Methods › General › Robust Training › DEQ › Papers where code ran, page 1
Deep Equilibrium Models
DEQ
Papers archive 2025-07-28
archive papers tagged: 42 · with a code link: 27 · where Syntology ran a sample: 12 (9 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (12 of 42 tagged: 9 with a run with no instrument failure, 3 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 12 of the 12 tagged papers where Syntology ran at least one harvested sample (9 with a run with no instrument failure, 3 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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Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models 6 Jun 2024 · 1 repository · arXiv:2406.03794Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 2 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 14 harvested samples) · 14 pointer-only (licence)
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Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures 5 Feb 2024 · 1 repository · arXiv:2402.02697Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 14 harvested samples) · 14 pointer-only (licence)
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One-Step Diffusion Distillation via Deep Equilibrium Models 12 Dec 2023 · 1 repository · arXiv:2401.08639Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
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Deep Equilibrium Diffusion Restoration with Parallel Sampling 20 Nov 2023 · 1 repository · arXiv:2311.11600Syntology official (archive's flag): 20 ran · 20 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 12 where Syntology's instrument failed) · 2 unverified (of 22 harvested samples) · 22 pointer-only (licence)
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TorchDEQ: A Library for Deep Equilibrium Models 28 Oct 2023 · 1 repository · arXiv:2310.18605Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 13 harvested samples)
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Deep Equilibrium Object Detection 18 Aug 2023 · 1 repository · arXiv:2308.09564Syntology 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) · 0 unverified (of 7 harvested samples) · 7 pointer-only (licence)
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Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics 2 Jun 2023 · 1 repository · arXiv:2306.01435Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Efficient Training of Deep Equilibrium Models 23 Apr 2023 · 1 repository · arXiv:2304.11663Syntology official (archive's flag): 5 ran · 5 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; 4 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples) · 2 pointer-only (licence)
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Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models 2 Apr 2023 · 1 repository · arXiv:2304.00600Syntology official (archive's flag): 6 ran · 6 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 5 where Syntology's instrument failed) · 4 unverified (of 10 harvested samples) · 10 pointer-only (licence)
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Deep Equilibrium Approaches to Diffusion Models 23 Oct 2022 · 1 repository · arXiv:2210.12867Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models 1 Jun 2021 · 2 repositories · arXiv:2106.00553Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Deep Equilibrium Models 3 Sep 2019 · 11 repositories · arXiv:1909.01377Syntology community repositories only · 9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 12 harvested samples) · 4 pointer-only (licence)