paolo b
@paolo_bajardi
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Interdisciplinary Scientist and Manager of Research
turin, italy
Joined April 2009
It took a pandemic to bring me on twitter. Hope not to join Instagram soon.
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RT @Atsushi_Miyauci: Honored to be selected as one of the Top Reviewers for #ICML2025 and to receive a complimentary registration! Not just….
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RT @net_science: Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
arxiv.org
Agent-Based Models (ABMs) are powerful tools for studying emergent properties in complex systems. In ABMs, agent behaviors are governed by local interactions and stochastic rules. However, these...
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RT @andreasantor0: Excited to be one of the #MSCA awardees! I'll continue my work at @CentaiInstitute in Turin with @NPLab_ and @lordgrilo….
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RT @lordgrilo: I am extremely honoured to receive the @ERC_Research #ERCCoG award for #RUNES. For the next five years, I will be working on….
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RT @ail_eni: Happy to announce our paper 🐻❄️"Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity….
arxiv.org
We introduce Polaris, a network null model for colored multi-graphs that preserves the Joint Color Matrix. Polaris is specifically designed for studying network polarization, where vertices belong...
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RT @yuko_kuroki_cs: Our paper 'Query-Efficient Correlation Clustering with Noisy Oracle,' has been accepted at #NeurIPS2024! Sincere thanks….
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RT @andreasantor0: After 3.5 great years at EPFL, I'm excited to share that I've joined @CentaiInstitute as a research scientist! 🎉 After n….
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RT @LoreBetti: New preprint out! 🎉. We measured how gender affects moral judgments using data from r/AITA on Reddit. We did this by identif….
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RT @FrancescoBonchi: Excited to kick-off #KDD2024 ( on Sunday and super proud to be General Chair (together with @P….
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RT @random_walker: In a new AI Snake Oil essay by me and @sayashk, we do a deep dive into AI existential risk probability estimates. We fin….
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RT @FrancescoBonchi: Giving a keynote about Algorithmic Fairness today at The 5th ACM Summer School on #DataScience in #Athens
https://t.co….
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RT @ail_eni: "Higher-order null models as a lens for social systems" accepted for publication in PRX!. We unveil new insights into the dyna….
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RT @officiallydac: I am thrilled to share that ‘Learning Multi-Frequency Partial Correlation Graphs’ has just been published through @IEEEX….
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RT @FraPaNerini: If you are attending #FAccT2024 🇧🇷 and are interested in evaluating of networked data in a collaboration setting, come see….
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RT @TmlrPub: A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Pani….
openreview.net
Regulators, researchers, and practitioners recognize the urgency of explainability in artificial intelligence systems, including the ones based on machine learning for graph-structured data....
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RT @FrancescoBonchi: #proudadvisor moment 📢Today my two great PhD students @Carlo_Abrate (Counterfactuals) and Gabriele D'Acunto (Causalit….
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RT @lordgrilo: Latest @ProjectCETI paper (with @leitalhao @maximelca @simonepoetto @taylorahersh @sgero @mmbronstein) on the subcoda struc….
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RT @FabioVi12599694: 📢Congrats to Gabriele D'Acunto for his paper "Learning Multi-Frequency Partial Correlation Graphs" accepted in IEEE TS….
arxiv.org
Despite the large research effort devoted to learning dependencies between time series, the state of the art still faces a major limitation: existing methods learn partial correlations but fail to...
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