5 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Beyond Perfect Scores: Proof-by-Contradiction for Trustworthy Machine Learning
Dushan N. Wadduwage, Dineth Jayakody, Leonidas Zimianitis
Machine learning (ML) models show strong promise for new biomedical prediction tasks, but concerns about trustworthiness have hindered their clinical adoption. In particular, it is…
Thinking in Groups: Permutation Tests Reveal Near-Out-of-Distribution
Yasith Jayawardana, Dineth Jayakody, Sampath Jayarathna +1
Deep neural networks (DNNs) have the potential to power many biomedical workflows, but training them on truly representative, IID datasets is often infeasible. Most models instead…
QuATON: Quantization Aware Training of Optical Neurons
Hasindu Kariyawasam, Ramith Hettiarachchi, Quansan Yang +7
Optical processors, built with "optical neurons", can efficiently perform high-dimensional linear operations at the speed of light. Thus they are a promising avenue to accelerate l…