1 citations · 2 across the 2 of their papers we have counts for
3 papers
Cleave: Scaling Tensor Program Optimization via Decoupled Algebraic Search and Operator Scheduling
David Pissarra, Jinkun Lin, Haitian Jiang +2
Optimized kernels such as FlashAttention and FlashDecoding are crucial for accelerating today's large models. Most of them are handwritten by experts because existing ML compilers…
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
David Pissarra, Isabel Curioso, João Alveira +6
Automated clinical text anonymization has the potential to unlock the widespread sharing of textual health data for secondary usage while assuring patient privacy and safety. Despi…
Where to Sample: Rethinking ML-Based Malicious Traffic Detection at Terabit Scale
João Romeiras Amado, Francisco Pereira, David Pissarra +3
Machine Learning (ML)-based malicious traffic detectors can identify unseen attacks, including in encrypted traffic, but scaling them to Terabit rates remains challenging. Packet s…