2 papers
cs.LG2026
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
Trisha Mittal, Akshay Mehra, Joshua Kimball
Dataset distillation (DD) has emerged as a prominent approach in data centric machine learning, aiming to synthesize compact training sets for efficient training by compressing the…
cs.LG2025
Measuring Time-Series Dataset Similarity using Wasserstein Distance
Hongjie Chen, Akshay Mehra, Josh Kimball +1
The emergence of time-series foundation model research elevates the growing need to measure the (dis)similarity of time-series datasets. A time-series dataset similarity measure ai…