I am an assistant professor (RTD-A in Italy) at University of Pisa.
My research focuses on Continual Learning, with applications to Recurrent Neural Networks models and sequential data processing.
Highlights
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ContinualAI/avalanche
ContinualAI/avalanche PublicAvalanche: an End-to-End Library for Continual Learning based on PyTorch.
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ContinualLearning-SequentialProcessing
ContinualLearning-SequentialProcessing PublicContinual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.
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Pervasive-AI-Lab/ContinualLearning-EchoStateNetworks
Pervasive-AI-Lab/ContinualLearning-EchoStateNetworks PublicContinual Learning with Echo State Networks experiments
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Relation-Network-PyTorch
Relation-Network-PyTorch PublicImplementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028
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ContinualAI/continual-learning-papers
ContinualAI/continual-learning-papers PublicContinual Learning papers list, curated by ContinualAI
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ContinualAI/continual-learning-baselines
ContinualAI/continual-learning-baselines PublicContinual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
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