2 citations · 2 across the 2 of their papers we have counts for
3 papers
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation
Batuhan Cengiz, Halil Faruk Karagoz, Tufan Kumbasar
Recent methods in quantile regression have adopted a classification perspective to handle challenges posed by heteroscedastic, multimodal, or skewed data by quantizing outputs into…
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib +1
Diffusion models are generative models that have shown significant advantages compared to other generative models in terms of higher generation quality and more stable training. Ho…
Textile Pattern Generation Using Diffusion Models
Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi +1
The problem of text-guided image generation is a complex task in Computer Vision, with various applications, including creating visually appealing artwork and realistic product ima…