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34 documents correspondants.

Prépublication · 2026 arXiv EN

Hide and Seek: HIDE Concepts to SEEK explanations for black box models

Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods interpret models using human-understandable concepts. Existing concept-based methods can only interpret classifi...

Bhanu Tokas, Rahul Nair et al. #cs.CV
Prépublication · 2026 arXiv EN

Opening the Black Box: What Neural Networks Learn from Pulsar Timing Array Data

In recent years, simulation-based inference (SBI) methods have been proposed to address several data-analysis challenges faced by existing and planned gravitational-wave experiments. For example, SBI classification has recently been shown to significantly impr...

James Alvey, Andrea Mitridate et al. #astro-ph.IM
Prépublication · 2026 arXiv EN

How assigned AI use before class shapes active student engagement in class

AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores. Comparatively less research addresses whether the use of AI changes students' live learning behaviors in class. Her...

Dan J. Wang, Neelam Modi Jain et al. #cs.HC
Prépublication · 2026 arXiv EN

The Fast Transient Foreground Fog of LSST

Studies with 1-m class telescopes have now established that glints from satellites and space debris are the main obstacles to searches for sub-minute optical transients. Here, we report a study of this foreground using observations from the Legacy Survey of Sp...

G. Megias Homar, S. R. Kulkarni et al. #astro-ph.IM