19 citations · 41 across the 12 of their papers we have counts for
15 papers
Exploring Various Sequential Learning Methods for Deformation History Modeling
Muhammed Adil Yatkin, Mihkel Korgesaar, Jani Romanoff +2
Current neural network (NN) models can learn patterns from data points with historical dependence. Specifically, in natural language processing (NLP), sequential learning has trans…
Analysis of Clustering and Degree Index in Random Graphs and Complex Networks
Ümit Işlak, Barış Yeşiloğlu
The purpose of this paper is to analyze the degree index and clustering index in random graphs. The degree index in our setup is a certain measure of degree irregularity whose basi…
Mixing time bounds for edge flipping on regular graphs
Yunus Emre Demirci, Ümit Işlak, Alperen Özdemir
The edge flipping is a non-reversible Markov chain on a given connected graph, which is defined by Chung and Graham. In the same paper, its eigenvalues and stationary distributions…
Mixing time bounds for edge flipping on regular graphs
Yunus Emre Demirci, Ümit Işlak, Alperen Yaşar Özdemir
The edge flipping is a non-reversible Markov chain on a given connected graph, which is defined by Chung and Graham in [CG12]. In the same paper, its eigenvalues and stationary dis…
On a cover time problem on a dynamic graph with steps at random times
Yunus Emre Demirci, Ümit Işlak, Mehmet Akif Yıldız
We introduce a cover time problem for random walks on dynamic graphs in which the graph expands in time and the walker moves at random times. Time to cover all nodes and number of…
The Variance and the Asymptotic Distribution of the Length of Longest -alternating Subsequences
Recep Altar Çiçeksiz, Yunus Emre Demirci, Ümit Işlak
We obtain an explicit formula for the variance of the number of -peaks in a uniformly random permutation. This is then used to obtain an asymptotic formula for the variance of t…