How to turn your knowledge graph embeddings into generative models L Loconte, N Di Mauro, R Peharz, A Vergari Advances in Neural Information Processing Systems 36, 2024 | 9* | 2024 |
Subtractive Mixture Models via Squaring: Representation and Learning L Loconte, AM Sladek, S Mengel, M Trapp, A Solin, N Gillis, A Vergari International Conference on Learning Representations 12, 2024 | 8 | 2024 |
Deeprob-kit: a python library for deep probabilistic modelling L Loconte, G Gala arXiv preprint arXiv:2212.04403, 2022 | 3 | 2022 |
Is Complex Query Answering Really Complex? C Gregucci, B Xiong, D Hernandez, L Loconte, P Minervini, S Staab, ... arXiv preprint arXiv:2410.12537, 2024 | | 2024 |
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? L Loconte, A Mari, G Gala, R Peharz, C de Campos, E Quaeghebeur, ... arXiv preprint arXiv:2409.07953, 2024 | | 2024 |
Sum of squares circuits L Loconte, S Mengel, A Vergari arXiv preprint arXiv:2408.11778, 2024 | | 2024 |
Negative Mixture Models via Squaring L Loconte, S Mengel, N Gillis, A Vergari 6th UAI Workshop on Tractable Probabilistic Modeling, 2023 | | 2023 |
Your Knowledge Graph Embeddings are Secretly Circuits and You Should Treat Them as Such L Loconte, N Di Mauro, R Peharz, A Vergari The 5th Workshop on Tractable Probabilistic Modeling, 2023 | | 2023 |