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Pedro Zuidberg Dos Martires
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2020 – today
- 2024
- [j4]Pedro Zuidberg Dos Martires
, Luc De Raedt, Angelika Kimmig:
Declarative probabilistic logic programming in discrete-continuous domains. Artif. Intell. 337: 104227 (2024) - [j3]Vincent Derkinderen
Semirings for probabilistic and neuro-symbolic logic programming. Int. J. Approx. Reason. 171: 109130 (2024) - [c13]Pedro Zuidberg Dos Martires:
Probabilistic Neural Circuits. AAAI 2024: 17280-17289 - [c12]Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt:
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. AAAI 2024: 20123-20133 - [c11]Gabriele Venturato
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. AAAI 2024: 20567-20576 - [i15]Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt:
Semirings for Probabilistic and Neuro-Symbolic Logic Programming. CoRR abs/2402.13782 (2024) - [i14]Pedro Zuidberg Dos Martires:
Probabilistic Neural Circuits. CoRR abs/2403.06235 (2024) - [i13]Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires:
REvolve: Reward Evolution with Large Language Models for Autonomous Driving. CoRR abs/2406.01309 (2024) - [i12]Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt:
Can Large Language Models Reason? A Characterization via 3-SAT. CoRR abs/2408.07215 (2024) - 2023
- [c10]Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires:
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. NeurIPS 2023 - [c9]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural probabilistic logic programming in discrete-continuous domains. UAI 2023: 529-538 - [i11]Pedro Zuidberg Dos Martires, Luc De Raedt, Angelika Kimmig:
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR abs/2302.10674 (2023) - [i10]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR abs/2303.04660 (2023) - [i9]Vincent Derkinderen, Pedro Zuidberg Dos Martires, Samuel Kolb, Paolo Morettin:
Top-Down Knowledge Compilation for Counting Modulo Theories. CoRR abs/2306.04541 (2023) - [i8]Rishi Hazra
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge. CoRR abs/2308.12682 (2023) - [i7]Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires:
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. CoRR abs/2311.12569 (2023) - 2022
- [c8]Victor Verreet, Vincent Derkinderen
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. AAAI 2022: 10060-10069 - 2021
- [c7]Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini:
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. IJCAI 2021: 4533-4542 - [c6]Pedro Zuidberg Dos Martires:
Neural Semirings. NeSy 2021: 94-103 - [i6]Ivan Miosic, Pedro Zuidberg Dos Martires:
Measure Theoretic Weighted Model Integration. CoRR abs/2103.13901 (2021) - 2020
- [j2]Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring. Frontiers Robotics AI 7: 100 (2020) - [j1]Andreas Persson
Semantic Relational Object Tracking. IEEE Trans. Cogn. Dev. Syst. 12(1): 84-97 (2020) - [c5]Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt
ProbAnch: a Modular Probabilistic Anchoring Framework. IJCAI 2020: 5285-5287 - [c4]Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt:
Ordering Variables for Weighted Model Integration. UAI 2020: 879-888 - [i5]Pedro Zuidberg Dos Martires, Samuel Kolb:
Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. CoRR abs/2001.04566 (2020) - [i4]Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt:
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. CoRR abs/2002.10373 (2020)
2010 – 2019
- 2019
- [c3]Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. AAAI 2019: 7825-7833 - [c2]Samuel Kolb, Paolo Morettin
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI 2019: 6530-6532 - [c1]Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt:
How to Exploit Structure while Solving Weighted Model Integration Problems. UAI 2019: 744-754 - [i3]Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi, Luc De Raedt:
Semantic Relational Object Tracking. CoRR abs/1902.09937 (2019) - [i2]Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti:
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations. CoRR abs/1904.13324 (2019) - 2018
- [i1]Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt:
Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming. CoRR abs/1807.00614 (2018)
Coauthor Index
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