1 citations · 2 across the 7 of their papers we have counts for
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Disentangling Marginal Capacity from Geometry in Optimal-Transport Label Transfer
Ali Khodabandeh Yalabadi, Azim Dehghani Amirabad, Artem Moskalev +4
Optimal transport (OT) is widely used to align distributions and transfer labels between unpaired source and target data, but source-target composition shifts can cause rare classe…
ConRetroBert: EMA Stabilized Dual Encoders for Template-Based Single-Step Retrosynthesis
Mohammad Jahid Ibna Basher, Ali Khodabandeh Yalabadi, Ivan Garibay +1
Template based single step retrosynthesis predicts reactants by selecting and applying an explicit reaction template, making each prediction traceable to a chemical transformation…
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data
Aida Tayebi, Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi +1
As AI systems become more embedded in everyday life, the development of fair and unbiased models becomes more critical. Considering the social impact of AI systems is not merely a…
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, AmirArsalan Rajabi +3
The persistent challenge of bias in machine learning models necessitates robust solutions to ensure parity and equal treatment across diverse groups, particularly in classification…
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation
Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi +3
Drug-Target Interaction (DTI) prediction is vital for drug discovery, yet challenges persist in achieving model interpretability and optimizing performance. We propose a novel tran…