> For the complete documentation index, see [llms.txt](https://www.andreacossu.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.andreacossu.com/talks.md).

# Talks

### Selected Talks

* April 2025: Incontra Informatica (in Italian), **L'intelligenza artificiale nel browser: chi progetterà la miglior rete neurale?**

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* September 2024: **Alternatives to backpropagation training of deep neural networks,** Summer school "Advances in Artificial Intelligence" by AIxIA association (Villa del Grumello, Lake Como).
* March 2024: **Continual Learning: Machine Learning on non-stationary data streams,** University of Plymouth

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* May 2023: **Continual Pre-Training Mitigates Forgetting in Language and Vision,** [EfficientML Seminar](https://sites.google.com/view/efficientml/home).
* March 2023: **Beyond Forgetting with Continual Pre-Training,** Deep Continual Learning Dagstuhl Seminar, Dagstuhl, Germany.

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* May 2022: **Continual Learning: from zero to hero**, University of Verona, Computer Science Department. \
  [Colab Notebook on catastrophic forgetting with one neuron](https://colab.research.google.com/drive/1SJf2sr22LvTYDWoV7MUniOlz99X0VM2n?usp=sharing)\
  [Colab Notebook on Continual Learning with Avalanche](https://colab.research.google.com/drive/1wyqRSHQiFHRlc4PkWQzk9bX0-N5qy6hj?usp=sharing)

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* ESANN 2021, Oral: **Continual Learning with Echo State Networks**. 

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* Neural Networks, 2021: **Continual learning for recurrent neural networks: An empirical evaluation**

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* Frontiers in Artificial Intelligence: **Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification**

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