Antonio Vergari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility. | Nickil Maveli, Antonio Vergari, Shay B. Cohen |
| 2025 | AAAI | Sum of Squares Circuits. | Lorenzo Loconte, Stefan Mengel, Antonio Vergari |
| 2025 | EMNLP | SEMMA: A Semantic Aware Knowledge Graph Foundation Model. | Arvindh Arun, Sumit Kumar, Mojtaba Nayyeri, Bo Xiong, Ponnurangam Kumaraguru, Antonio Vergari, Steffen Staab |
| 2025 | ICLR | Logically Consistent Language Models via Neuro-Symbolic Integration. | Diego Calanzone, Stefano Teso, Antonio Vergari |
| 2025 | ICML | Is Complex Query Answering Really Complex? | Cosimo Gregucci, Bo Xiong, Daniel Hernndez, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari |
| 2025 | NAACL | What can Large Language Models Capture about Code Functional Equivalence? | Nickil Maveli, Antonio Vergari, Shay B. Cohen |
| 2025 | NeSy | Neurosymbolic Reasoning Shortcuts under the Independence Assumption. | Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari |
| 2025 | UAI | A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction. | Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari |
| 2024 | AAAI | Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification. | Andreas Grivas, Antonio Vergari, Adam Lopez |
| 2024 | ACL | PIXAR: Auto-Regressive Language Modeling in Pixel Space. | Yintao Tai, Xiyang Liao, Alessandro Suglia, Antonio Vergari |
| 2024 | AISTATS | Probabilistic Integral Circuits. | Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur |
| 2024 | ICLR | Subtractive Mixture Models via Squaring: Representation and Learning. | Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari |
| 2024 | ICML | On the Independence Assumption in Neurosymbolic Learning. | Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari |
| 2024 | IJCNN | ChemAlgebra: Algebraic Reasoning on Chemical Reactions. | Andrea Valenti, Davide Bacciu, Antonio Vergari |
| 2024 | UAI | BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. | Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso |
| 2023 | NeSy | Semantic Probabilistic Layers for Neuro-Symbolic Learning. | Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari |
| 2021 | AAAI | Juice: A Julia Package for Logic and Probabilistic Circuits. | Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck |
| 2021 | EACL | An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. | Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon |
| 2021 | UAI | Tractable computation of expected kernels. | Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck |
| 2020 | COLING | Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. | Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon |
| 2020 | ICLR | From Variational to Deterministic Autoencoders. | Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schlkopf |
| 2020 | ICML | Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. | Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani |
| 2020 | ICML | Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. | Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck |
| 2019 | AAAI | Automatic Bayesian Density Analysis. | Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera |
| 2019 | UAI | Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. | Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani |
| 2018 | AAAI | Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. | Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting |
| 2018 | AAAI | Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. | Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito |
| 2017 | ICLR | Encoding and Decoding Representations with Sum- and Max-Product Networks. | Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito |
| 2015 | ISMIS | Learning Bayesian Random Cutset Forests. | Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile |