Isaac (Jay) Roberts studied Mathematics & Computer Science (B.Sc) at Washington & Lee University and
Mathematics & Statistics (M.Sc) at Georgetown University. He is now a Ph.D. student in the
Machine Learning Group at the Center for Cognitive Interaction Technology at Bielefeld University. His research interests
include Discriminitive Dimensionality Reduction Methods, Concept Activation Vectors, and Uncertainty in AI.
Roberts J (I), Schulz A, Schröder S, Hermes L, Hammer B (2026) In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers, Part II. Cerrato M, Kalinauskaitė D, Lukoševičius M, Pechenizkiy M, Šutienė K (Eds); Communications in Computer and Information Science. Cham: Springer Nature Switzerland: 82-97.
Roberts I, Schulz A, Schröder S, Hinder F, Hammer B (2026) In: Artificial Neural Networks and Machine Learning – ICANN 2026. 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part IV. Pasa L, Lintas A, Tetko IV, Micheli A, Navarin N, Villa AEP, Tortorella D, Polato M (Eds); Lecture Notes in Computer Science, 17092. Cham: Springer Nature Switzerland: 247-259.