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20242026
most citedAnomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC

1 citations · 2 across the 7 of their papers we have counts for

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cs.LG2025

Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies

Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel +3

Modern artificial intelligence has revolutionized how we extract representations from scientific data, yet the statistical properties of these representations remain poorly control…

cs.LG2025

AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing

Samuel Bright-Thonney, Christina Reissel, Gaia Grosso +6

Novelty detection in large scientific datasets faces two key challenges: the noisy and high-dimensional nature of experimental data, and the necessity of making statistically robus…