5 citations · 7 across the 5 of their papers we have counts for
5 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…
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can +1
Discrete flow matching, a recent framework for modeling categorical data, has shown competitive performance with autoregressive models. However, unlike continuous flow matching, th…
Deep Metric Learning with Chance Constraints
Yeti Z. Gurbuz, Ogul Can, A. Aydin Alatan
Deep metric learning (DML) aims to minimize empirical expected loss of the pairwise intra-/inter- class proximity violations in the embedding space. We relate DML to feasibility pr…
Deep Metric Learning with Alternating Projections onto Feasible Sets
Oğul Can, Yeti Ziya Gürbüz, A. Aydın Alatan
During the training of networks for distance metric learning, minimizers of the typical loss functions can be considered as "feasible points" satisfying a set of constraints impose…