Reducing Pretrained Representation Degradation in Parameter-Efficient Continual Learning
Co-authored
MSc Student in Machine Intelligence
ETH Zurich
I'm currently pursuing an MSc in Computer Science at ETH Zurich, specialising in Machine Intelligence. I hold a BSc in Artificial Intelligence from the Universitat Politècnica de Catalunya (UPC), including an exchange semester at the Technical University of Munich (TUM).
My research experience at the Computer Vision Center (CVC) has focused on multimodal machine unlearning and continual learning for pretrained vision models. I'm the first author of SALMUBench (CVPR 2026, main conference), and my Bachelor's thesis explored parameter-efficient continual learning and the preservation of pretrained model capabilities.
I'm particularly interested in foundation models, continual and lifelong learning, and computer vision, with growing interests in world models, spatial intelligence, and robot learning.
Research
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Co-authored
Cai Selvas-Sala, Lei Kang, Lluis Gomez
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