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Paper Citation Record · LEDGER

An overview of gradient descent optimization algorithms

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:1609.04747.

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pith.paper-citation-record.v1
1609.04747 v2

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measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 100 of 229 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:37:36.756445Z

measured 1 of 1 external citation measurements

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Source: pith, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

4797
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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To each route its own ETA: A generative modeling framework for ETA prediction cites this paper.

To each route its own ETA: A generative modeling framework for ETA prediction An overview of gradient descent optimization algorithms

Reference 28

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Deep Neural Network Based Resource Allocation for V2X Communications cites this paper.

Deep Neural Network Based Resource Allocation for V2X Communications An overview of gradient descent optimization algorithms

Reference 18

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A CNN-Based Super-Resolution Technique for Active Fire Detection on Sentinel-2 Data cites this paper.

A CNN-Based Super-Resolution Technique for Active Fire Detection on Sentinel-2 Data An overview of gradient descent optimization algorithms

Reference 24

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Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder cites this paper.

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder An overview of gradient descent optimization algorithms

Reference 28

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Deployable probabilistic programming An overview of gradient descent optimization algorithms

Reference 41

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Incremental Concept Learning via Online Generative Memory Recall An overview of gradient descent optimization algorithms

Reference 34

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Learning the Wireless V2I Channels Using Deep Neural Networks cites this paper.

Learning the Wireless V2I Channels Using Deep Neural Networks An overview of gradient descent optimization algorithms

Reference 19

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signADAM: Learning Confidences for Deep Neural Networks cites this paper.

signADAM: Learning Confidences for Deep Neural Networks An overview of gradient descent optimization algorithms

Reference 32

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On Using Machine Learning to Identify Knowledge in API Reference Documentation An overview of gradient descent optimization algorithms

Reference 34

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Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization cites this paper.

Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization An overview of gradient descent optimization algorithms

Reference 16

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Learning Compact Target-Oriented Feature Representations for Visual Tracking cites this paper.

Learning Compact Target-Oriented Feature Representations for Visual Tracking An overview of gradient descent optimization algorithms

Reference 38

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Stress-Plus-X (SPX) Graph Layout cites this paper.

Stress-Plus-X (SPX) Graph Layout An overview of gradient descent optimization algorithms

Reference 31

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BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects cites this paper.

BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects An overview of gradient descent optimization algorithms

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Learn to Compress CSI and Allocate Resources in Vehicular Networks cites this paper.

Learn to Compress CSI and Allocate Resources in Vehicular Networks An overview of gradient descent optimization algorithms

Reference 37

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Cross-Domain Adaptation for Animal Pose Estimation An overview of gradient descent optimization algorithms

Reference 43

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Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks cites this paper.

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks An overview of gradient descent optimization algorithms

Reference 4

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Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering An overview of gradient descent optimization algorithms

Reference 16

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Applying machine learning optimization methods to the production of a quantum gas An overview of gradient descent optimization algorithms

Reference 44

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Automated Architecture Design for Deep Neural Networks An overview of gradient descent optimization algorithms

Reference 43

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Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation An overview of gradient descent optimization algorithms

Reference 25

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Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training An overview of gradient descent optimization algorithms

Reference 16

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An Operational Framework for Nonclassicality in Quantum Communication Networks An overview of gradient descent optimization algorithms

Reference 59

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Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation cites this paper.

Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation An overview of gradient descent optimization algorithms

Reference 28

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DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios An overview of gradient descent optimization algorithms

Reference 36

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IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis An overview of gradient descent optimization algorithms

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LEAP:D -- A Novel Prompt-based Approach for Domain-Generalized Aerial Object Detection An overview of gradient descent optimization algorithms

Reference 20

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Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration An overview of gradient descent optimization algorithms

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Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations An overview of gradient descent optimization algorithms

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Distributed Optimization Method Based On Optimal Control An overview of gradient descent optimization algorithms

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Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion Model An overview of gradient descent optimization algorithms

Reference 21

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Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver An overview of gradient descent optimization algorithms

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AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification cites this paper.

AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification An overview of gradient descent optimization algorithms

Reference 36

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Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy cites this paper.

Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy An overview of gradient descent optimization algorithms

Reference 29

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Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization An overview of gradient descent optimization algorithms

Reference 15

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Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in $pp$ collisions at $\sqrt{s}$=13 TeV with the ATLAS detector An overview of gradient descent optimization algorithms

Reference 76

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Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape cites this paper.

Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape An overview of gradient descent optimization algorithms

Reference 30

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Observation 4a68f6b5-f5ac-4cc1-b94f-55d6440c1e4b · inbound

Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation cites this paper.

Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-12T12:39:37.198056Z digest=sha256:5459f8204b181602c3c2db140a536af49c3b06589a23f367957c11da646b304a

Observation b33821eb-ce2c-4d57-ad42-4344ab458d2d · inbound

MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data cites this paper.

MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-12T11:37:26.101986Z digest=sha256:6d5151facaff34071dfd3ab45b97f119fd75c60617eb74a2c1b4fb714608e529

Observation c7a540bb-bf7b-435a-b265-b2d8bc99425c · inbound

Stability of first-order methods in tame optimization cites this paper.

Stability of first-order methods in tame optimization An overview of gradient descent optimization algorithms

Reference 9

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source=pdf_text observed=2026-08-12T05:16:51.241496Z digest=sha256:71a83758aa315d5afbc54ed4824dcfd412debefa0dc20ae496f9660c79bcfad2

Observation 748af1b9-7f9b-4160-ad04-980d1d63c8ae · inbound

An overview of diffusion models for generative artificial intelligence cites this paper.

An overview of diffusion models for generative artificial intelligence An overview of gradient descent optimization algorithms

Reference 39

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source=pdf_text observed=2026-08-12T04:31:21.396260Z digest=sha256:e33c3a94f4b57651658e5f57bbbaa9b4e63c0b9ce876424dd369995041d34893

Observation b790824e-39b0-4e02-837f-4fcdc22bc455 · inbound

Offline Stochastic Optimization of Black-Box Objective Functions cites this paper.

Offline Stochastic Optimization of Black-Box Objective Functions An overview of gradient descent optimization algorithms

Reference 13

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source=pdf_text observed=2026-08-11T23:56:55.098412Z digest=sha256:85201f7ea2163226015ade0a4998dc30bf0b583e8f63d4919323a1ee96939dd5

Observation 7a251184-0667-4ace-9032-1436bb1c02a2 · inbound

Stochastic Gradient Estimation for Higher-order Differentiable Rendering cites this paper.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-11T22:28:56.692516Z digest=sha256:6fe05ed36041b527fa58b9a22ffbdbfc5f9c646e210812b815913f0e0ceb5e14

Observation a1d27fbd-79d3-49b6-aa98-1c8154658027 · inbound

Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning cites this paper.

Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-11T22:11:36.593050Z digest=sha256:546da68a4f97430ed2e0db2c27748ca733a9c2467e7235321b760e7b916145f4

Observation 94a86e68-37f9-48b5-bdfc-786493794353 · inbound

Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization cites this paper.

Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization An overview of gradient descent optimization algorithms

Reference 27

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source=pdf_text observed=2026-08-11T22:03:47.379445Z digest=sha256:ccd997f4fdbaacc48e05ed386f8186870192da00857441595474d07f9deb222c

Observation 3cdb4371-9f5f-429b-af62-c33d455a8315 · inbound

Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction cites this paper.

Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction An overview of gradient descent optimization algorithms

Reference 29

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source=arxiv_source observed=2026-08-11T18:04:51.012074Z digest=sha256:8587628fdd5b46037cd17d46fba801cc93b0fc5698f7a34025e91b5fd16fcd55

Observation 471d9fdf-fe8b-42a5-b39a-870051cbd735 · inbound

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization cites this paper.

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization An overview of gradient descent optimization algorithms

Reference 42

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source=arxiv_source observed=2026-08-11T17:34:18.039860Z digest=sha256:d9f30a894709e52b7720af01a694d25761291460f0164d82c677588b64139ff9

Observation 4d58cbeb-8a79-49e5-b3f8-ed27db462427 · inbound

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis cites this paper.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis An overview of gradient descent optimization algorithms

Reference 17

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source=pdf_text observed=2026-08-11T15:37:56.071559Z digest=sha256:a5b3b1ccbd4f5908bcdd8b48c4e549efaff761bc3c01eba916ffcca4a3e46888

Observation 0fd98446-37bb-4953-9583-b58096227505 · inbound

PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks cites this paper.

PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks An overview of gradient descent optimization algorithms

Reference 26

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source=pdf_text observed=2026-08-11T15:21:47.153620Z digest=sha256:c777ea714ffea57957c399d49d808aa02b3ebab808f8f06c81d999bf51fd412b

Observation 42932dc1-ab74-4ee4-916f-fe8bfbbc0a64 · inbound

NTC-KWS: Noise-aware CTC for Robust Keyword Spotting cites this paper.

