Dashboard

DASHBOARD

Demonstrators:

Experience curated, narrative-driven showcases of TANGO research methods from a host of partners

Latent-Space Exploration

Explore the latent space of an AI model and how its representations shift.

SLIDERS
Method Authors
CNR
TANGO Tasks
T3.1 T2.1
Launch Performance
Visual Reasoning

Find the abstract rule that separates two sets of images.

BONGARD
Method Authors
TUDA
TANGO Tasks
T2.2
Launch Performance
Latent Space Investigation

Interact with and investigate the latent space of AI methods.

TRACE
Method Authors
CNR
TANGO Tasks
T3.1
Launch Performance
Performative Predictions

Explore how a loan model reacts when applicants adapt to its predictions.

PerformativeGYM
Method Authors
BCAM
TANGO Tasks
T2.5 T3.3
Launch Performance
Algorithmic Recourse

Explore fair algorithmic recourse — the cost people pay to reverse a decision.

MISOB
Method Authors
BCAM FBK
TANGO Tasks
T2.5 T3.5 T3.6
Launch Performance
Reasoning Shortcuts

How neuro-symbolic models become aware of their reasoning shortcuts.

BEARS
Method Authors
UNITN UNIPI
TANGO Tasks
T2.2
Launch Performance

Model Explorer

Interact directly with the TANGO API to: select models, create sessions, run predictions and generate explanations!

Model Explorer Workflow
1. Models
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Click Load Models to browse the TANGO API.

2. Sessions
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3. Invocations
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4. Feedback & Result

Run an invocation, fetch its result, then rate it here.

Academic Publications

Browse the academic research and publications generated by the TANGO community.

International Conference on Artificial Intelligence and Statistics (AISTATS) 2024 A
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results

Ainhize Barrainkua, Paula Gordaliza, Jose A Lozano, Novi Quadrianto

BCAM Sussex
Paper Repo
Transactions on Machine Learning Research (TMLR) 2024 journal
Addressing Attribute Bias with Adversarial Support-Matching

Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto

BCAM Sussex
Paper Repo
Proceedings of the HLDM Workshop @ ECML 2024 2025 Workshop
Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto

BCAM Sussex
Paper Repo
IDA 2024- 22nd International Symposium on Intelligent Data Analysis 2024 B
Amplified Contribution Analysis for Federated Learning

Maciej Krzysztof Zuziak, Salvatore Rinzivillo

CNR
Paper Repo
Discovery Science 2024 2024 B
Explainable AI in time sensitive Scenarios: prefetched Offline Explanation Model

Fabio Michele Russo, Carlo Metta, Anna Monreale, Savatore Rinzivillo, and Fabio Pinelli

CNR UNIPI
Paper Repo
EMNLP 2024 A*
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations

Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini

FBK
Paper Repo
AAAI 2025 A*
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca

FBK
Paper Repo
2023
Beyond the Face: Biometrics and Society

Andrej Petrovski, Danilo Krivokapić, Ella Jakubowska, Bojan Perkov, Jelena Adamović, Duje Kozomara, Mila Bajić, Duje Prkut

SHARE Foundation
Paper Repo
Discovery Science 2024 2024 B
L2loRe: a method for explaining the reject option

Clara Punzi, Roberto Pellungrini, Fosca Giannotti

SNS
Paper Repo
2024 IEEE International Conference on Big Data (BigData) 2024 B
One-Shot Clustering for Federated Learning

Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo

SNS CNR
Paper Repo
Discovery Science 2024 2024 B
Ensemble Counterfactual Explanations for Churn Analysis

Samuele Tonati, Roberto Pellungrini, Marzio Di Vece, Fosca Giannotti

SNS UNIPI
Paper Repo
Proceedings of UAI, 2024 2024 A
Pix2Code: Learning to Compose Neural Visual Concepts as Programs

Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting

TUDA
Paper Repo
Proceedings of ICML, 2024 2024 A*
Learning to Intervene on Concept Bottlenecks

David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting

TUDA
Paper Repo
Proceedings of Advances in Neural Information Processing, 2024 2024 A*
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

TUDA
Paper Repo
Proceedings of Sys2-Reasoning Workshop @ NeurIPS 2024 2024 Workshop
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Antonia Wüst, Tim Woydt, Lukas Helff, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

TUDA
Paper Repo
Proceedings of CRL Workshop @ NeurIPS 2024 2024 Workshop
Systems with Switching Causal Relations: A Meta-Causal Perspective

Moritz Willig, Tim Woydt, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting

TUDA
Paper Repo
Advances in Neural Information Processing, 2024 2024 A*
Neural Concept Binder

Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting

TUDA
Paper Repo
International Conference on Learning Representations (ICLR) 2025 A*
Systems with Switching Causal Relations: A Meta-Causal Perspective

Moritz Willig, Tim Woydt, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting

TUDA
Paper Repo
International Journal of Approximate Reasoning 2025 Q2
NeST: The neuro-symbolic transpiler

Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting

TUDA
Paper Repo
Proceedings of ICML, 2025 2025 A*
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Antonia Wüst, Tim Woydt, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

TUDA
Paper Repo
Annual Conference on Neural Information Processing Systems (NeurIPS) 2025 2025 A*
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions

Moritz Willig, Tim Woydt, Devendra Singh Dhami, Kristian Kersting

TUDA
Paper
Foundation of Reasoning in Language Models @ NeurIPS 2025 2025 Workshop
SLR: Automated Synthesis for Scalable Logical Reasoning

Lukas Helff, Ahmad Omar, Felix Friedrich, Antonia Wüst, Hikaru Shindo, Tim Woydt, Rupert Mitchell, Patrick Schramowski, Wolfgang Stammer, Kristian Kersting

TUDA
Paper
Annual Conference on Neural Information Processing Systems (NeurIPS) 2025 2025 A*
Object-Centric Concept Bottlenecks

David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting

TUDA
Paper
arXiv 2025
Fodor and Pylyshyn's Legacy: Still No Human-like Systematic Compositionality in Neural Networks

Tim Woydt, Moritz Willig, Antonia Wüst, Lukas Helff, Wolfgang Stammer, Constantin A Rothkopf, Kristian Kersting

TUDA
Paper
arXiv 2025
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings

Berkant Turan, Suhrab Asadulla, David Steinmann, Kristian Kersting, Wolfgang Stammer, Sebastian Pokutta

TUDA
Paper
Proceedings of ICML, 2025 2025 A*
Where is the Truth? The Risk of Getting Confounded in a Continual World

Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt

TUDA
Paper
Symposium of Intelligent Data Analysis 2024 B
A Frank System for Co-evolutionary Hybrid Decision Making

Federico Mazzoni, Riccardo Guidotti, Alessio Malizia

Unipi
Paper Repo
ECAI 2024 2024 A
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning.

Luca Corbucci, Mikko A Heikkila, David Solans Noguero, Anna Monreale, Nicolas Kourtellis.

UNIPI
Paper Repo
FUZZ 2024: 1-9 2024 B
GLOR-FLEX: Local to Global Rule-based EXplanations for Federated Learning

Rami Haffar, Francesca Naretto, David Sànchez, Anna Monreale, Josep Domingo-Ferrer

UNIPI
Paper Repo
IEEE Access 2024 Q1
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni

UNIPI CNR
Paper Repo
Proceedings of the 21st International Conference on Security and Cryptography 2024 conference
Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection.

Corbucci L. Monreale A. Pellungrini R.

UNIPI SNS
Paper Repo
Accepted at ECMLPKDD 2024/ Springer 2024 A
Interpretable and Fair Mechanisms for Abstaining Classifiers

Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti

UNIPI SNS
Paper Repo
Transactions on Data Privacy 2025 Q2
Evaluating the Privacy Exposure of Interpretable Global and Local Explainers

Francesca Naretto, Anna Monreale, Fosca Giannotti

UNIPI SNS
Paper Repo
NAACL 2024, Clinical NLP Workshop 2024 Workshop
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain

Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini

UNITN
Paper Repo
Proceedings of UAI, 2024 2024 A
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso

UNITN
Paper Repo
Proceedings of the GRaM Workshop @ ICML 2024 2024 Workshop
Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio

UNITN
Paper Repo
Advances in Neural Information Processing, 2024 2024 A*
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

Bortolotti, Samuele; Marconato, Emanuele; Carraro, Tommaso; Morettin, Paolo; van Krieken, Emile; Vergari, Antonio; Teso, Stefano; Passerini, Andrea

UNITN
Paper Repo
FRONTIERS IN ARTIFICIAL INTELLIGENCE 2025 Q2
Fostering effective hybrid human-LLM reasoning and decision making

Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya

UNITN
Paper Repo
Transactions on Machine Learning Research 2025 journal
A Self-Explainable Heterogeneous GNN for Relational Deep Learning

Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

UNITN
Paper Repo
International Conference on Learning Representations (ICLR) 2025 A*
Logically Consistent Language Models via Neuro-Symbolic Integration

Diego Calanzone, Stefano Teso, Antonio Vergari

UNITN
Paper Repo
International Conference on Learning Representations (ICLR) 2025 A*
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs

Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

UNITN
Paper Repo
Journal of Artificial Intelligence Review 2025 Q1
Rethinking and Recomputing the Value of Machine Learning Models

Burcu Sayin, Jie Yang, Xinyue Chen, Andrea Passerini, Fabio Casati

UNITN
Paper Repo
https://www.eitdigital.eu/ 2025 interview
Beyond the black box: creating truly Trustworthy AI in the deep learning era

Interview with Andrea Passerini (interview hosted on the website of EITD)

UNITN
Paper
Transactions on Machine Learning Research (TMLR) 2024 journal
Personalized Algorithmic Recourse with Preference Elicitation

Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini

UNITN FBK
Paper Repo
Proceedings of UMAP, 2024 2024 B
Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration

Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro

UNITN FBK
Paper Repo
Proceedings of COLM, 2024 2024 conference
Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph

Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini

UNITN FBK
Paper Repo
Proceedings of the GRaM Workshop @ ICML 2024 2024 Workshop
A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation

Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini

UNITN FBK
Paper Repo
ACM Computing Surveys 2024 Q1
Explaining the explainers in graph neural networks: A comparative study

Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini

UNITN FBK
Paper Repo
International Conference on Artificial Intelligence and Statistics (AISTATS) 2025 A
A Causal Framework for Evaluating Deferring Systems

Filippo Palomba, Andrea Pugnana, José Alvarez, Salvatore Ruggieri

UNITN UNIPI
Paper Repo
ICLR 2024 Workshop on Reliable and Responsible Foundation Models 2024 Workshop
Towards Logically Consistent Language Models via Probabilistic Reasoning

Diego Calanzone, Stefano Teso, Antonio Vergari

UNITN UofEdinburgh
Paper
SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024 2024 Workshop
Designing for situated AI-human decision making: Lessons learned from a primary care deployment

Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller

UoS
Paper Repo
2025 journal
Dimensions of Human-Machine Combination: Prompting the Development of Deployable Intelligent Decision Systems for Situated Clinical Contexts

Ben Wilson, Chiara Natali, Matt Roach, Darren Scott, Alma Rahat, David Rawlinson & Federico Cabitza

UoS
Paper Repo
Proceedings of the 1st International Workshop on Designing and Building Hybrid Human-AI Systems, co-located with 17th International Conference on Advanced Visual Interfaces (AVI 2024) - CEUR Vol-3701 2024 Workshop
SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024 – Workshop on Designing and Building Hybrid Human-AI Systems, co-located with 17th International Conference on Advanced Visual Interfaces (AVI 2024)

Alan Dix, Matt Roach, Tommaso Turchi, Alessio Malizia, Ben Wilson (editors)

UoS UNIPI
Paper
SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024 2024 Workshop
Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia

UoS UNIPI
Paper Repo
Behavioral and Brain Sciences (Target Article) 2023 journal
Resource-rational contractualism: A triple theory of moral cognition

Sydney Levine, Nick Chater*, Joshua Tenenbaum & Fiery Cushman

UoW
Paper Repo
Cognition 2024 Q1
When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgment

Sydney Levine, Max Kleiman-Weiner, Nick Chater*, Fiery Cushman & Joshua Tenenbaum

UoW
Paper Repo
PLOS ONE 2024 Q1
Conversational technology and reactions to withheld information

Gurney, N., Loewenstein, G. & Chater (in press).

UoW
Paper Repo
Behavioural Public Policy 2024 Q1
An s-frame agenda for public policy research

Daniel Connolly, George Loewenstein and Nick Chater

UoW
Paper Repo
Proceedings of the 46th Annual Meeting of the Cognitive Science Society. 2024 B
Coordination in Dynamic Interactions by Converging on Tacitly Agreed Joint Plans.

Le Pargneux, A., Zeitoun, H., Konstantinidis, E., & Chater, N. (2024).

UoW
Paper Repo
Topics in Cognitive Science 2025 Q1
Hunting for paradoxes: A research strategy for cognitive science

Nick Chater

UoW
Paper Repo
Communications Psychology 2025 journal
Humans and LLMs rate deliberation as superior to intuition on complex reasoning tasks

Wim De Neys & Matthieu Raoelison

UPC
Paper
Computational Brain & Behavior 2026 Q2
Is the “theory-theory” of understanding a mistake? An interactive perspective on knowledge and explanation

Simon Myers, Nick Chater

UoW
Repo
Proceedings of the 48th Annual Meeting of the Cognitive Science Society 2026 B
Argument Evaluation Strategies in Human and Machine Reasoning: LLMs Resemble Sound Deliberate (But Not Intuitive) Thinkers

Nicolas Beauvais & Wim De Neys

UPC