Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Soft-Unification in Deep Probabilistic Logic

Authors: Jaron Maene, Luc De Raedt

NeurIPS 2023 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Our experiments demonstrate that Deep Soft Log can outperform the state-of-the-art on neuro-symbolic benchmarks, highlighting the benefits of these properties.
Researcher Affiliation Academia Jaron Maene KU Leuven EMAIL Luc De Raedt KU Leuven & Γ–rebro University EMAIL
Pseudocode Yes Algorithm 1 Soft-unification
Open Source Code Yes All code is available on https://github.com/jjcmoon/DeepSoftLog.
Open Datasets Yes For the full experimental setup, we refer to previous work [26, 29]."; "We use the same experimental setup and neural network as previous works, to which we refer for more details [22]."; "As an example, consider the regular language (01) represented by MNIST images.
Dataset Splits Yes For the full experimental setup, we refer to previous work [26, 29]."; "We use the same experimental setup and neural network as previous works, to which we refer for more details [22]."; "We train on sequences of lengths up to 4 and test the generalization by evaluating on sequences of length 8 with images not seen during training."; "We averaged the results over the other 10 splits.
Hardware Specification Yes We ran the experiments on CPU (Intel Core i7-2600 CPU @ 3.40GHz) with 16GB of RAM."; "We ran all experiments on a single CPU (Apple M2)."; "We ran all experiments on CPU (Intel(R) Xeon(R) CPU E3-1225 v3 @ 3.20GHz).
Software Dependencies No The paper mentions using the "gradient semiring of algebraic Prob Log" and the "Adam W optimizer" but does not provide specific software dependencies with version numbers.
Experiment Setup Yes Hyperparameters are summarized in table 5."; "Hyperparameters are summarized in table 6."; "Hyperparameters are summarized in table 7."; "Hyperparameters for the visual sudoku experiment are in table 9.