Molaei, Soheila

7 publications

AISTATS 2025 Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

ICLRW 2025 Leveraging Shared Feature Representation in Cross-Domain Alignment of Decision Thresholds for Electronic Health Records Data. Elena Gal, Anshul Thakur, Soheila Molaei, Andrew Soltan, David A. Clifton

AISTATS 2025 Optimising Clinical Federated Learning Through Mode Connectivity-Based Model Aggregation Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

AISTATS 2024 Dynamic Inter-Treatment Information Sharing for Individualized Treatment Effects Estimation Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh, Soheila Molaei, David A Clifton

AISTATS 2024 Federated Learning for Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew Soltan, Hadi Zare, David A Clifton

AISTATS 2023 Adversarial De-Confounding in Individualised Treatment Effects Estimation Vinod K. Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton

NeurIPS 2023 GNNEvaluator: Evaluating GNN Performance on Unseen Graphs Without Labels Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan