2 papers
cs.LG2025
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Müller, Carlo Curino, Raghu Ramakrishnan
Foundation models are transforming machine learning across many modalities, with in-context learning replacing classical model training. Recent work on tabular data hints at a simi…
cs.DB2025
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes
Anja Gruenheid, Jesús Camacho-RodrÃguez, Carlo Curino +7
The proliferation of small files in data lakes poses significant challenges, including degraded query performance, increased storage costs, and scalability bottlenecks in distribut…