I am a PhD student in mathematics at the Eötvös Loránd University
in Budapest. My research is focused on singularity theory, low
dimensional topology, mirror symmetry and some moduli problems, like Hilbert schemes. My
advisor is András Némethi.
Adam Gyenge, On the topology of the exceptional Lie group G2, MSc thesis (mathematics), 2011. pdf
Adam Gyenge, Janne Sinkkonen, András A. Benczúr, An efficient block model for clustering sparse graphs, MLG 2010 - 8th International Workshop on Mining and Learning with Graphs (in conjunction with KDD 2010), 2010. pdf
Adam Gyenge, Malliavin calculus and its applications, BSc thesis (mathematics), 2010. pdf
Adam Gyenge, Bayesian clustering of block structured relational data, MSc thesis (computer science), 2009. pdf
Juuso Parkkinen, Adam Gyenge, Janne Sinkkonen, Samuel Kaski, A block model suitable for sparse graphs, MLG 2009 - 7th International Workshop on Mining and Learning with Graphs, 2009. pdf
Adam Gyenge, Statistical methods for the investigation of scale-free networks, Student’s Conference of Budapest University of Technology and Economics, 2007 (in Hungarian) Paper, talk, software