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Lorenzo Loconte
Lorenzo Loconte
在 sms.ed.ac.uk 的电子邮件经过验证 - 首页
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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
82024
Deeprob-kit: a python library for deep probabilistic modelling
L Loconte, G Gala
arXiv preprint arXiv:2212.04403, 2022
32022
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
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