most citedImproving Noise Robustness through Abstractions and its Impact on Machine Learning

1 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

2 papers

astro-ph.IM2026

The Hollyfeld Gambit in Astrophysics

Benne Holwerda

We estimate the Hollyfeld Gambit for the Powerball lottery and its return on investment compared to present and extrapolated federal funding for astrophysical grants. Using a Monte…

cs.LG2024★ 1 cited

Improving Noise Robustness through Abstractions and its Impact on Machine Learning

Alfredo Ibias, Karol Capala, Varun Ravi Varma +2

Noise is a fundamental problem in learning theory with huge effects in the application of Machine Learning (ML) methods, due to real world data tendency to be noisy. Additionally,…