12 citations · 35 across the 23 of their papers we have counts for
5 papers · 1 filter
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments
Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban +1
We investigate nonlinear regression for nonstationary sequential data. In most real-life applications such as business domains including finance, retail, energy and economy, timese…
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks
Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban +1
We study anomaly detection and introduce an algorithm that processes variable length, irregularly sampled sequences or sequences with missing values. Our algorithm is fully unsuper…
Achieving Online Regression Performance of LSTMs with Simple RNNs
N. Mert Vural, Fatih Ilhan, Selim F. Yilmaz +2
Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to generalize nonlinear temporal dependencies. As an RNN model, Long-Short-Term-Memory N…
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels
Fatih Ilhan, Suleyman Serdar Kozat
We investigate spatio-temporal event analysis using point processes. Inferring the dynamics of event sequences spatiotemporally has many practical applications including crime pred…
RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee
N. Mert Vural, Selim F. Yilmaz, Fatih Ilhan +1
We investigate online nonlinear regression with continually running recurrent neural network networks (RNNs), i.e., RNN-based online learning. For RNN-based online learning, we int…