VASSO: Variance Suppression for Sharpness-Aware Minimization | Paper Citation Record

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

VASSO: Variance Suppression for Sharpness-Aware Minimization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

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Observation 12ecec1b-0cb4-4e8a-bdd9-2f157cb63a26 · outbound

This paper cites Language models are few-shot learners,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Language models are few-shot learners,

Reference 2

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This paper cites Understanding deep learning (still) requires rethinking gen- eralization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Understanding deep learning (still) requires rethinking gen- eralization,

Reference 3

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This paper cites Dropout: a simple way to prevent neural networks from overfitting,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Dropout: a simple way to prevent neural networks from overfitting,

Reference 4

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This paper cites When vision transform- ers outperform resnets without pre-training or strong data augmentations,.

VASSO: Variance Suppression for Sharpness-Aware Minimization When vision transform- ers outperform resnets without pre-training or strong data augmentations,

Reference 5

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This paper cites The marginal value of adaptive gradient methods in machine learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization The marginal value of adaptive gradient methods in machine learning

Reference 6

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This paper cites Decoupled weight decay regu- larization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Decoupled weight decay regu- larization,

Reference 7

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Observation cebe1e5d-b94b-4b13-b3c8-1e16460f229e · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware minimization for efficiently improving generalization,

Reference 8

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Observation d0ea386a-4a3c-4969-97d9-c9ea1bd56077 · outbound

This paper cites Fantastic Generalization Measures and Where to Find Them.

VASSO: Variance Suppression for Sharpness-Aware Minimization Fantastic Generalization Measures and Where to Find Them

Reference 9

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This paper cites On large-batch training for deep learning: Generalization gap and sharp minima.

VASSO: Variance Suppression for Sharpness-Aware Minimization On large-batch training for deep learning: Generalization gap and sharp minima

Reference 10

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This paper cites Entropy-SGD: Biasing gradient descent into wide valleys,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Entropy-SGD: Biasing gradient descent into wide valleys,

Reference 11

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Observation ff2427d2-0bcc-4242-98bf-6c8ce7d580d3 · outbound

This paper cites GA-SAM: Gradient- strength based adaptive sharpness-aware minimization for improved generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization GA-SAM: Gradient- strength based adaptive sharpness-aware minimization for improved generalization,

Reference 12

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Observation 0701bf15-1187-44a9-b18f-940215fe5624 · outbound

This paper cites Towards under- standing sharpness-aware minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization Towards under- standing sharpness-aware minimization

Reference 13

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Observation 0a50c249-7204-46e6-88ef-f0148cdb93d6 · outbound

This paper cites How does sharpness- aware minimization minimizes sharpness,.

VASSO: Variance Suppression for Sharpness-Aware Minimization How does sharpness- aware minimization minimizes sharpness,

Reference 14

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Observation 0fc079bd-72ad-41f3-85eb-d70debb8b506 · outbound

This paper cites The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima.

VASSO: Variance Suppression for Sharpness-Aware Minimization The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima

Reference 15

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Observation f93bef96-a768-4836-9400-f213674460a9 · outbound

This paper cites Surrogate gap min- imization improves sharpness-aware training.

VASSO: Variance Suppression for Sharpness-Aware Minimization Surrogate gap min- imization improves sharpness-aware training

Reference 16

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Observation ffc1e574-068e-4716-bba3-83686863b116 · outbound

This paper cites Fisher SAM: Information geometry and sharpness aware minimi- sation.

VASSO: Variance Suppression for Sharpness-Aware Minimization Fisher SAM: Information geometry and sharpness aware minimi- sation

Reference 17

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Observation c9f17886-59cb-4021-bbfb-f583c3d0bc55 · outbound

This paper cites To- wards efficient and scalable sharpness-aware minimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization To- wards efficient and scalable sharpness-aware minimization,

Reference 18

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Observation a5c2c410-5b52-40ce-a267-6fdf06e88a43 · outbound

This paper cites Efficient sharpness-aware minimization for improved training of neural networks,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Efficient sharpness-aware minimization for improved training of neural networks,

Reference 19

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Observation b4e98eb7-c6e7-4774-864d-dfac9735c9ea · outbound

This paper cites Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 20

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This paper cites An Adaptive Policy to Employ Sharpness-Aware Minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization An Adaptive Policy to Employ Sharpness-Aware Minimization

Reference 21

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Observation dd6243d2-5f39-4a9b-aa0b-ab6b4b75eb2d · outbound

