Christopher J. Anders

پژوهشگر · Explainable Machine Learning

Technical University of Berlin (TU Berlin)

Germany

معرفی

Dr. Christopher J. Anders is a postdoctoral researcher at RIKEN AIP in Tokyo since 2024, specializing in explainable machine learning and its applications in physical sciences. His work focuses on detecting and mitigating spurious correlations, improving robustness of feature attribution methods, and developing machine learning software.

Education:
- B.Sc. in Computer Science (2016), Technische Universität Berlin
- M.Sc. in Computer Science (2018), Technische Universität Berlin
- Ph.D. in Computer Science (2024), Technische Universität Berlin

His research interests span: adversarial machine learning, deep learning, feature attribution, model understanding, representation learning, and quantum computing. He applies machine learning to lattice field theory and variational quantum eigensolver research.

حوزه‌های پژوهشی

Explainable Machine Learning Spurious Correlations Feature Attribution Methods Machine Learning Software Machine Learning for Physical Sciences Quantum Computing Model Understanding Gaussian Process Regression

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Christopher J. Anders

معرفی

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