3 papers
cs.AI2026
TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models
Martin Maritsch, Timo Stoffregen, Thomas Kaar +36
Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data formats, annot…
cs.LG2024
Graph Neural Networks on Graph Databases
Dmytro Lopushanskyy, Borun Shi
Training graph neural networks on large datasets has long been a challenge. Traditional approaches include efficiently representing the whole graph in-memory, designing parameter e…
eess.SP2024
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data
Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy +7
Central Venous Lines (C-Lines) and Arterial Lines (A-Lines) are routinely used in the Critical Care Unit (CCU) for blood sampling, medication administration, and high-frequency blo…