Kira Radinsky
23 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(126)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(20)
Core Methods
(11)
Artificial Intelligence
(9)
Deep Learning
(8)
Healthcare & Medicine
(7)
Natural Language Processing
(7)
Core AI
(7)
Clinical
(6)
Learning Types Β· Machine Learning
(6)
Application Areas
(5)
Learning Types Β· Deep Learning
(4)
Models
(4)
Applications
(3)
Architectures
(3)
Learning Paradigms
(3)
Keywords
generative adversarial network
(5)
representation learning
(4)
deep learning
(2)
neural model
(2)
ecg synthesis
(2)
ordinary differential equation
(2)
generative model
(2)
knowledge graph
(2)
sensitive attribute
(2)
word embedding
(2)
causal inference
(2)
graph neural network
(2)
electronic health record
(2)
partial differential equation
(2)
drug repurposing
(2)
natural language inference
(1)
weakly supervised learning
(1)
multi-task learning
(1)
medical imaging
(1)
text mining
(1)
Papers
PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis
AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
AAAI 2026
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
NAACL 2024
Molecular Optimization Model with Patentability Constraint
AAAI 2024
Clinical Contradiction Detection
EMNLP 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
ACL 2023
EqGNN: Equalized Node Opportunity in Graphs
AAAI 2022
Learning to Rank Articles for Molecular Queries
AAAI 2022
Temporal Attention for Language Models
NAACL 2022
12-Lead ECG Reconstruction via Koopman Operators
ICML 2021
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning
AAAI 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
Building Causal Graphs from Medical Literature and Electronic Medical Records
AAAI 2019
Cross-Cultural Transfer Learning for Text Classification
EMNLP 2019
Generating Timelines by Modeling Semantic Change
CoNLL 2019
Node Embedding over Temporal Graphs
IJCAI 2019
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification
AAAI 2019
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications
AAAI 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