20 citations · 23 across the 5 of their papers we have counts for
6 papers
Lifted State Policy Optimization: Internalizing Self-Correction through Transition Geometry
Ren Zhuang, Ben Wang, Shuifa Sun
Preference optimization ranks final answers and trajectory RL maximizes aggregate returns, yet neither credits the local change that turns a flawed reasoning state into a better on…
StatQAT: Statistical Quantizer Optimization for Deep Networks
Mehmet Aktukmak, Daniel Huang, Ke Ding
Quantization is essential for reducing the computational cost and memory usage of deep neural networks, enabling efficient inference on low-precision hardware. Despite the growing…
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz
Time series forecasting is crucial for various applications, such as weather forecasting, power load forecasting, and financial analysis. In recent studies, MLP-mixer models for ti…
Incorporating Polar Field Data for Improved Solar Flare Prediction
Mehmet Aktukmak, Zeyu Sun, Monica Bobra +4
In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning m…
A Graphical Model for Fusing Diverse Microbiome Data
Mehmet Aktukmak, Haonan Zhu, Marc G. Chevrette +4
This paper develops a Bayesian graphical model for fusing disparate types of count data. The motivating application is the study of bacterial communities from diverse high dimensio…
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero
The commonly used latent space embedding techniques, such as Principal Component Analysis, Factor Analysis, and manifold learning techniques, are typically used for learning effect…