Zafer Dogan

41 papers A* 3B 5C 2Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model.
CoRR
Onat Ure, Samet Demir, Zafer Dogan
2026 J jnl
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models.
IEEE Trans. Circuits Syst. Video Technol.
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2025 J jnl
A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning.
Evol. Syst.
Hadi Esmeray, Zafer Dogan, Ismail Iseri
2025 A* conf
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure.
ICLR
Samet Demir, Zafer Dogan
2025 J jnl
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure.
CoRR
Samet Demir, Zafer Dogan
2025 J jnl
Asymptotic Study of In-context Learning with Random Transformers through Equivalent Models.
CoRR
Samet Demir, Zafer Dogan
2025 — conf
Asymptotic Study of in-Context Learning with Random Transformers Through Equivalent Models.
MLSP
Samet Demir, Zafer Dogan
2025 — conf
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression.
MLSP
Yigit E. Yildirim, Samet Demir, Zafer Dogan
2025 J jnl
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression.
CoRR
Yigit E. Yildirim, Samet Demir, Zafer Dogan
2025 J jnl
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs.
CoRR
Samet Demir, Zafer Dogan
2025 J jnl
Implicitly Normalized Online PCA: A Regularized Algorithm with Exact High-Dimensional Dynamics.
CoRR
Samet Demir, Zafer Dogan
2025 — conf
Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis.
MLSP
M. Oguzhan Gultekin, Samet Demir, Zafer Dogan
2025 J jnl
Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis.
CoRR
M. Oguzhan Gultekin, Samet Demir, Zafer Dogan
2025 J jnl
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models.
CoRR
Cansu Korkmaz, Ahmet Murat Tekalp, Zafer Dogan
2025 J jnl
Optimal Attention Temperature Enhances In-Context Learning under Distribution Shift.
CoRR
Samet Demir, Zafer Dogan
2024 A* conf
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning.
NeurIPS
Andrew Bond, Zafer Dogan
2024 J jnl
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning.
CoRR
Andrew Bond, Zafer Dogan
2024 J jnl
Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data.
CoRR
Samet Demir, Zafer Dogan
2024 — conf
Studying Generalization Performance of Random Feature Model through Equivalent Models.
SIU
Samet Demir, Zafer Dogan
2024 A* conf
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts.
CVPR
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2024 J jnl
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts.
CoRR
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2024 J jnl
Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback.
CoRR
Cansu Korkmaz, Ege Çirakman, A. Murat Tekalp, Zafer Dogan
2024 B conf
Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback.
ICIP
Cansu Korkmaz, Ege Çirakman, A. Murat Tekalp, Zafer Dogan
2023 C conf
Optimal Nonlinearities Improve Generalization Performance of Random Features.
ACML
Samet Demir, Zafer Dogan
2023 J jnl
Optimal Nonlinearities Improve Generalization Performance of Random Features.
CoRR
Samet Demir, Zafer Dogan
2022 J jnl
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors.
CoRR
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2022 B conf
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors.
ICIP
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2022 B conf
Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models.
ICIP
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan, Erkut Erdem, Aykut Erdem
2022 J jnl
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models.
CoRR
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan, Erkut Erdem, Aykut Erdem
2021 J jnl
Diagnosis of Inter-Turn Faults Based on Fault Harmonic Component Tracking in LSPMSMs Working Under Nonstationary Conditions.
IEEE Access
Zafer Dogan, Kubra Tetik
2021 C conf
On the Computation of PSNR for a Set of Images or Video.
PCS
Onur Keles, Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Cansu Korkmaz, Zafer Dogan
2021 J jnl
On the Computation of PSNR for a Set of Images or Video.
CoRR
Onur Keles, Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Cansu Korkmaz, Zafer Dogan
2021 B conf
Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution.
ICIP
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2021 J jnl
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution.
CoRR
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
2019 J jnl
Domain-Informed Spline Interpolation.
IEEE Trans. Signal Process.
Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo
2015 — —
Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization.
Zafer Dogan
2015 J jnl
Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach.
IEEE Trans. Signal Process.
Zafer Dogan, Christopher Gilliam, Thierry Blu, Dimitri Van De Ville
2014 — conf
Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation.
ISBI
Zafer Dogan, Thierry Blu, Dimitri Van De Ville
2013 — conf
Eigensensing and deconvolution for the reconstruction of heat absorption profiles from photoacoustic tomography data.
ISBI
Zafer Dogan, Thierry Blu, Dimitri Van De Ville
2012 — conf
3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation.
ISBI
Zafer Dogan, Ivana Jovanovic, Thierry Blu, Dimitri Van De Ville
2011 B conf
A second-order extension of TV regularization for image deblurring.
ICIP
Zafer Dogan, Stamatios Lefkimmiatis, Aurélien Bourquard, Michael Unser