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:

MeTA: Multi-source Test Time Adaptation

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

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

Max-margin token selection in attention mechanism

Understanding Inverse Scaling and Emergence in Multitask Representation Learning

Mechanics of Next Token Prediction with Self-Attention

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

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

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

University of California, Riverside

Google Scholar

View Google Scholar Profile

Samet Oymak Skills & Research Interests

machine learning

statistics

optimization

Top articles of Samet Oymak

Title

Journal

Author(s)

Publication Date

MeTA: Multi-source Test Time Adaptation

arXiv preprint arXiv:2401.02561

Sk Miraj Ahmed

Fahim Faisal Niloy

Dripta S Raychaudhuri

Samet Oymak

Amit K Roy-Chowdhury

2024/1/4

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

Advances in Neural Information Processing Systems

Yingcong Li

Kartik Sreenivasan

Angeliki Giannou

Dimitris Papailiopoulos

Samet Oymak

2024/2/13

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

arXiv e-prints

Xiangyu Chang

Sk Miraj Ahmed

Srikanth V Krishnamurthy

Basak Guler

Ananthram Swami

...

2024/1

Max-margin token selection in attention mechanism

Davoud Ataee Tarzanagh

Yingcong Li

Xuechen Zhang

Samet Oymak

2024/2/13

Understanding Inverse Scaling and Emergence in Multitask Representation Learning

Muhammed E Ildiz

Zhe Zhao

Samet Oymak

2024/4/18

Mechanics of Next Token Prediction with Self-Attention

Yingcong Li

Yixiao Huang

M Emrullah Ildiz

Ankit Singh Rawat

Samet Oymak

2024/1

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

arXiv preprint arXiv:2402.04248

Jongho Park

Jaeseung Park

Zheyang Xiong

Nayoung Lee

Jaewoong Cho

...

2024/2/6

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

arXiv preprint arXiv:2404.13082

Xuechen Zhang

Zijian Huang

Ege Onur Taga

Carlee Joe-Wong

Samet Oymak

...

2024/4/17

Effective restoration of source knowledge in continual test time adaptation

Fahim Faisal Niloy

Sk Miraj Ahmed

Dripta S Raychaudhuri

Samet Oymak

Amit K Roy-Chowdhury

2024

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

AAAI 2024

Xuechen Zhang

Mingchen Li

Jiasi Chen

Christos Thrampoulidis

Samet Oymak

2024/1/25

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

arXiv preprint arXiv:2402.13512

M Emrullah Ildiz

Yixiao Huang

Yingcong Li

Ankit Singh Rawat

Samet Oymak

2024/2/21

FLASH: Federated Learning Across Simultaneous Heterogeneities

arXiv preprint arXiv:2402.08769

Xiangyu Chang

Sk Miraj Ahmed

Srikanth V Krishnamurthy

Basak Guler

Ananthram Swami

...

2024/2/13

Can Transformers Learn Optimal Filtering for Unknown Systems?

IEEE Control Systems Letters

Zhe Du

Haldun Balim

Samet Oymak

Necmiye Ozay

2023/11/22

On the Role of Attention in Prompt-tuning

Samet Oymak

Ankit Singh Rawat

Mahdi Soltanolkotabi

Christos Thrampoulidis

2023

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

Karthik Elamvazhuthi

Xuechen Zhang

Samet Oymak

Fabio Pasqualetti

2023/6/6

Augmenting Federated Learning with Pretrained Transformers

Xuechen Zhang

Mingchen Li

Xiangyu Chang

Jiasi Chen

Amit Roy-Chowdhury

...

2023/10/28

On the fairness of multitask representation learning

Yingcong Li

Samet Oymak

2023/6/4

Transformers as support vector machines

arXiv preprint arXiv:2308.16898

Davoud Ataee Tarzanagh

Yingcong Li

Christos Thrampoulidis

Samet Oymak

2023/8/31

Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation

arXiv preprint arXiv:2306.01648

Davoud Ataee Tarzanagh

Mingchen Li

Pranay Sharma

Samet Oymak

2023/6/2

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

Workshop on Emerging Multimedia Systems (EMS’23)

Xuechen Zhang

Zheng Li

Samet Oymak

Jiasi Chen

2023/8

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

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 109
Yonina Eldar

Yonina Eldar

Weizmann Institute of Science

H-index: 101
Kannan Ramchandran

Kannan Ramchandran

University of California, Berkeley

H-index: 85
Benjamin Recht

Benjamin Recht

University of California, Berkeley

H-index: 61
Joel A. Tropp

Joel A. Tropp

California Institute of Technology

H-index: 42
Mahdi Soltanolkotabi

Mahdi Soltanolkotabi

University of Southern California

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