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Connor Stone

2 accepted papers

2025

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

ICLR 2025poster

We propose a likelihood-free method for comparing two distributions given samples from each, with the goal of assessing the quality of generative models. The proposed approach, PQMass, provides a statistically rigorous method for assessing the performance of a single generative model or the comparis…

Cited by 3SourcePDFScholar
2024

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

NeurIPS 2024poster

We present the `Multimodal Universe`, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, our dataset contains hundreds of millions of astronomical observations, constituting 100TB of multi-channel and hyper-spectr…