andrea passerini (@andrea_whatever) 's Twitter Profile
andrea passerini

@andrea_whatever

I am Associate professor at the Computer Science Department of the University of Trento, where I lead the Structured Machine Learning group.

ID: 1363799338368045056

calendar_today22-02-2021 10:35:21

100 Tweet

411 Followers

215 Following

Emanuele Marconato (@ema_marconato) 's Twitter Profile Photo

Using Neuro-Symbolic AI can boost the prediction accuracy... but are you learning the right concepts? 🤖 The answer is very tricky, but it is "no" in general 😱 Introducing our latest paper, accepted at #NeurIPS2023! With antonio vergari ⚔️ not at #ICLR2025, andrea passerini, and Stefano Teso.

Giovanni De Toni (@giovanni_detoni) 's Twitter Profile Photo

How can we better personalize Algorithmic Recourse recommendations? ✨ In our latest TMLR (Transactions on Machine Learning Research) paper, we show PEAR, the first human-in-the-loop approach for customizing recourse suggestions to any user. 👉openreview.net/forum?id=8sg2I… Stefano Teso andrea passerini Bruno Lepri

Emanuele Marconato (@ema_marconato) 's Twitter Profile Photo

When is a high-level concept, like “pedestrian”, human-interpretable? We have a causal answer for you🚀 Interpretability is in the mind of the beholder: a Causal Framework for Human-Interpretable Representation Learning Published Entropy MDPI, Stefano Teso andrea passerini

When is a high-level concept, like “pedestrian”, human-interpretable?
We have a causal answer for you🚀

Interpretability is in the mind of the beholder: a Causal Framework for Human-Interpretable Representation Learning

Published <a href="/Entropy_MDPI/">Entropy MDPI</a>, <a href="/looselycorrect/">Stefano Teso</a> <a href="/andrea_whatever/">andrea passerini</a>
TANGO (@tango_horizon) 's Twitter Profile Photo

CALL FOR PAPERS! By June 15th, apply for the HLDM'24, the Second Workshop on Hybrid Human-Machine Learning &Decision Making. September 9 or 13th, 2024 in Vilnius, Lithuania. Organised by TANGO partners, Università di Trento Università di Pisa & University of Sussex More details at: lnkd.in/eFDhc4sc

CALL FOR PAPERS!
By June 15th, apply for the HLDM'24, the Second Workshop on Hybrid Human-Machine Learning &amp;Decision Making. September 9 or 13th, 2024 in Vilnius, Lithuania. Organised by TANGO partners, <a href="/UniTrento/">Università di Trento</a>  <a href="/Unipisa/">Università di Pisa</a> &amp; <a href="/SussexUni/">University of Sussex</a> More details at: lnkd.in/eFDhc4sc
TANGO (@tango_horizon) 's Twitter Profile Photo

Andrea Passerini of Università di Trento, our #TANGO_Project partner, is co-organising a workshop on Hybrid Human-Machine Interaction in Surgery at the Hamlyn Symposium in collab with prof. Marco A. Zenati, Professor of Surgery of Harvard Medical School. More details at: hamlynsymposium.org/events/hybrid-…

Andrea Passerini of <a href="/UniTrento/">Università di Trento</a>, our #TANGO_Project partner, is co-organising a workshop on Hybrid Human-Machine Interaction in Surgery at the Hamlyn Symposium in collab with prof. Marco A. Zenati, Professor of Surgery of <a href="/harvardmed/">Harvard Medical School</a>. More details at:
hamlynsymposium.org/events/hybrid-…
Burcu Sayin (@sayinburcu) 's Twitter Profile Photo

📣 Call for Papers: The 2nd Workshop on Hybrid Human-Machine Learning & Decision Making (HLDM’24). 🗓️ Deadline: June 15, 2024. 🌟 Confirmed Keynotes: Prof. Nick Chater, Prof. Zeynep Akata, and Prof. nuriaoliver 🔗 Website: sml.disi.unitn.it/hldm24.html

Burcu Sayin (@sayinburcu) 's Twitter Profile Photo

🚨 Reminder! 🚨 Submit your papers to the HLDM'24 Workshop by June 15, 2024! This workshop will dive into the synergy between human and AI, aiming to enhance decision-making processes. See you at ECML PKDD in Vilnius! 📄 More info: sml.disi.unitn.it/hldm24.html #MachineLearning #AI

Caterina Graziani (@cate_graz) 's Twitter Profile Photo

We are glad to announce that the Learning on Graphs Conference 2025 Italian meet-up will be hosted in Siena! 🇮🇹✨️ 🗓️ Join us from December 4th to 6th. 🔜 Registration will open soon! 👉 For more information visit our website : sites.google.com/u/0/d/1XCyjW-u… #log #graphs #graphlearning #ml #siena #gnn

IDEAS NCBR (@ideas_ncbr) 's Twitter Profile Photo

💬How to bridge the gap between accuracy and interpretability in AI? 🛤️Join #xai2025 for special track on intrinsically interpretable AI with andrea passerini Christin Seifert @[email protected] Bartosz Zielinski Dawid Khawla Elhadri ➡️ xaiworldconference.com/2025/intrinsic…

💬How to bridge the gap between accuracy and interpretability in AI?
🛤️Join #xai2025 for special track on intrinsically interpretable AI with <a href="/andrea_whatever/">andrea passerini</a> <a href="/SeifertChristin/">Christin Seifert @cseifert@fosstodon.org</a> <a href="/BartosZielinski/">Bartosz Zielinski</a> <a href="/ddjrym/">Dawid</a> Khawla Elhadri ➡️ xaiworldconference.com/2025/intrinsic…
Steve Azzolin (@steveazzolin) 's Twitter Profile Photo

Faithfulness of GNN explanations isn’t one-size-fits-all🧢 Our last ICLR 2026 paper breaks it down across: 1. Evaluation metrics 2. Model implementations 3. OOD generalisation w: Antonio Longa Stefano Teso andrea passerini 1/5

Faithfulness of GNN explanations isn’t one-size-fits-all🧢
Our last <a href="/iclr_conf/">ICLR 2026</a> paper breaks it down across:

1. Evaluation metrics
2. Model implementations
3. OOD generalisation

w: <a href="/AntonioLonga94/">Antonio Longa</a> <a href="/looselycorrect/">Stefano Teso</a> <a href="/andrea_whatever/">andrea passerini</a> 

1/5
Burcu Sayin (@sayinburcu) 's Twitter Profile Photo

🚨 Deadline extended! 🚨 Submit to HLDM'25 (Hybrid Human-Machine Learning & Decision Making) Workshop @ ECML-PKDD by June 21, 2025! 📄 Short, regular & non-archival papers welcome! Check our website: sml.disi.unitn.it/hldm25.html andrea passerini TANGO #AI #ML

Stefano Teso (@looselycorrect) 's Twitter Profile Photo

If you are at #ICML2025 - well, enjoy Vancouver! If in addition you are into #XAI and often ponder what it takes to make #GNNs interpretable, have a chat with Steve Azzolin and Sagar at our poster! (Spoiler: it's more difficult than you might expect.)