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Deep Models and Optimization Safety- and Efficiency- aligned Learning

Niccolò Ajroldi

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Niccolò is a Research Engineer supporting various projects in the Safety & Efficiency-aligned Learning and Deep Models and Optimization groups. His research focuses on improving understanding of optimization algorithms for neural network training, and making existing methods more robust and efficient. He holds a Master of Science in Mathematical Engineering from Polytechnic of Milan and joined ELLIS after an AI Residency Program at Meta AI. Email: niccolo at tue.ellis.eu
ELLIS Institute Tübingen gGmbH

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RESEARCH GROUPS AI & Mechanisms AI Safety and Alignment Algorithms and Society AutoML Computational Applied Mathematics & AI Lab Cooperative Machine Intelligence for People-Aligned Safe Systems Deep Models and Optimization Machine Learning in Science Robust Machine Learning Safety- and Efficiency- aligned Learning Science and Probabilistic Intelligence Wild, Efficient, and Innovative AI

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