Radinsky, Kira

16 publications

TMLR 2026 Mechanism-Aware Prediction of Tissue-Specific Drug Activity via Multi-Modal Biological Graphs Sally Turutov, Kira Radinsky

NeurIPS 2025 BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction Amitay Sicherman, Kira Radinsky

TMLR 2025 FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning Dan Kalifa, Uriel Singer, Kira Radinsky

AAAI 2024 Molecular Optimization Model with Patentability Constraint Sally Turutov, Kira Radinsky

AAAI 2022 EqGNN: Equalized Node Opportunity in Graphs Uriel Singer, Kira Radinsky

AAAI 2022 Learning to Rank Articles for Molecular Queries Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky

ICML 2021 12-Lead ECG Reconstruction via Koopman Operators Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha

AAAI 2021 ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning Tomer Golany, Daniel Freedman, Kira Radinsky

AAAI 2020 Chemical and Textual Embeddings for Drug Repurposing Galia Nordon, Levi Gottlieb, Kira Radinsky

AAAI 2020 Improving ECG Classification Using Generative Adversarial Networks Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky

ICML 2020 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification Tomer Golany, Kira Radinsky, Daniel Freedman

AAAI 2019 Building Causal Graphs from Medical Literature and Electronic Medical Records Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky

IJCAI 2019 Node Embedding over Temporal Graphs Uriel Singer, Ido Guy, Kira Radinsky

AAAI 2019 PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification Tomer Golany, Kira Radinsky

AAAI 2019 Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky

JAIR 2012 Learning to Predict from Textual Data Kira Radinsky, Sagie Davidovich, Shaul Markovitch