1 citations · 1 across the 7 of their papers we have counts for
7 papers
Multivariate Variational Autoencoder
Mehmet Can Yavuz
Learning latent representations that are simultaneously expressive, geometrically well-structured, and reliably calibrated remains a central challenge for Variational Autoencoders…
Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix
Mehmet Can Yavuz, Berrin Yanikoglu
A central challenge in representation learning is constructing latent embeddings that are both expressive and efficient. In practice, deep networks often produce redundant latent s…
Variational Self-Supervised Learning
Mehmet Can Yavuz, Berrin Yanikoglu
We present Variational Self-Supervised Learning (VSSL), a novel framework that combines variational inference with self-supervised learning to enable efficient, decoder-free repres…
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation
Mehmet Can Yavuz, Yang Yang
In biomedical imaging analysis, the dichotomy between 2D and 3D data presents a significant challenge. While 3D volumes offer superior real-world applicability, they are less avail…
Policy Gradient-Driven Noise Mask
Mehmet Can Yavuz, Yang Yang
Deep learning classifiers face significant challenges when dealing with heterogeneous multi-modal and multi-organ biomedical datasets. The low-level feature distinguishability limi…
Variational Self-Supervised Contrastive Learning Using Beta Divergence
Mehmet Can Yavuz, Berrin Yanikoglu
Learning a discriminative semantic space using unlabelled and noisy data remains unaddressed in a multi-label setting. We present a contrastive self-supervised learning method whic…
Multilingual, Temporal and Sentimental Distant-Reading of City Events
Mehmet Can Yavuz
Leibniz's Monadology mentions perceptional and sentimental variations of the individual in the city. It is the interaction of people with people and events. Film festivals are high…