Antonio Vergari
Orcid: 0000-0003-0036-5678Affiliations:
- University of Edinburgh, UK
According to our database1,
Antonio Vergari
authored at least 54 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning.
CoRR, 2023
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks.
CoRR, 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits.
CoRR, 2023
CoRR, 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
2022
Int. J. Approx. Reason., 2022
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits.
Int. J. Approx. Reason., 2022
Dagstuhl Reports, 2022
CoRR, 2022
2021
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
J. Intell. Inf. Syst., 2019
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing.
CoRR, 2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.
CoRR, 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Intelligenza Artificiale, 2018
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification.
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017
2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015
Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015