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Explore an advanced $\ell_p$ theory of PCA, improving upon vanilla PCA for heteroscedastic noises and yielding optimal bounds for spectral clustering and community detection.
Explore Python's ecosystem for single-cell data analysis with scverse, a community-driven initiative coordinating omics data work.
Explore how string field theory resolves ambiguities in string theory computations, focusing on D-instanton corrections and matrix model comparisons.
Explore connections between algebraic dynamics and arithmetic geometry, focusing on preperiodic points and torsion points in abelian varieties. Learn about recent breakthroughs in uniform bounds and conjectures.
Explore AI-driven chemical synthesis planning integrated with robotic automation, streamlining complex molecule production for drug development and materials science.
Explore the factorisation puzzle in AdS/CFT, examining how spacetime wormholes contribute to Hilbert space factorisation in two-sided black holes and its implications for holography.
Explore Reidemeister and analytic torsions on finite digraphs using path homology theory. Learn about Hodge Laplace operators, torsion identities, and formulas for Cartesian products and joins.
Explore symplectomorphism invariants of open domains, focusing on zeta functions, Reeb dynamics, and equivariant symplectic homology to distinguish toric domains.
Explore the connection between hybrid high-order and hybridizable discontinuous Galerkin methods for diffusion problems, unveiling new efficient approaches and optimal convergence.
Explore heterogeneous graph neural networks for effective representation learning in complex graphs with diverse node types, edge types, and associated content.
Explore whole-brain neuroscience in larval zebrafish, examining neuronal circuits, behavior, and advanced techniques for measuring and manipulating brain activity during virtual reality experiments.
Explore Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting using 3D deep networks and Earth-specific priors, outperforming traditional numerical prediction systems.
Explore homological aspects of branching laws for p-adic group representations, focusing on restriction to subgroups and projective representations in Bernstein blocks.
Explore groundbreaking research on Kakeya sets in R^3, uncovering a new lower bound for Hausdorff dimension and its implications in geometric measure theory.
Explore random lozenge tilings, their local geometry in large scale limits, and recent universality results for various tiling statistics.
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