• Boram Park (박보람), Odd coloring of sparse graphs

    Room B232 IBS (기초과학연구원)

    We introduce an odd coloring of a graph, which was introduced very recently, motivated by parity type colorings of graphs. A proper vertex coloring of graph $G$ is said to be odd if for each non-isolated vertex $x \in V (G)$ there exists a color $c$ such that $c$ is used an odd number of

  • Cheolwon Heo (허철원), The complexity of the matroid-homomorphism problems

    Room B332 IBS (기초과학연구원)

    In this talk, we introduce homomorphisms between binary matroids that generalize graph homomorphisms. For a binary matroid $N$, we prove a complexity dichotomy for the problem $\rm{Hom}_\mathbb{M}(N)$ of deciding if a binary matroid $M$ admits a homomorphism to $N$. The problem is polynomial-time solvable if $N$ has a loop or has no circuits of odd

  • Kyeongsik Nam (남경식), Large deviations for subgraph counts in random graphs

    Room B332 IBS (기초과학연구원)

    The upper tail problem for subgraph counts in the Erdos-Renyi graph, introduced by Janson-Ruciński, has attracted a lot of attention. There is a class of Gibbs measures associated with subgraph counts, called exponential random graph model (ERGM). Despite its importance, lots of fundamental questions have remained unanswered owing to the lack of exact solvability. In

  • Hongseok Yang (양홍석), Learning Symmetric Rules with SATNet

    Room B332 IBS (기초과학연구원)

    SATNet is a differentiable constraint solver with a custom backpropagation algorithm, which can be used as a layer in a deep-learning system. It is a promising proposal for bridging deep learning and logical reasoning. In fact, SATNet has been successfully applied to learn, among others, the rules of a complex logical puzzle, such as Sudoku,