Methods › General › Stochastic Optimization › Gravity › Papers where code ran, page 1
Gravity
Papers archive 2025-07-28
archive papers tagged: 202 · with a code link: 54 · where Syntology ran a sample: 9 (9 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 (9 of 202 tagged: 9 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 9 of the 9 tagged papers where Syntology ran at least one harvested sample (9 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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Prithvi WxC: Foundation Model for Weather and Climate 20 Sep 2024 · 2 repositories · arXiv:2409.13598Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 16 harvested samples)
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CHARM: Creating Halos with Auto-Regressive Multi-stage networks 13 Sep 2024 · 1 repository · arXiv:2409.09124Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Human mobility is well described by closed-form gravity-like models learned automatically from data 18 Dec 2023 · 2 repositories · arXiv:2312.11281Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 11 harvested samples) · 11 pointer-only (licence)
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DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation 11 Oct 2023 · 1 repository · arXiv:2310.07206Syntology 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) · 3 pointer-only (licence)
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Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models 28 Sep 2023 · 1 repository · arXiv:2309.16316Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning 27 Jul 2023 · 4 repositories · arXiv:2307.14623Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 10 harvested samples) · 10 pointer-only (licence)
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Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes 21 Nov 2022 · 1 repository · arXiv:2211.11744Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction 1 Sep 2022 · 1 repository · arXiv:2209.00225Syntology official (archive's flag): 2 ran · 2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 7 harvested samples)
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On the Learning and Learnability of Quasimetrics 30 Jun 2022 · 2 repositories · arXiv:2206.15478Syntology 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) · 2 unverified (of 5 harvested samples)