6 citations · 10 across the 7 of their papers we have counts for
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cs.LG2026
ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations
Ricardo Knauer, Andre Beinrucker, Erik Rodner
Neural networks deliver impressive predictive performance across a variety of tasks, but they are often opaque in their decision-making processes. Despite a growing interest in mec…
cs.LG2026★ 2 cited
Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design
Oksana Kolomenko, Ricardo Knauer, Erik Rodner
Embeddings are a powerful way to enrich data-driven machine learning models with the world knowledge of large language models (LLMs). Yet, there is limited evidence on how to desig…
cs.LG2026
In Search of Grandmother Cells: Tracing Interpretable Neurons in Tabular Representations
Ricardo Knauer, Erik Rodner
Foundation models are powerful yet often opaque in their decision-making. A topic of continued interest in both neuroscience and artificial intelligence is whether some neurons beh…