4 citations · 4 across the 2 of their papers we have counts for
4 papers
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang +2
Combining large language models during training or at inference time has shown substantial performance gain over component LLMs. This paper presents LLM-TOPLA, a diversity-optimize…
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…
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…