Methods › General › Regularization › PGM › Papers where code ran, page 1
Probability Guided Maxout
PGM
Papers archive 2025-07-28
archive papers tagged: 63 · with a code link: 19 · where Syntology ran a sample: 7 (7 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (7 of 63 tagged: 7 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 7 of the 7 tagged papers where Syntology ran at least one harvested sample (7 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Partition Generative Modeling: Masked Modeling Without Masks 24 May 2025 · 1 repository · arXiv:2505.18883Syntology official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 14 harvested samples) · 12 pointer-only (licence)
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MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration 14 Nov 2023 · 1 repository · arXiv:2311.08562Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Delta-AI: Local objectives for amortized inference in sparse graphical models 3 Oct 2023 · 1 repository · arXiv:2310.02423Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models 27 May 2023 · 1 repository · arXiv:2305.17583Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 7 harvested samples)
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Effective Abstract Reasoning with Dual-Contrast Network 27 May 2022 · 1 repository · arXiv:2205.13720Syntology official (archive's flag): 5 ran · 5 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 7 harvested samples) · 7 pointer-only (licence)
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The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning 8 Jul 2020 · 3 repositories · arXiv:2007.04212Syntology official (archive's flag): 3 ran · 5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 3 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 2 pointer-only (licence)
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Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables 11 Jun 2020 · 1 repository · arXiv:2006.06803Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples)