1 citations · 1 across the 5 of their papers we have counts for
6 papers
Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs
Onur Selim Kilic, Yeti Z. Gurbuz, Cem O. Yaldiz +4
Clinical practice guidelines are long, multimodal documents whose branching recommendations are difficult to convert into executable clinical decision support (CDS), and one-shot p…
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can +1
While continuous diffusion models excel in modeling continuous distributions, their application to categorical data has been less effective. Recent work has shown that ratio-matchi…
Knowledge Distillation Layer that Lets the Student Decide
Ada Gorgun, Yeti Z. Gurbuz, A. Aydin Alatan
Typical technique in knowledge distillation (KD) is regularizing the learning of a limited capacity model (student) by pushing its responses to match a powerful model's (teacher).…
Generalizable Embeddings with Cross-batch Metric Learning
Yeti Z. Gurbuz, A. Aydin Alatan
Global average pooling (GAP) is a popular component in deep metric learning (DML) for aggregating features. Its effectiveness is often attributed to treating each feature vector as…
Feature Embedding by Template Matching as a ResNet Block
Ada Gorgun, Yeti Z. Gurbuz, A. Aydin Alatan
Convolution blocks serve as local feature extractors and are the key to success of the neural networks. To make local semantic feature embedding rather explicit, we reformulate con…
Blind Deinterleaving of Signals in Time Series with Self-attention Based Soft Min-cost Flow Learning
Oğul Can, Yeti Z. Gürbüz, Berkin Yıldırım +1
We propose an end-to-end learning approach to address deinterleaving of patterns in time series, in particular, radar signals. We link signal clustering problem to min-cost flow as…