10 citations · 30 across the 75 of their papers we have counts for
5 papers · 1 filter
Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning
Mohammad Areeb Qazi, Maryam Nadeem, Mohammad Yaqub
Healthcare requires AI that is predictive, reliable, and data-efficient. However, recent generative models lack physical foundation and temporal reasoning required for clinical dec…
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
Shahad Hardan, Darya Taratynova, Abdelmajid Essofi +2
Privacy preservation in AI is crucial, especially in healthcare, where models rely on sensitive patient data. In the emerging field of machine unlearning, existing methodologies st…
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning
Hu Wang, Congbo Ma, Ian Reid +1
The advantage function is a central concept in RL that helps reduce variance in policy gradient estimates. For language modeling, Group Relative Policy Optimization (GRPO) was prop…
Rethinking Weight-Averaged Model-merging
Hu Wang, Congbo Ma, Ibrahim Almakky +3
Model merging, particularly through weight averaging, has shown surprising effectiveness in saving computations and improving model performance without any additional training. How…
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network
Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani +2
Survival analysis plays a crucial role in estimating the likelihood of future events for patients by modeling time-to-event data, particularly in healthcare settings where predicti…