Relaxation dynamics of maximally clustered networks. - Janis Klaise; Samuel Johnson (CoRR, 2017)

ConBO: Conditional Bayesian Optimization. - Michael Pearce; Janis Klaise; Matthew J. Groves (CoRR, 2020)

Monitoring and explainability of models in production. - Janis Klaise; Arnaud Van Looveren; Clive Cox; Giovanni Vacanti; Alexandru Coca (CoRR, 2020)

Interpretable Counterfactual Explanations Guided by Prototypes. - Arnaud Van Looveren; Janis Klaise (ECML/PKDD (2), 2021)

Conditional Generative Models for Counterfactual Explanations. - Arnaud Van Looveren; Janis Klaise; Giovanni Vacanti; Oliver Cobb (CoRR, 2021)

Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning. - Robert-Florian Samoilescu; Arnaud Van Looveren; Janis Klaise (CoRR, 2021)

Alibi Explain: Algorithms for Explaining Machine Learning Models. - Janis Klaise; Arnaud Van Looveren; Giovanni Vacanti; Alexandru Coca (J. Mach. Learn. Res., 2021)

Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates. - Oliver Cobb; Arnaud Van Looveren; Janis Klaise (AISTATS, 2022)