NTC-KWS: Noise-aware CTC for Robust Keyword Spotting An overview of gradient descent optimization algorithms

Reference 32

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source=pdf_text observed=2026-08-11T13:58:47.119946Z digest=sha256:1843481cba5e6b594736985ec2b5dbdcd62342ced75d7387a24bd860cc040a04

Observation 37f98266-83c0-4f90-b5a2-357823e7d25e · inbound

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition cites this paper.

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition An overview of gradient descent optimization algorithms

Reference 36

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source=pdf_text observed=2026-08-11T11:57:02.301186Z digest=sha256:2bc7836ee27b70465dc98a39c834b44f1522e0e48ea47081a4a41774d8688fb4

Observation 8ec74140-0a80-44d9-8cac-b7b01bf9d1e1 · inbound

Random Batch Method with Momentum Correction cites this paper.

Random Batch Method with Momentum Correction An overview of gradient descent optimization algorithms

Reference 7

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source=pdf_text observed=2026-08-11T11:25:18.724431Z digest=sha256:3072fc42edf9d5c027d46c72ec93f4d7ef4bc752abae97ffea6f403dface7296

Observation efc176b8-28d3-4e90-8b2c-3aa637a6962b · inbound

Real-valued continued fraction of straight lines cites this paper.

Real-valued continued fraction of straight lines An overview of gradient descent optimization algorithms

Reference 3

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source=pdf_text observed=2026-08-11T14:56:34.001808Z digest=sha256:c31ef6773655c449ce64599efceb47cf17cfd20dcfc41c399357e502e9b92222

Observation 2352cb9c-010d-4bad-80f9-1d78771555b9 · inbound

Video Domain Incremental Learning for Human Action Recognition in Home Environments cites this paper.

Video Domain Incremental Learning for Human Action Recognition in Home Environments An overview of gradient descent optimization algorithms

Reference 49

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source=pdf_text observed=2026-08-11T06:00:15.642310Z digest=sha256:917ad79e72322bb223078e44a0829c6aff0371f5c0024299bc2ffcc12f8aa927

Observation 77d4c6cb-1434-4256-bbc5-e074de49aa50 · inbound

Grams: Gradient Descent with Adaptive Momentum Scaling cites this paper.

Grams: Gradient Descent with Adaptive Momentum Scaling An overview of gradient descent optimization algorithms

Reference 33

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source=arxiv_source observed=2026-08-11T05:52:57.300913Z digest=sha256:b84ad83daa1458d18a1dfa98d8005cf4f82bb8af6a7a6f80db5b0ac0be74e62f

Observation 09ef9a0f-268d-4d46-8e49-732099dfb3a3 · inbound

Foxtsage vs. Adam: Revolution or Evolution in Optimization? cites this paper.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An overview of gradient descent optimization algorithms

Reference 42

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source=pdf_text observed=2026-08-11T11:24:55.598495Z digest=sha256:99b74bf3b6ec56d9b304d1d59ffbdefada5adc5f9c1aeb91af8bb775806887b1

Observation 3ae48589-efdb-4a37-b204-6f4267cc1d06 · inbound

EXAdam: The Power of Adaptive Cross-Moments cites this paper.

EXAdam: The Power of Adaptive Cross-Moments An overview of gradient descent optimization algorithms

Reference 9

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source=pdf_text observed=2026-08-10T23:29:16.930323Z digest=sha256:6363d50cc09e41343a9f1b34cdbfa4913150f76ac2bde0c3e6bbb4191fa55ea8

Observation 647e8ea4-e8dc-45a7-9b6d-541586ee3812 · inbound

Learning Epidemiological Dynamics via the Finite Expression Method cites this paper.

Learning Epidemiological Dynamics via the Finite Expression Method An overview of gradient descent optimization algorithms

Reference 25

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source=pdf_text observed=2026-08-10T23:08:15.087964Z digest=sha256:453e25ae8b9f18d5a4792d07bccfd8f1b5fa2043e659263322f5130ff90f0b5e

Observation 5fd56fea-2983-41db-ac35-7f198a3f1abd · inbound

Phone-purity Guided Discrete Tokens for Dysarthric Speech Recognition cites this paper.

Phone-purity Guided Discrete Tokens for Dysarthric Speech Recognition An overview of gradient descent optimization algorithms

Reference 33

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source=pdf_text observed=2026-08-10T21:37:57.351615Z digest=sha256:98ae03742c178d599c722565863bc5cb40760b98e978ba7fadde9f94a79c2621

Observation bc5265ac-68dc-4c86-9aa8-9c6755fd3ea6 · inbound

Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems cites this paper.

Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems An overview of gradient descent optimization algorithms

Reference 40

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source=pdf_text observed=2026-08-10T21:11:06.921779Z digest=sha256:bd023e50b3e960eceb871e48aab619cd51d5f2532adf525d0c1ba9847881205a

Observation a753021c-4c7a-482e-a1d5-95920eab0cd6 · inbound

Modeling Quantum Machine Learning for Genomic Data Analysis cites this paper.

Modeling Quantum Machine Learning for Genomic Data Analysis An overview of gradient descent optimization algorithms

Reference 31

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source=pdf_text observed=2026-08-10T20:34:07.245243Z digest=sha256:d50a1aa450c7fe62e9931b8ca46d1947a17798bb371ef577206b0afc09834bc4

Observation a524e6c8-1f54-483a-afb9-4711bb84588f · inbound

Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning cites this paper.

Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning An overview of gradient descent optimization algorithms

Reference 17

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source=pdf_text observed=2026-08-10T19:55:19.153546Z digest=sha256:9e6da68b07164c9d68dd6d2b46181c966b6273f349e7873098852992711386b7

Observation b9b48804-0e5e-4093-a6b9-bed3e3cb9912 · inbound

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps cites this paper.

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-05-20T11:45:17.473970Z digest=sha256:8a96a38c540494e666bc2878b031484ab046dc367291e26fa7b92987a66f352f

Observation a3426647-09db-405a-93cc-0dbfe02cef19 · inbound

Egoistic MDS-based Rigid Body Localization cites this paper.

Egoistic MDS-based Rigid Body Localization An overview of gradient descent optimization algorithms

Reference 32

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source=pdf_text observed=2026-08-10T18:26:52.988799Z digest=sha256:9ede7e64f8a8704de0e4d582c181647f3c7106101175f0dc98f397a7f94f0e56

Observation fbe2ebd8-456e-45ff-bd2f-a70a72e01647 · inbound

Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems cites this paper.

Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-10T22:57:49.730165Z digest=sha256:9064570886d0aad4f800fda9e18c09c3fe411fc172b98a5d675348fef45deff8

Observation 51887331-b80e-453a-84f2-de6f896b9e96 · inbound

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts cites this paper.

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts An overview of gradient descent optimization algorithms

Reference 40

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source=arxiv_source observed=2026-08-10T14:42:33.176756Z digest=sha256:afeb0b3196ff3fcd7eda5a85c7d2b0d93e6c9ec9597f8490fe17df74d896d106

Observation 6a57d00f-c8b3-4e3a-8cac-57aaa049a9d2 · inbound

A Post-Processing-Based Fair Federated Learning Framework cites this paper.

A Post-Processing-Based Fair Federated Learning Framework An overview of gradient descent optimization algorithms

Reference 42

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source=pdf_text observed=2026-08-10T14:28:00.603627Z digest=sha256:e54e006615e92de8d02c1172cd32ec2c954e4fb122698b836faab6ae65093094

Observation 587b5c32-04c1-459a-b2e3-85e6a28f2179 · inbound

Mathematical analysis of the gradients in deep learning cites this paper.

Mathematical analysis of the gradients in deep learning An overview of gradient descent optimization algorithms

Reference 47

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source=pdf_text observed=2026-08-10T14:10:55.258087Z digest=sha256:e33fd6e8e51bf03439f5dcba4f85f217daa0990a31b86497c5dc1eaf377335b7

Observation 7d86151f-fd86-4a57-b88c-7af7eff89162 · inbound

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within $z < 1.4$ in the Hyper Supreme-Cam Wide Survey cites this paper.

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within $z < 1.4$ in the Hyper Supreme-Cam Wide Survey An overview of gradient descent optimization algorithms

Reference 56

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source=arxiv_source observed=2026-08-10T14:03:43.473254Z digest=sha256:43e1c4ce2b327534725638588b6cec15fddd7e5e28372ade65c0455ccc715cb2

Observation 9c3d9c6f-e5d7-4307-b6b5-3ad5527175aa · inbound

Optimizer-Dependent Generalization Bound for Quantum Neural Networks cites this paper.

Optimizer-Dependent Generalization Bound for Quantum Neural Networks An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-10T13:41:16.206540Z digest=sha256:5c9e64d496410c0049f1e98ec9c0ec45dc169122c923343dc1705a80477c1fe4

Observation 47c3d01b-ac5b-41f6-ae35-de83a5713d09 · inbound

Empirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces cites this paper.

Empirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces An overview of gradient descent optimization algorithms

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source=pdf_text observed=2026-08-10T10:08:11.530109Z digest=sha256:aa235624ec7d9faa388286c2dbf626f9fd04e0660569639c8f0f8363a1d4450e

Observation 539a94ad-ad79-4911-9679-982667aa7cc0 · inbound

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments cites this paper.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments An overview of gradient descent optimization algorithms

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source=arxiv_source observed=2026-08-09T21:57:15.054955Z digest=sha256:f070f2b5d6607829952442713ecb05e28821285d85d388b5580cc994c0cdb17d

Observation a87fbcb6-9ebd-42d2-b46b-fe9968653ab3 · inbound

Greedy Stein Variational Gradient Descent: An algorithmic approach for wave prospection problems cites this paper.

Greedy Stein Variational Gradient Descent: An algorithmic approach for wave prospection problems An overview of gradient descent optimization algorithms

Reference 29

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source=arxiv_source observed=2026-08-09T20:34:01.424326Z digest=sha256:03d7f664d3557cc463345317c58c7034d839e8129e32d3b2ab9aa567e4a3c669

Observation 7332f7ad-1de9-45a2-b9c1-663592e6307b · inbound

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study cites this paper.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study An overview of gradient descent optimization algorithms

Reference 17

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source=pdf_text observed=2026-08-09T19:57:19.460289Z digest=sha256:7d625bda5bcdfae476aafd4f0b695cb2c1cbd68c2eb72a6b440cef06267b3afb

Observation b4d840a8-93af-4040-9557-c44a928eb086 · inbound

Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data cites this paper.

Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data An overview of gradient descent optimization algorithms

Reference 15

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source=pdf_text observed=2026-08-09T14:50:58.724319Z digest=sha256:87e5d3a9e08d1ab08ea29cd9f129809359d0e0b243a30fe802dd1e59b49a25f1

Observation 697e1e7a-5072-47ec-b11d-fad450baa5fa · inbound

Multi-level Supervised Contrastive Learning cites this paper.

Multi-level Supervised Contrastive Learning An overview of gradient descent optimization algorithms

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source=arxiv_source observed=2026-08-09T13:03:36.701438Z digest=sha256:043d4ffa45f0534f11f69066f666a0551c6f361c68d44b0750fcf91dd88b8fc8

Observation d73a48d9-9e5a-49bb-b27c-57f90561eb63 · inbound

Probabilistic Artificial Intelligence cites this paper.

Probabilistic Artificial Intelligence An overview of gradient descent optimization algorithms

Reference 13

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Observation 41a406cd-f410-45c1-92dd-304d80258971 · inbound

Position reconstruction and surface background model for the PandaX-4T detector cites this paper.

Position reconstruction and surface background model for the PandaX-4T detector An overview of gradient descent optimization algorithms

Reference 11

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Observation 65579a00-31e0-4e9c-bad7-01316c086f3d · inbound

Better Embeddings with Coupled Adam cites this paper.

Better Embeddings with Coupled Adam An overview of gradient descent optimization algorithms

Reference 25

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Observation fd54b708-b542-408c-b768-f6b058eb735d · inbound

Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods cites this paper.

Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods An overview of gradient descent optimization algorithms

Reference 19

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Observation 1d9b7db4-e621-41aa-8047-85ca960fab7f · inbound

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm cites this paper.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm An overview of gradient descent optimization algorithms

Reference 4946

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Observation b2c79674-f74f-4612-bea3-0dca541c2dc3 · inbound

PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network cites this paper.

PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network An overview of gradient descent optimization algorithms

Reference 39

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Observation 9c838f7c-3b71-476b-babf-db6a0c407c60 · inbound

DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations cites this paper.

DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations An overview of gradient descent optimization algorithms

Reference 18

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Observation 52ca542d-a173-4eeb-aa75-bec36faccbc5 · inbound

DNN based HRIRs Identification with a Continuously Rotating Speaker Array cites this paper.

DNN based HRIRs Identification with a Continuously Rotating Speaker Array An overview of gradient descent optimization algorithms

Reference 46

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Observation b9af3f5e-22ba-4e4d-afd8-44cd4c145b01 · inbound

AlphaGrad: Non-Linear Gradient Normalization Optimizer cites this paper.

