Zafer Dogan - RankMe

41 papers A* 3B 5C 2Journal 23Unranked 7

Year	Rank	Type	Title / 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