collaborators

7 papers

cs.DC2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.RO2026

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…

cs.SE2026

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…

cs.LO2026

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani +1

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacki…