← Authors

Kira Radinsky

24 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (58) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸ—ƒοΈ Keyword Collector (129) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

AAAI (11) CONLL (3) EMNLP (3) ICML (2) NAACL (2) ACL (1) IJCAI (1) IJCNLP (1)

Top co-authors

Tomer Golany (5) Ido Guy (4) Daniel Freedman (4) Galia Nordon (4) Gal Lavee (3) Guy D. Rosin (3) Shadi Iskander (2) Dor Ringel (2) Yonatan Belinkov (2) Varda Shalev (2)

Keywords

generative adversarial network (5) representation learning (4) transfer learning (2) sensitive attribute (2) drug repurposing (2) ecg synthesis (2) generative model (2) deep learning (2) ordinary differential equation (2) text classification (2) causal inference (2) neural model (2) bilingual corpus (2) graph neural network (2) knowledge graph (2) electronic health record (2) word embedding (2) partial differential equation (2) natural language inference (1) weakly supervised learning (1)

Papers

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026
PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis AAAI 2026
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information NAACL 2024
Molecular Optimization Model with Patentability Constraint AAAI 2024
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023
Clinical Contradiction Detection EMNLP 2023
Learning to Rank Articles for Molecular Queries AAAI 2022
EqGNN: Equalized Node Opportunity in Graphs AAAI 2022
Temporal Attention for Language Models NAACL 2022
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning AAAI 2021
12-Lead ECG Reconstruction via Koopman Operators ICML 2021
Chemical and Textual Embeddings for Drug Repurposing AAAI 2020
Improving ECG Classification Using Generative Adversarial Networks AAAI 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification ICML 2020
Generating Timelines by Modeling Semantic Change CONLL 2019
Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications AAAI 2019
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification AAAI 2019
Cross-Cultural Transfer Learning for Text Classification EMNLP 2019
Node Embedding over Temporal Graphs IJCAI 2019
Cross-Cultural Transfer Learning for Text Classification IJCNLP 2019
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? CONLL 2018
Learning Word Relatedness over Time EMNLP 2017
Named Entity Disambiguation for Noisy Text CONLL 2017