3 citations · 6 across the 12 of their papers we have counts for
13 papers
Where Decoder Cosine Similarity Fails for SAE Feature Flow Discovery
Hendrik Droste, Christian Medeiros Adriano, Kathrin Korte +1
Foundation models are increasingly adapted through fine-tuning, model editing, and alignment procedures while retaining previously acquired capabilities. Understanding the internal…
Interference-Aware Cross-Application Placement: A Multi-Objective Optimization Approach for Microservice Clusters
Iqra Zafar, Christian Medeiros Adriano, Holger Giese
In modern cloud architectures, multiple applications often run within the same clustered environment, sharing underlying resources. This resource sharing can cause interference amo…
Dimensionality Controls When Modularity Helps in Continual Learning
Kathrin Korte, Christian Medeiros Adriano, Joachim Winther Pedersen +2
Compositional learning systems must balance plasticity, the ability to acquire new knowledge, with stability, the preservation of previously learned components, especially when tas…
From Observation to Intervention: A Causal Audit of Expert Importance in Mixture-of-Experts Models
Leonard Engmann, Christian Medeiros Adriano, Holger Giese
Interpretability methods routinely use population-level summary statistics over observed model behaviour to license claims about the effects of targeted interventions on specific c…
CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
Jan-Niklas Klein, Sona Ghahremani, Christian Medeiros Adriano +1
Rovers rely on perception to maintain spatial maps that encode both objects and sensor quality (e.g., range reliability, lighting artifacts, data density), guiding data fusion, emb…
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge
Julius Porbeck, Christian Medeiros Adriano, Holger Giese
Large language model (LLM)-based debugging systems can generate failure explanations, but these explanations may be incomplete or incorrect. Misleading explanations are harmful for…