Pedro Zuidberg Dos Martires

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Logic Programming

Continuous Domains

Probabilistic Logic

Top Venues

Publications

Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. AAAI (2024)
Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires
REvolve: Reward Evolution with Large Language Models for Autonomous Driving. CoRR (2024)
Pedro Zuidberg Dos Martires
Probabilistic Neural Circuits. AAAI (2024)
Pedro Zuidberg Dos Martires
Probabilistic Neural Circuits. CoRR (2024)
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
Semirings for Probabilistic and Neuro-Symbolic Logic Programming. CoRR (2024)
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
Semirings for probabilistic and neuro-symbolic logic programming. Int. J. Approx. Reason. 171 (2024)
Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. AAAI (2024)
Pedro Zuidberg Dos Martires, Luc De Raedt, Angelika Kimmig
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR (2023)
Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge. CoRR (2023)
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 (2023)
Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. CoRR (2023)
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)
Vincent Derkinderen, Pedro Zuidberg Dos Martires, Samuel Kolb, Paolo Morettin
Top-Down Knowledge Compilation for Counting Modulo Theories. CoRR (2023)
Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. NeurIPS (2023)
Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. AAAI (2022)
Pedro Zuidberg Dos Martires
Neural Semirings. NeSy (2021)
Ivan Miosic, Pedro Zuidberg Dos Martires
Measure Theoretic Weighted Model Integration. CoRR (2021)
Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. IJCAI (2021)
Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt
Ordering Variables for Weighted Model Integration. UAI (2020)
Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi
Semantic Relational Object Tracking. IEEE Trans. Cogn. Dev. Syst. 12 (1) (2020)
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 (2020)
Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. CoRR (2020)
Pedro Zuidberg Dos Martires, Samuel Kolb
Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. CoRR (2020)
Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi
ProbAnch: a Modular Probabilistic Anchoring Framework. IJCAI (2020)
Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt
How to Exploit Structure while Solving Weighted Model Integration Problems. UAI (2019)
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 (2019)
Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi, Luc De Raedt
Semantic Relational Object Tracking. CoRR (2019)
Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. AAAI (2019)
Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI (2019)
Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt
Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming. CoRR (2018)