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cs.LG2026
SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks
Adrian Robert Minut, Nico Daheim, Marco Miani +3
Structured weight-uncertainty can improve many aspects of deep learning, but it remains costly to estimate and difficult to implement. Here, we show that these issues can be addres…
cs.LG2026
Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior
Christopher J. Anders, Henrique Da Silva Gameiro, Nico Daheim +1
One way to understand LLM behavior is to trace its output back to the training data. Two types of measures are commonly used for output tracing: data-similarity and data-influence.…