cv

Postdoctoral research

Eindhoven University of Technology

Postdoctoral researcher within the OpenEuroLLM and ELLIOT projects.

Graduate teaching assistant

Halmstad University

Teaching assistant in the following courses: Introduction to Data Science, Machine Learning, Learning Systems.

Undergraduate research assistant

CosyncLab, Rome

Research assistant during the Master's thesis. Working on the ERC HANDmade Project.

Ph.D.

Halmstad University

• Advancing Meta-Learning for Enhanced Generalization Across Diverse Tasks

M.Sc

Padua University

• ICT for Internet and Multimedia, curricula Life and Health

B.Sc

Padua University

• Information Engineering

CaLLM: Continual Adaptation of LLMs via Non-Parametric Adapter Routing.

Under review at CoLLAs 2026.

Bilge Celik, Anna Vettoruzzo, Joaquin Vanschoren.

Route, Reuse, Repurpose: Continual Adaptation of LLMs with Bounded Adapter Pools.

Continual Adaptation at Scale Workshop (ICML 2026).

Bilge Celik, Anna Vettoruzzo, Joaquin Vanschoren.

TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning.

Under review at NeurIPS 2026.

Yaxuan Kong, Qingren Yao, Yuqi Nie, Yichen Li, Yilei Shao, Stefan Zohren, Anna Vettoruzzo, Joaquin Vanschoren, Ming Jin, Qingsong Wen.

PlaySuite: A Large-Scale Benchmark for Interactive Visual Intelligence.

Under review at NeurIPS 2026.

Dheeraj Varghese*, Anna Vettoruzzo*, Walter Simoncini, Michelle Lorena Acevedo Callejas, Mohammad Mahdi Derakhshani, Kristof Meding, Cees G. M. Snoek, Joaquin Vanschoren.

TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments.

Under review at EMNLP 2026.

Qingren Yao, Yaxuan Kong, Yuqi Nie, Yichen Li, Yilei Shao, Stefan Zohren, Anna Vettoruzzo, Qingsong Wen, Joaquin Vanschoren, Ming Jin.

Efficient Few-Shot Human Activity Recognition via Meta-Learning and Data Augmentation.

Neural Computing and Application.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Unsupervised meta-learning via in-context learning.

International Conference on Learning Representations (ICLR)

Anna Vettoruzzo*, Lorenzo Braccaioli*, Joaquin Vanschoren, Marlena Nowaczyk.

Advancing Meta-Learning for Enhanced Generalization Across Diverse Tasks.

Halmstad University Press.

Anna Vettoruzzo.

Meta-Learning Transformers to Improve In-Context Generalization.

Under review

Lorenzo Braccaioli*, Anna Vettoruzzo, Prabhant Singh, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Nicola Conci.

Personalized Federated Learning with Contextual Modulation and Meta-Learning.

SIAM Conference on Data Mining (SDM)

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Meta-Learning for Efficient Unsupervised Domain Adaptation

Neurocomputing

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Multimodal Meta-Learning through Meta-Learned Task Representations.

Neural Computing and Applications

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Advances and Challenges in Meta-Learning: A Technical Review.

IEEE Transactions on Pattern Analysis & Machine Intelligence

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn Rögnvaldsson, and K. C. Santosh.

Learning to Learn without Forgetting using Attention.

The Third Conference on Lifelong Learning Agents (CoLLAs)

Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters.

International Joint Conference Neural Networks (IJCNN)

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson.

Meta-learning for continual learning

We propose to apply meta-learning to solve CL problems by meta-learning the weights and the hyperparameters of a neural network.