mtiezzi.bsky.social
PostDoc Researcher @ IIT, Continual and Lifelong Learning -> Robots, Graph Neural Networks, Sequence Processing | CoLLAs 2024 Local Chair 🏠 mtiezzi.github.io
👤 Joined on 29 November 2024
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@mtiezzi.bsky.social🌟 Best of Both Worlds! ❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs! Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.
Show PostHow does the brain avoid ‘catastrophic forgetting’, the distortion and overwriting of old memories when new ones are created? New clues emerged through a cool method called optogenetics. The insights could inspire solutions to help AI overcome similar challenges. @nature.com 🔗: shorturl.at/mU9GV
Show Post🖥️🦾 We are pleased to announce that our paper "Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning" has been published in the November 2024 issue of the IEEE Robotics and Automation Letters.
Show PostAfter reading over more NeruIPS papers from this year, one developing realization is that deep #reinforcementlearning may be suffering from a far greater continual learning problem than expected. How much experience is ignored because the model does not have the plasticity to compress new data?
Show Post🚀Calling ML on Graphs Enthusiasts! I'm co-organizign a Competition on Learning with Noisy Graph Labels at IJCNN 2025. Submissions are now open sites.google.com/view/learnin... Submission Deadline: 10/02/2025 We can’t wait to see your creative approaches and groundbreaking ideas.✨
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