Geometric multimodal representation learning. - Yasha Ektefaie; George Dasoulas; Ayush Noori; Maha R. Farhat; Marinka Zitnik (CoRR, 2022)

Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts. - Tessa Han; Yasha Ektefaie; Maha R. Farhat; Marinka Zitnik; Himabindu Lakkaraju (CoRR, 2023)

Multimodal learning with graphs. - Yasha Ektefaie; George Dasoulas; Ayush Noori; Maha R. Farhat; Marinka Zitnik (Nat. Mac. Intell., 2023)

Empowering Biomedical Discovery with AI Agents. - Shanghua Gao; Ada Fang; Yepeng Huang; Valentina Giunchiglia; Ayush Noori; Jonathan Richard Schwarz; Yasha Ektefaie; Jovana Kondic; Marinka Zitnik (CoRR, 2024)

Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding. - Yasha Ektefaie; Olivia Viessmann; Siddharth Narayanan; Drew Dresser; J. Mark Kim; Armen Mkrtchyan (CoRR, 2024)

Evaluating generalizability of artificial intelligence models for molecular datasets. - Yasha Ektefaie; Andrew Shen; Daria Bykova; Maximillian G. Marin; Marinka Zitnik; Maha R. Farhat (Nat. Mac. Intell., 2024)

Controllable Sequence Editing for Counterfactual Generation. - Michelle M. Li; Kevin Li; Yasha Ektefaie; Shvat Messica; Marinka Zitnik (CoRR, 2025)