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Samet Oymak

21 papers at tracked venues · 18 at CORE A* · active 2024–2025

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Venues

NeurIPS ×8AAAI ×4ICML ×4AISTATS ×3CVPR ×1ICLR ×1

Frequent coauthors

Yingcong Li
×6
Muhammed Emrullah Ildiz
×6
Xiangyu Chang
×5
Amit K. Roy-Chowdhury
×5
Xuechen Zhang
×5
Jiasi Chen
×4
Marco Mondelli
×3
Dimitris Papailiopoulos
×3
Ege Onur Taga
×3
Mingchen Li
×3
Yixiao Huang
×3
Ankit Singh Rawat
×3

Papers

  1. AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
    CVPR 2025 ·
    Xiangyu Chang
    ,
    Fahim Faisal Niloy
    ,
    Sk Miraj Ahmed
    ,
    Srikanth V. Krishnamurthy
    ,
    Basak Guler
    ,
    Ananthram Swami
    , Samet Oymak,
    Amit K. Roy-Chowdhury
  2. Attention with Trained Embeddings Provably Selects Important Tokens
    NeurIPS 2025 ·
    Diyuan Wu
    ,
    Aleksandr Shevchenko
    , Samet Oymak,
    Marco Mondelli
  3. BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
    NeurIPS 2025 ·
    Xuechen Zhang
    ,
    Zijian Huang
    ,
    Yingcong Li
    ,
    Chenshun Ni
    ,
    Jiasi Chen
    , Samet Oymak
  4. Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
    ICML 2025 ·
    Zheyang Xiong
    ,
    Ziyang Cai
    ,
    John Cooper
    ,
    Albert Ge
    ,
    Vasilis Papageorgiou
    ,
    Zack Sifakis
    ,
    Angeliki Giannou
    ,
    Ziqian Lin
    ,
    Liu Yang
    ,
    Saurabh Agarwal
    ,
    Grigorios Chrysos
    , Samet Oymak,
    Kangwook Lee
    ,
    Dimitris Papailiopoulos
  5. Extrapolation by Association: Length Generalization Transfer In Transformers
    NeurIPS 2025 ·
    Ziyang Cai
    ,
    Nayoung Lee
    ,
    Avi Schwarzschild
    , Samet Oymak,
    Dimitris Papailiopoulos
  6. High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
    ICLR 2025 ·
    Muhammed Emrullah Ildiz
    ,
    Halil Alperen Gozeten
    ,
    Ege Onur Taga
    ,
    Marco Mondelli
    , Samet Oymak
  7. On the Power of Convolution-Augmented Transformer
    AAAI 2025 ·
    Mingchen Li
    ,
    Xuechen Zhang
    ,
    Yixiao Huang
    , Samet Oymak
  8. Provable Benefits of Task-Specific Prompts for In-context Learning
    AISTATS 2025 ·
    Xiangyu Chang
    ,
    Yingcong Li
    ,
    Muti Kara
    , Samet Oymak,
    Amit Roy-Chowdhury
  9. Test-Time Training Provably Improves Transformers as In-context Learners
    ICML 2025 ·
    Halil Alperen Gozeten
    ,
    Muhammed Emrullah Ildiz
    ,
    Xuechen Zhang
    ,
    Mahdi Soltanolkotabi
    ,
    Marco Mondelli
    , Samet Oymak
  10. TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
    AAAI 2025 ·
    Ege Onur Taga
    ,
    Muhammed Emrullah Ildiz
    , Samet Oymak
  11. When and How Unlabeled Data Provably Improve In-Context Learning
    NeurIPS 2025 ·
    Yingcong Li
    ,
    Xiangyu Chang
    ,
    Muti Kara
    ,
    Xiaofeng Liu
    ,
    Amit K. Roy-Chowdhury
    , Samet Oymak
  12. A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions
    AAAI 2024 ·
    Karthik Elamvazhuthi
    ,
    Xuechen Zhang
    ,
    Matthew Jacobs
    , Samet Oymak,
    Fabio Pasqualetti
  13. CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
    NeurIPS 2024 ·
    Sk Miraj Ahmed
    ,
    Fahim Faisal Niloy
    ,
    Xiangyu Chang
    ,
    Dripta S. Raychaudhuri
    , Samet Oymak,
    Amit K. Roy-Chowdhury
  14. Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
    ICML 2024 ·
    Jongho Park
    ,
    Jaeseung Park
    ,
    Zheyang Xiong
    ,
    Nayoung Lee
    ,
    Jaewoong Cho
    , Samet Oymak,
    Kangwook Lee
    ,
    Dimitris Papailiopoulos
  15. Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
    AAAI 2024 ·
    Xuechen Zhang
    ,
    Mingchen Li
    ,
    Jiasi Chen
    ,
    Christos Thrampoulidis
    , Samet Oymak
  16. Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
    NeurIPS 2024 ·
    Xuechen Zhang
    ,
    Zijian Huang
    ,
    Ege Onur Taga
    ,
    Carlee Joe-Wong
    , Samet Oymak,
    Jiasi Chen
  17. Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
    NeurIPS 2024 ·
    Yingcong Li
    ,
    Ankit Singh Rawat
    , Samet Oymak
  18. From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
    ICML 2024 ·
    Muhammed Emrullah Ildiz
    ,
    Yixiao Huang
    ,
    Yingcong Li
    ,
    Ankit Singh Rawat
    , Samet Oymak
  19. Mechanics of Next Token Prediction with Self-Attention
    AISTATS 2024 ·
    Yingcong Li
    ,
    Yixiao Huang
    ,
    Muhammed Emrullah Ildiz
    ,
    Ankit Singh Rawat
    , Samet Oymak
  20. Selective Attention: Enhancing Transformer through Principled Context Control
    NeurIPS 2024 ·
    Xuechen Zhang
    ,
    Xiangyu Chang
    ,
    Mingchen Li
    ,
    Amit K. Roy-Chowdhury
    ,
    Jiasi Chen
    , Samet Oymak
  21. Understanding Inverse Scaling and Emergence in Multitask Representation Learning
    AISTATS 2024 ·
    Muhammed Emrullah Ildiz
    ,
    Zhe Zhao
    , Samet Oymak