Filippo Maria Bianchi
@FilippoMariaBi1
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Interested in machine learning and statistics for time series and graphs
Tromsø, Norway
Joined July 2019
🔥 Bayesian nonparametrics meets pooling in GNNs! 🔥 This is the first clustering-based pooling method that learns and dynamically adapts the size of the pooled graph to input and downstream task. 📄 paper: 💻 code:
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Just published a new blog on 🎱 Pooling in #GraphNeuralNetworks! 💡Learn the fundamentals through this gentle introduction and discover how they can improve your GNN applications. 👉 Check it out here: #GNN #MachineLearning #AI
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RT @LogConference: Our new featured LoG2024 meetup will be held in the Artic❄️ Tromsø🇳🇴Meetup info: Date-> 27 Nov. 2024 Website-> https://…
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RT @LogConference: 3. Graph Deep Learning for Time Series Processing: Forecasting, Reconstruction, and Analysis by @andreacini1994, @IvanMa…
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🤔 How to interpret spatio-temporal data and deep learning models? 💡In our recent work with Michele Guerra and @s_scardapane we leverage Koopman theory to design an XAI framework for spatio-temporal GNNs. 📄 Preprint: 💻 Code:
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Come to visit me and @IvanMarisca tomorrow at the first poster session (11:30-13:00 - Hall C) as we present our paper #1016! #ICML2024
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RT @IvanMarisca: 🧵 Ready for #ICML2024! This year me and @FilippoMariaBi1 present a method to forecast correlated time series with missing…
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🇫🇷 Next week I'll be in Paris attending #SIAMLA24. I'll give a talk about our recent work on Total Variation Graph Neural Networks, first presented at ICML last year Looking forward to discussions about graphs, machine learning, and optimization!
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It was really a pleasure to be invited at the West Norway University of Applied Science as the opponent for the PhD thesis of Michele Gazzea. Excellent work, both the defendant and his supervisor @RezaArghandeh!
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RT @s_scardapane: *Kolmogorov-Arnold Networks (KANs)* by @ZimingLiu11 et al. Since everyone is talking about KANs, I wrote some notes on N…
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@MushtaqBilalPhD Sure! I tried 10.48550/arXiv.1806.08804 and 10.48550/arXiv.1907.00481. solves them correctly. The second is my own paper and I also tried searching it by giving the title... but no success. I'd love to make a map of graph pooling papers :)
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🎉 The course "Time series analysis with Python" is out! 💡 Dive into a comprehensive introduction to time series analysis, filled with coding examples and exercises. 💻 Gain practical skills and master fundamental techniques. Check it out here:
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👀 Looking for passionate individuals for PhD and Postdoc positions on machine learning for graph and temporal data! 🎓 PhD: 🔬 Postdoc: 📚 Project: #MachineLearning #PhD #Postdoc #ResearchOpportunity
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Check out this new implementation of TCK! 🚀 TCK computes a kernel similarity between multi-variate time series with missing data and can be used for classification, clustering, visualization, etc...
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@cartoonnetwork Can't stop thinking at the countless hours spent on the bed as a kid reading Dragon Ball. Goodbye Tori.
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RT @s_scardapane: Now that recurrent networks are cool again, we repackaged a small library to experiment with reservoir computing for time…
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Through the Arctic MSCA-PF Program ( outstanding candidates will be invited to UiT and receive professional support in applying to the prestigious MSCA postdoctoral fellowship. Contact me if you are interested. More info here:
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RT @nldlconference: NLDL 2024 is approaching and it is still possible to sign up at See you in Tromsø for an excit…
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