| Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation P Zuidberg Dos Martires, A Dries, L De Raedt Proceedings of the 30th Conference on Artificial Intelligence, 2019 | 58* | 2019 |
| Semantic relational object tracking A Persson, PZ Dos Martires, L De Raedt, A Loutfi IEEE Transactions on Cognitive and Developmental Systems 12 (1), 84-97, 2019 | 32 | 2019 |
| How to Exploit Structure while Solving Weighted Model Integration Problems S Kolb, P Zuidberg Dos Martires, L De Raedt UAI 2019 Proceedings, 2019 | 19 | 2019 |
| Symbolic learning and reasoning with noisy data for probabilistic anchoring P Zuidberg Dos Martires, N Kumar, A Persson, A Loutfi, L De Raedt Frontiers in Robotics and AI 7, 100, 2020 | 16 | 2020 |
| Saycanpay: Heuristic planning with large language models using learnable domain knowledge R Hazra, PZ Dos Martires, L De Raedt Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20123 …, 2024 | 14 | 2024 |
| The pywmi framework and toolbox for probabilistic inference using weighted model integration S Kolb, P Morettin, P Zuidberg Dos Martires, F Sommavilla, A Passerini, ... https://www. ijcai. org/proceedings/2019/, 2019 | 13 | 2019 |
| Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming P Zuidberg Dos Martires, A Dries, L De Raedt arXiv preprint arXiv:1807.00614, 2018 | 12 | 2018 |
| Hybrid probabilistic inference with logical and algebraic constraints: a survey P Morettin, P Zuidberg Dos Martires, S Kolb, A Passerini IJCAI, 4533-4542, 2021 | 10 | 2021 |
| Neural probabilistic logic programming in discrete-continuous domains L De Smet, PZ Dos Martires, R Manhaeve, G Marra, A Kimmig, ... Uncertainty in Artificial Intelligence, 529-538, 2023 | 7 | 2023 |
| Inference and learning with model uncertainty in probabilistic logic programs V Verreet, V Derkinderen, PZ Dos Martires, L De Raedt Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10060 …, 2022 | 6 | 2022 |
| Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning P Zuidberg Dos Martires, V Derkinderen, R Manhaeve, W Meert, ... | 6 | 2019 |
| Differentiable sampling of categorical distributions using the catlog-derivative trick L De Smet, E Sansone, P Zuidberg Dos Martires Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Semirings for probabilistic and neuro-symbolic logic programming V Derkinderen, R Manhaeve, PZ Dos Martires, L De Raedt International Journal of Approximate Reasoning, 109130, 2024 | 5 | 2024 |
| Ordering Variables for Weighted Model Integration V Derkinderen, E Heylen, P Zuidberg Dos Martires, S Kolb, L Raedt Conference on Uncertainty in Artificial Intelligence, 879-888, 2020 | 5 | 2020 |
| Declarative probabilistic logic programming in discrete-continuous domains PZD Martires, L De Raedt, A Kimmig arXiv preprint arXiv:2302.10674, 2023 | 4 | 2023 |
| Neural Semirings. PZ Dos Martires NeSy, 94-103, 2021 | 4 | 2021 |
| Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations OA Can, P Zuidberg Dos Martires, A Persson, J Gaal, A Loutfi, L De Raedt, ... arXiv preprint arXiv:1904.13324, 2019 | 4 | 2019 |
| Relational symbol grounding through affordance learning: An overview of the reground project L Antanas, OA Can, J Davis, L De Raedt, A Loutfi, A Persson, A Saffiotti, ... International Workshop on Grounding Language Understanding (GLU). Stockholm …, 2017 | 4 | 2017 |
| PROBANCH: a Modular Probabilistic Anchoring Framework A Persson, P Zuidberg Dos Martires, L De Raedt, A Loutfi | 3 | 2020 |
| Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration P Zuidberg Dos Martires, S Kolb arXiv preprint arXiv:2001.04566, 2020 | 3 | 2020 |
