Eren Dogan

According to our database, Eren Dogan authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions.

Spiridon Kasapis, Eren Dogan, Irina N. Kitiashvili, Alexander G. Kosovichev, John T. Stefan, Jake D. Butler, Jonas Tirona, Sarang Patil, Mengjia Xu

CoRR, January, 2026

Forecasting Continuum Intensity for Solar Active Region Emergence Prediction using Transformers.

Jonas Tirona, Sarang Patil, Spiridon Kasapis, Eren Dogan, John T. Stefan, Irina N. Kitiashvili, Alexander G. Kosovichev, Mengjia Xu

CoRR, January, 2026

Effective Capacitance Modeling Using Graph Neural Networks.

Eren Dogan, Matthew R. Guthaus

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

2024

Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training.

H. Toprak Kesgin, Muzaffer Kaan Yuce, Eren Dogan, M. Egemen Uzun, Atahan Uz, Elif Ince, Yusuf Erdem, Osama Shbib, Ahmed Zeer, Mehmet Fatih Amasyali

CoRR, 2024

Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek.

Ahmed Zeer, Eren Dogan, Yusuf Sait Erdem, Elif Ince, Osama Shbib, M. Egemen Uzun, Atahan Uz, Muzaffer Kaan Yuce, H. Toprak Kesgin, Mehmet Fatih Amasyali

CoRR, 2024

Improvements to SDXL in NovelAI Diffusion V3.

Juan Ossa, Eren Dogan, Alex Birch, F. Johnson

CoRR, 2024

VLSI Hypergraph Partitioning with Deep Learning.

Muhammad Hadir Khan, Bugra Onal, Eren Dogan, Matthew R. Guthaus

CoRR, 2024

T\"urk\c{c}e Dil Modellerinin Performans Kar\c{s}{\i}la\c{s}t{\i}rmas{\i} Performance Comparison of Turkish Language Models.

Eren Dogan, M. Egemen Uzun, Atahan Uz, H. Emre Seyrek, Ahmed Zeer, Ezgi Sevi, H. Toprak Kesgin, Muzaffer Kaan Yuce, Mehmet Fatih Amasyali

CoRR, 2024

Introducing cosmosGPT: Monolingual Training for Turkish Language Models.

H. Toprak Kesgin, Muzaffer Kaan Yuce, Eren Dogan, M. Egemen Uzun, Atahan Uz, H. Emre Seyrek, Ahmed Zeer, Mehmet Fatih Amasyali

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024

GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs.

Bugra Onal, Eren Dogan, Muhammad Hadir Khan, Matthew R. Guthaus

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2022

Using Deep Compression on PyTorch Models for Autonomous Systems.

Eren Dogan, H. Fatih Ugurdag, Hasan Unlu

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Deep Compression for PyTorch Model Deployment on Microcontrollers.

Eren Dogan, H. Fatih Ugurdag, Hasan Unlu

CoRR, 2021