Antonio Vergari

A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction UAI 2025 Can interpretability and accuracy coexist in cancer survival analysis? MLHC 2025 Is Complex Query Answering Really Complex? ICML 2025 Logically Consistent Language Models via Neuro-Symbolic Integration ICLR 2025 SEMMA: A Semantic Aware Knowledge Graph Foundation Model EMNLP 2025 Sum of Squares Circuits AAAI 2025 What can Large Language Models Capture about Code Functional Equivalence? NAACL 2025 A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts NeurIPS 2024 BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts UAI 2024 On the Independence Assumption in Neurosymbolic Learning ICML 2024 PIXAR: Auto-Regressive Language Modeling in Pixel Space ACL 2024 Probabilistic Integral Circuits AISTATS 2024 Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NeurIPS 2024 Subtractive Mixture Models via Squaring: Representation and Learning ICLR 2024 Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification AAAI 2024 How to Turn Your Knowledge Graph Embeddings into Generative Models NeurIPS 2023 Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS 2023 Semantic Probabilistic Layers for Neuro-Symbolic Learning NeurIPS 2022 A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference NeurIPS 2021 An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games EACL 2021 Juice: A Julia Package for Logic and Probabilistic Circuits AAAI 2021 Tractable computation of expected kernels UAI 2021 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits ICML 2020 From Variational to Deterministic Autoencoders ICLR 2020 Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games COLING 2020 Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations NeurIPS 2020 Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020 Automatic Bayesian Density Analysis AAAI 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning UAI 2019 Multi-Label Classification with Cutset Networks PGM 2016