متابعة
Antonio Vergari
Antonio Vergari
Reader (Associate Professor), University of Edinburgh, UK
بريد إلكتروني تم التحقق منه على ed.ac.uk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
From Variational to Deterministic Autoencoders‏
P Ghosh, MSM Sajjadi, A Vergari, M Black, B Schölkopf‏
Proceedings of the Eight International Conference on Learning …, 2020‏
3552020
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning‏
R Peharz, A Vergari, K Stelzner, A Molina, X Shao, M Trapp, K Kersting, ...‏
Proceedings of UAI, 2019‏
171*2019
Probabilistic circuits: A unifying framework for tractable probabilistic models‏
YJ Choi, A Vergari, G Van den Broeck‏
Technical report, 2021‏
144*2021
Mixed sum-product networks: A deep architecture for hybrid domains‏
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting‏
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018‏
1382018
Einsum networks: Fast and scalable learning of tractable probabilistic circuits‏
R Peharz, S Lang, A Vergari, K Stelzner, A Molina, M Trapp, ...‏
International Conference on Machine Learning, 7563-7574, 2020‏
1372020
Simplifying, regularizing and strengthening sum-product network structure learning‏
A Vergari, N Di Mauro, F Esposito‏
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015‏
1292015
Semantic Probabilistic Layers for Neuro-Symbolic Learning‏
K Ahmed, S Teso, KW Chang, GV Broeck, A Vergari‏
NeurIPS 2022, 2022‏
1052022
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference‏
A Vergari, YJ Choi, A Liu, S Teso, G Van den Broeck‏
78*2021
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks‏
A Molina, A Vergari, K Stelzner, R Peharz, P Subramani, N Di Mauro, ...‏
arXiv preprint arXiv:1901.03704, 2019‏
682019
On tractable computation of expected predictions‏
P Khosravi, YJ Choi, Y Liang, A Vergari, G Van den Broeck‏
Advances in Neural Information Processing Systems, 11169-11180, 2019‏
552019
Visualizing and understanding sum-product networks‏
A Vergari, N Di Mauro, F Esposito‏
Machine Learning 108, 551-573, 2019‏
532019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures‏
X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting‏
The 10th International Conference on Probabilistic Graphical Models, 2020‏
502020
Handling Missing Data in Decision Trees: A Probabilistic Approach‏
P Khosravi, A Vergari, YJ Choi, Y Liang, GV Broeck‏
arXiv preprint arXiv:2006.16341, 2020‏
432020
Automatic bayesian density analysis‏
A Vergari, A Molina, R Peharz, Z Ghahramani, K Kersting, I Valera‏
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5207-5215, 2019‏
432019
Strudel: Learning Structured-Decomposable Probabilistic Circuits‏
M Dang, A Vergari, GV Broeck‏
The 10th International Conference on Probabilistic Graphical Models, 2020‏
412020
Probabilistic circuits: Representations, inference, learning and applications‏
A Vergari, YJ Choi, R Peharz, G Van den Broeck‏
AAAI Tutorial, 2020‏
382020
Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts‏
E Marconato, S Teso, A Vergari, A Passerini‏
Advances in Neural Information Processing Systems 36, 72507-72539, 2023‏
362023
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification‏
N Di Mauro, A Vergari, TMA Basile, FG Ventola, F Esposito‏
Proceedings of the ECML/PKDD Discovery Challenges co-located with European …, 2017‏
362017
Juice: A julia package for logic and probabilistic circuits‏
M Dang, P Khosravi, Y Liang, A Vergari, G Van den Broeck‏
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16020 …, 2021‏
352021
Fast and accurate density estimation with extremely randomized cutset networks‏
N Di Mauro, A Vergari, TMA Basile, F Esposito‏
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017‏
292017
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مقالات 1–20