimum k-cuts in simple graphs, improving computational speed and complexity for graph partitioning problems.

Explore innovative concepts and techniques for graph and hypergraph sparsification, advancing understanding of network structures and algorithms in computer science.

Explore graph properties testable for general planar graphs with one-sided error, focusing on characterization and analysis techniques.

Explore the intricacies of graph theory, focusing on 3-colouring H-colourable graphs and their computational complexity. Gain insights into advanced mathematical concepts and algorithmic challenges.

Explore efficient algorithms for computing shortest paths in planar graphs with varying edge weights, enhancing understanding of graph theory and optimization techniques.

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bounds and their applications in complex data analysis scenarios.