This paper cites Sharpness-aware training for free,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware training for free,

Reference 22

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Observation 552c8fcd-bc82-4fd7-9ebc-9e8533b06db8 · outbound

This paper cites Enhancing sharpness-aware optimization through variance suppression,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Enhancing sharpness-aware optimization through variance suppression,

Reference 23

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Observation c1c96856-9417-4404-a1a4-134d21e6c0df · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic first-and zeroth-order methods for nonconvex stochastic programming,

Reference 24

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Observation 6530d78d-3d9e-407f-8ef0-ba9e538eb5ed · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Optimization Methods for Large-Scale Machine Learning

Reference 25

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This paper cites Make sharpness-aware minimization stronger: A sparsified perturbation approach,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Make sharpness-aware minimization stronger: A sparsified perturbation approach,

Reference 26

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Observation b1e4bdab-8374-4ccb-9ec0-143dbe4ae392 · outbound

This paper cites Stochastic Frank-Wolfe methods for nonconvex optimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic Frank-Wolfe methods for nonconvex optimization,

Reference 27

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This paper cites Attention is all you need,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Attention is all you need,

Reference 28

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This paper cites Accelerating stochastic gradient descent using predictive variance reduction,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerating stochastic gradient descent using predictive variance reduction,

Reference 29

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Observation 5d4482f1-76e4-4426-b5b2-333ee8f9ba0e · outbound

This paper cites SARAH: A novel method for machine learning problems using stochastic recursive gradient,.

VASSO: Variance Suppression for Sharpness-Aware Minimization SARAH: A novel method for machine learning problems using stochastic recursive gradient,

Reference 30

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This paper cites Almost tune-free vari- ance reduction,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Almost tune-free vari- ance reduction,

Reference 31

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This paper cites On the convergence of SARAH and beyond,.

VASSO: Variance Suppression for Sharpness-Aware Minimization On the convergence of SARAH and beyond,

Reference 32

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VASSO: Variance Suppression for Sharpness-Aware Minimization Unresolved cited work

Reference 33

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Observation a57f5ec8-73ec-4e52-87d5-52b25a3509a7 · outbound

This paper cites ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,.

VASSO: Variance Suppression for Sharpness-Aware Minimization ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,

Reference 34

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Observation 85f035cf-0cd0-4c6e-87ed-ed844c9b3fe1 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

VASSO: Variance Suppression for Sharpness-Aware Minimization Improved Regularization of Convolutional Neural Networks with Cutout

Reference 35

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This paper cites ImageNet: A large-scale hierarchical image database,.

VASSO: Variance Suppression for Sharpness-Aware Minimization ImageNet: A large-scale hierarchical image database,

Reference 36

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This paper cites Adam: A method for stochastic optimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Adam: A method for stochastic optimization,

Reference 37

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Observation 53b76dd9-3b80-400c-95df-98943471a61b · outbound

This paper cites Domain generalization: A survey,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Domain generalization: A survey,

Reference 38

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This paper cites Unsupervised domain adaptation of object detectors: A survey,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Unsupervised domain adaptation of object detectors: A survey,

Reference 39

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This paper cites Sharpness-aware gradient matching for domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware gradient matching for domain generalization,

Reference 40

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This paper cites In search of lost domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization In search of lost domain generalization,

Reference 41

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Observation eb41a3a1-f0ec-448b-9c1a-614829754e1f · outbound

This paper cites Deeper, broader and artier domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Deeper, broader and artier domain generalization,

Reference 42

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Observation 1cee2645-f7a8-4568-af6e-e230a77056b8 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

Reference 43

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Observation 5b665f3c-0a2e-4405-93db-209befb51a65 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Deep hashing network for unsupervised domain adaptation,

Reference 44

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This paper cites Recognition in terra incognita,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Recognition in terra incognita,

Reference 45

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Observation 330fc483-4b76-4ad1-9a3f-eaeb394414af · outbound

This paper cites Sharpness-aware gradient matching for domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware gradient matching for domain generalization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.258831Z

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This paper cites Dynamic loss for robust learning,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Dynamic loss for robust learning,

Reference 47

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This paper cites Report on the 11th iwslt evaluation campaign, iwslt 2014,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Report on the 11th iwslt evaluation campaign, iwslt 2014,

Reference 48

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Observation 450e2462-34fe-4d5c-8f37-5a92f1ab48d8 · outbound

This paper cites The break-even point on optimiza- tion trajectories of deep neural networks.

