2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
Finding the Time to Think: Learning Planning Budgets in Real-Time RL
Aneesh Muppidi, Firas Darwish, Dylan Cope +2
Deliberating takes time. In real-time settings, that time is not free. Standard reinforcement learning (RL) sidesteps this as the environment waits indefinitely for the agent's dec…
Motion Capture is Not the Target Domain: Scaling Synthetic Data for Learning Motion Representations
Firas Darwish, George Nicholson, Aiden Doherty +1
Synthetic data offers a compelling path to scalable pretraining when real-world data is scarce, but models pretrained on synthetic data often fail to transfer reliably to deploymen…
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. Julián Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf +3
Uncertainty Quantification (UQ) is pivotal in enhancing the robustness, reliability, and interpretability of Machine Learning (ML) systems for healthcare, optimizing resources and…