2 papers
cs.IR2025
Making Sense of Data in the Wild: Data Analysis Automation at Scale
Mara Graziani, Malina Molnar, Irina Espejo Morales +2
As the volume of publicly available data continues to grow, researchers face the challenge of limited diversity in benchmarking machine learning tasks. Although thousands of datase…
quant-ph2024
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…