Samet Oymak

Samet Oymak

University of California, Riverside

H-index: 36

North America-United States

About Samet Oymak

Samet Oymak, With an exceptional h-index of 36 and a recent h-index of 30 (since 2020), a distinguished researcher at University of California, Riverside, specializes in the field of machine learning, statistics, optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding Inverse Scaling and Emergence in Multitask Representation Learning

TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

FLASH: Federated Learning Across Simultaneous Heterogeneities

Dissecting chain-of-thought: Compositionality through in-context filtering and learning

Max-margin token selection in attention mechanism

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Samet Oymak Information

University

Position

___

Citations(all)

4396

Citations(since 2020)

3166

Cited By

2238

hIndex(all)

36

hIndex(since 2020)

30

i10Index(all)

60

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Samet Oymak Skills & Research Interests

machine learning

statistics

optimization

Top articles of Samet Oymak

Understanding Inverse Scaling and Emergence in Multitask Representation Learning

2024/4/18

Zhe Zhao
Zhe Zhao

H-Index: 1

Samet Oymak
Samet Oymak

H-Index: 24

TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection

arXiv preprint arXiv:2404.13082

2024/4/17

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

arXiv preprint arXiv:2402.13512

2024/2/21

Yixiao Huang
Yixiao Huang

H-Index: 4

Samet Oymak
Samet Oymak

H-Index: 24

FLASH: Federated Learning Across Simultaneous Heterogeneities

arXiv preprint arXiv:2402.08769

2024/2/13

Dissecting chain-of-thought: Compositionality through in-context filtering and learning

Advances in Neural Information Processing Systems

2024/2/13

Kartik Sreenivasan
Kartik Sreenivasan

H-Index: 10

Samet Oymak
Samet Oymak

H-Index: 24

Max-margin token selection in attention mechanism

2024/2/13

Davoud Ataee Tarzanagh
Davoud Ataee Tarzanagh

H-Index: 6

Samet Oymak
Samet Oymak

H-Index: 24

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

arXiv preprint arXiv:2402.04248

2024/2/6

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

AAAI 2024

2024/1/25

MeTA: Multi-source Test Time Adaptation

arXiv preprint arXiv:2401.02561

2024/1/4

Sk Miraj Ahmed
Sk Miraj Ahmed

H-Index: 3

Samet Oymak
Samet Oymak

H-Index: 24

Plug-and-Play Transformer Modules for Test-Time Adaptation

arXiv e-prints

2024/1

Mechanics of Next Token Prediction with Self-Attention

2024/1

Yixiao Huang
Yixiao Huang

H-Index: 4

Samet Oymak
Samet Oymak

H-Index: 24

Effective restoration of source knowledge in continual test time adaptation

2024

Sk Miraj Ahmed
Sk Miraj Ahmed

H-Index: 3

Samet Oymak
Samet Oymak

H-Index: 24

Noise in the reverse process improves the approximation capabilities of diffusion models

arXiv preprint arXiv:2312.07851

2023/12/13

Can Transformers Learn Optimal Filtering for Unknown Systems?

IEEE Control Systems Letters

2023/11/22

Augmenting Federated Learning with Pretrained Transformers

2023/10/28

Transformers as support vector machines

arXiv preprint arXiv:2308.16898

2023/8/31

Davoud Ataee Tarzanagh
Davoud Ataee Tarzanagh

H-Index: 6

Samet Oymak
Samet Oymak

H-Index: 24

Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations

Workshop on Emerging Multimedia Systems (EMS’23)

2023/8

Transformers as Algorithms: Generalization and Stability in In-context Learning

ICML

2023/7

Samet Oymak
Samet Oymak

H-Index: 24

Learning on manifolds: Universal approximations properties using geometric controllability conditions for neural odes

2023/6/6

On the fairness of multitask representation learning

2023/6/4

Samet Oymak
Samet Oymak

H-Index: 24

See List of Professors in Samet Oymak University(University of California, Riverside)

Co-Authors

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