2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.AP2026
Prior-Data Fitted Networks for Causal Inference: a Simulation Study with Real-World Scenarios
Francisco Mourao, David Hajage, Daria Bystrova +4
Prior-Data Fitted Networks (PFNs) represent a paradigm shift in tabular data prediction. We present the principles of this new paradigm and evaluate two PFNs for estimating the ave…
cs.CV2026★ 2 cited
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Pascaline André, Charles Heitz +12
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…