Samet Demir

Orcid: 0000-0002-6676-0294

According to our database1, Samet Demir authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model.
CoRR, February, 2026

2025
Implicitly Normalized Online PCA: A Regularized Algorithm with Exact High-Dimensional Dynamics.
CoRR, December, 2025

Optimal Attention Temperature Enhances In-Context Learning under Distribution Shift.
CoRR, November, 2025

How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs.
CoRR, October, 2025

Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression.
Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis.
Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Asymptotic Study of in-Context Learning with Random Transformers Through Equivalent Models.
Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data.
CoRR, 2024

Studying Generalization Performance of Random Feature Model through Equivalent Models.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
Optimal Nonlinearities Improve Generalization Performance of Random Features.
Proceedings of the Asian Conference on Machine Learning, 2023

2020
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

2019
Neural Academic Paper Generation.
CoRR, 2019


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