2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes
Paulo Neves, Joerg K. Wegner, Philippe Schwaller
Ensuring high-quality data is paramount for maximizing the performance of machine learning models and business intelligence systems. However, challenges in data quality, including…
cs.LG2024★ 2 cited
ReacLLaMA: Merging chemical and textual information in chemical reactivity AI models
Aline Hartgers, Ramil Nugmanov, Kostiantyn Chernichenko +1
Chemical reactivity models are developed to predict chemical reaction outcomes in the form of classification (success/failure) or regression (product yield) tasks. The vast majorit…