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Pietro Totis
Pietro Totis
Senior Research Associate, AI Research, JP Morgan Chase & Co.
Verified email at jpmorgan.com - Homepage
Title
Cited by
Cited by
Year
SMProbLog: Stable model semantics in ProbLog and its applications in argumentation
P Totis, A Kimmig, L De Raedt
arXiv preprint arXiv:2110.01990, 2021
132021
Mapping probability word problems to executable representations
S Suster, P Fivez, P Totis, A Kimmig, J Davis, L De Raedt, W Daelemans
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
92021
Efficient knowledge compilation beyond weighted model counting
R Kiesel, P Totis, A Kimmig
Theory and Practice of Logic Programming 22 (4), 505-522, 2022
82022
smProbLog: stable model semantics in problog for probabilistic argumentation
P Totis, L De Raedt, A Kimmig
Theory and Practice of Logic Programming 23 (6), 1198-1247, 2023
42023
Lifted reasoning for combinatorial counting
P Totis, J Davis, L De Raedt, A Kimmig
Journal of Artificial Intelligence Research 76, 1-58, 2023
42023
Classifying Italian newspaper text: news or editorial?
P Totis, M Stede
Computational Linguistics CLiC-it 2018, 372, 2018
32018
Understanding ProbLog as Probabilistic Argumentation
F Toni, N Potyka, M Ulbricht, P Totis
arXiv preprint arXiv:2308.15891, 2023
12023
Towards Distributed Computation of Answer Sets.
M De Bortoli, F Igne, F Tardivo, P Totis, A Dovier, E Pontelli
CILC, 316-326, 2019
12019
Declarative Modelling and Reasoning for Combinatorial Problem Solving and Argumentation under Uncertainty
P Totis
2023
Mining Italian Short Argumentative Texts.
I Namor, P Totis, S Garda, M Stede
CLiC-it, 2019
2019
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Articles 1–10