1 code implementation • 22 Feb 2023 • Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong
In this paper, we use the biological domain knowledge incorporated into stochastic models for ab initio RNA secondary-structure prediction to improve the state of the art in joint compression of RNA sequence and structure data (Liu et al., BMC Bioinformatics, 2008).
no code implementations • 15 May 2020 • Meng He, J. Ian Munro, Yakov Nekrich, Sebastian Wild, Kaiyu Wu
We present the first succinct distance oracles for (unweighted) interval graphs and related classes of graphs, using a novel succinct data structure for ordinal trees that supports the mapping between preorder (i. e., depth-first) ranks and level-order (breadth-first) ranks of nodes in constant time.
Data Structures and Algorithms
no code implementations • 6 May 2019 • David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
We give an algorithm to compute a one-dimensional shape-constrained function that best fits given data in weighted-$L_{\infty}$ norm.
2 code implementations • 30 Aug 2018 • The GAMBIT Collaboration, Peter Athron, Csaba Balázs, Ankit Beniwal, Sanjay Bloor, José Eliel Camargo-Molina, Jonathan M. Cornell, Ben Farmer, Andrew Fowlie, Tomás E. Gonzalo, Felix Kahlhoefer, Anders Kvellestad, Gregory D. Martinez, Pat Scott, Aaron C. Vincent, Sebastian Wild, Martin White, Anthony G. Williams
In all Higgs portal models, we find parameter regions that can explain all of dark matter and give a good fit to all data.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics
