14 citations · 14 across the 5 of their papers we have counts for
5 papers
Neural Collapse Is Forbidden: Information Floors in Language Models
Bruno Abrahao
Within-class variance in language-model representations is commonly read as incomplete neural collapse. We argue it is allocated information storage, and that the allocation obeys…
GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility
Bruno Abrahao
Outlier Exposure (OE) is among the strongest training-based OOD detectors on standard benchmarks but exhibits scorer-dependent tradeoffs (e.g., strong on MSP, weak on KNN) and requ…
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang, Tian Qin, Eduardo Valle +1
Out-of-distribution (OOD) detection is critical for deploying image classifiers in safety-sensitive environments, yet existing detectors often struggle when OOD samples are semanti…
Model Rectification via Unknown Unknowns Extraction from Deployment Samples
Bruno Abrahao, Zheng Wang, Haider Ahmed +1
Model deficiency that results from incomplete training data is a form of structural blindness that leads to costly errors, oftentimes with high confidence. During the training of c…
Trace Complexity of Network Inference
Bruno Abrahao, Flavio Chierichetti, Robert Kleinberg +1
The network inference problem consists of reconstructing the edge set of a network given traces representing the chronology of infection times as epidemics spread through the netwo…