Soheila Molaei
7 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(5)
Healthcare & Medicine
(4)
Machine Learning
(4)
Clinical
(4)
Learning Paradigms · Artificial Intelligence
(4)
Architectures
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
federated learning
(3)
data-view heterogeneity
(2)
causal inference
(2)
data heterogeneity
(2)
electronic health record
(2)
model aggregation
(1)
deep learning
(1)
message passing
(1)
parameter sharing
(1)
observational study
(1)
node classification
(1)
treatment effect estimation
(1)
graph attention network
(1)
temporal graph
(1)
non-iid data
(1)
mode connectivity
(1)
counterfactual inference
(1)
conditional average treatment effect
(1)
neuro-symbolic learning
(1)
temporal graph attention
(1)
Papers
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
AAAI 2026
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
AISTATS 2025
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
AISTATS 2025
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
AISTATS 2024
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NeurIPS 2023