VASSO: Variance Suppression for Sharpness-Aware Minimization The break-even point on optimiza- tion trajectories of deep neural networks

Reference 49

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Observation 1773e90d-85b4-4699-9b0b-4bce5b3c494e · outbound

This paper cites An investigation into neural net optimization via hessian eigenvalue density.

VASSO: Variance Suppression for Sharpness-Aware Minimization An investigation into neural net optimization via hessian eigenvalue density

Reference 50

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Observation 74dc1ef3-68d1-4414-a43e-a99330c75458 · outbound

This paper cites Visu- alizing the loss landscape of neural nets,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Visu- alizing the loss landscape of neural nets,

Reference 51

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Observation f3b02148-0758-4b4e-8f06-dcb62fd97084 · outbound

This paper cites Three Factors Influencing Minima in SGD.

VASSO: Variance Suppression for Sharpness-Aware Minimization Three Factors Influencing Minima in SGD

Reference 52

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Observation ac7c04a6-4f66-419e-989b-f123b4dce0b9 · outbound

This paper cites Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data,

Reference 53

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Observation 9b72f950-743e-4882-8a76-61b7b540803e · outbound

This paper cites Exploring generalization in deep learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Exploring generalization in deep learning

Reference 54

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Observation f8c66afc-1fcf-40ce-b4e7-93d9673c6b27 · outbound

This paper cites On the generalization of models trained with sgd: Information-theoretic bounds and impli- cations,.

VASSO: Variance Suppression for Sharpness-Aware Minimization On the generalization of models trained with sgd: Information-theoretic bounds and impli- cations,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.154610Z

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Observation ed41777a-ab79-4631-8b5d-08a4cc9bd2ab · outbound

This paper cites Averaging weights leads to wider optima and better generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Averaging weights leads to wider optima and better generalization,

Reference 56

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Observation 1b515a27-19ee-4e4b-b0f6-6251435989c5 · outbound

This paper cites Adversarial weight per- turbation helps robust generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Adversarial weight per- turbation helps robust generalization,

Reference 57

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This paper cites Penalizing gradient norm for efficiently improving generalization in deep learning,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Penalizing gradient norm for efficiently improving generalization in deep learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.115477Z

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Observation b3774b03-1c10-4b82-9bb5-dedb5d441123 · outbound

This paper cites Implicit gradient regulariza- tion,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Implicit gradient regulariza- tion,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.102295Z

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Observation 73f34713-0f92-471b-9806-d29fea42005a · outbound

This paper cites Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization

Reference 60

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This paper cites Stochastic con- ditional gradient methods: From convex minimization to submodular maximization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic con- ditional gradient methods: From convex minimization to submodular maximization,

Reference 61

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Observation b41addae-29d3-45c0-a469-802e78c5e4f3 · outbound

This paper cites Accelerating Frank- Wolfe with weighted average gradients,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerating Frank- Wolfe with weighted average gradients,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.076486Z

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This paper cites Heavy ball momentum for conditional gradient,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Heavy ball momentum for conditional gradient,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.062355Z

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Observation 0e48023d-d671-4661-87de-237c418d2d27 · outbound

This paper cites Understanding and increas- ing efficiency of Frank-Wolfe adversarial training,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Understanding and increas- ing efficiency of Frank-Wolfe adversarial training,

Reference 64

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Observation 38209de2-c405-41e1-bd09-714c173accff · outbound

This paper cites A momentum-guided Frank-Wolfe algorithm,.

VASSO: Variance Suppression for Sharpness-Aware Minimization A momentum-guided Frank-Wolfe algorithm,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.034426Z

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Observation 15d876f0-746e-4c75-8edd-c134de922df8 · outbound

This paper cites Enhancing Frank-Wolfe with an extra subproblem,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Enhancing Frank-Wolfe with an extra subproblem,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.020959Z

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Observation 6e40ece2-246b-4b7c-9e01-7838826f6521 · outbound

This paper cites Accelerated stochastic gradient-free and projection-free methods,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerated stochastic gradient-free and projection-free methods,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:46.007513Z

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Observation 8cedb89a-5796-473b-94a5-19dfb807e53e · outbound

This paper cites Scaling is used to vary the SNR.

VASSO: Variance Suppression for Sharpness-Aware Minimization Scaling is used to vary the SNR

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:42:45.993670Z

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