AlphaGrad: Non-Linear Gradient Normalization Optimizer An overview of gradient descent optimization algorithms

Reference 5

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Observation 487a73bf-cb57-495c-982c-b3997eeb1fe2 · inbound

CGD: Modifying the Loss Landscape by Gradient Regularization cites this paper.

CGD: Modifying the Loss Landscape by Gradient Regularization An overview of gradient descent optimization algorithms

Reference 17

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source=pdf_text observed=2026-08-16T11:17:24.970863Z digest=sha256:678b0126e80205349d2d07404c3b80b857afca661a1c52aab0a0cf3e44dc2ad0

Observation a8a0c7ec-63c6-410f-b9de-cdf8c4302574 · inbound

Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models cites this paper.

Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models An overview of gradient descent optimization algorithms

Reference 9

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Observation 70df41f0-634c-4b24-943f-eb35c9ed958e · inbound

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks cites this paper.

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks An overview of gradient descent optimization algorithms

Reference 14

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Observation 655c9cfd-6a3a-49e5-b14d-f6ceb0ef5c10 · inbound

Temperature Estimation in Induction Motors using Machine Learning cites this paper.

Temperature Estimation in Induction Motors using Machine Learning An overview of gradient descent optimization algorithms

Reference 17

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source=pdf_text observed=2026-08-16T10:27:02.854963Z digest=sha256:8a62bbeccc5b71c88055901ec4a0e690e77cd67c5db7a664e07daa8a8d4f0ff1

Observation 47ba8615-4a02-40ff-ae95-eae0628b47df · inbound

Experimental neuromorphic computing based on quantum memristor cites this paper.

Experimental neuromorphic computing based on quantum memristor An overview of gradient descent optimization algorithms

Reference 64

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source=pdf_text observed=2026-08-16T10:16:55.689242Z digest=sha256:211b0e64902483a5151e5a007ac9e37a5dbcb02149834e84cc9b9663a84f12d8

Observation 17266983-f4f8-4649-bc9f-45554ccf5091 · inbound

Performance Study of a Position-sensitive Plastic Scintillator Detector cites this paper.

Performance Study of a Position-sensitive Plastic Scintillator Detector An overview of gradient descent optimization algorithms

Reference 31

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Observation 3bf2af90-2139-4dc3-8400-1cf1c3df1241 · inbound

Sharp higher order convergence rates for the Adam optimizer cites this paper.

Sharp higher order convergence rates for the Adam optimizer An overview of gradient descent optimization algorithms

Reference 38

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source=pdf_text observed=2026-08-16T06:04:09.777150Z digest=sha256:daaa9f6bf2fc9f7a569b125769b0560bf9b9aee637d6e403a7ae37356c7ab269

Observation 4d609abe-2fbc-4ea8-a7c3-2e3cd43365e1 · inbound

Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties cites this paper.

Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties An overview of gradient descent optimization algorithms

Reference 36

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Observation e820b6c3-aab5-4eff-aec3-c94f4558e81c · inbound

am-ELO: A Stable Framework for Arena-based LLM Evaluation cites this paper.

am-ELO: A Stable Framework for Arena-based LLM Evaluation An overview of gradient descent optimization algorithms

Reference 44

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source=arxiv_source observed=2026-08-15T23:58:42.089480Z digest=sha256:f2d7bb51743fcfe5cb4bc9f1a1981ea3f8bbf2d56540e539329e233506c456d0

Observation 4a948858-2f87-44ce-825f-48463cf17d81 · inbound

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning cites this paper.

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning An overview of gradient descent optimization algorithms

Reference 32

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Observation b58abad4-35e1-4d97-8bdc-05c30c2bcd95 · inbound

Neural-network-based longitudinal electric field prediction in nonlinear plasma wakefield accelerators cites this paper.

Neural-network-based longitudinal electric field prediction in nonlinear plasma wakefield accelerators An overview of gradient descent optimization algorithms

Reference 56

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Observation 7d099c10-b6df-4792-bcc1-db950e49a0e7 · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows An overview of gradient descent optimization algorithms

Reference 35

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Observation 399da835-a152-4217-a9d7-337d62a133ef · inbound

GEORCE: A Fast New Control Algorithm for Computing Geodesics cites this paper.

GEORCE: A Fast New Control Algorithm for Computing Geodesics An overview of gradient descent optimization algorithms

Reference 58

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Observation 1797b787-1d8c-4a1a-9bd2-445656cc49d0 · inbound

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks cites this paper.

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks An overview of gradient descent optimization algorithms

Reference 39

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Observation f6e61a0a-aea5-4b8e-ac32-5eb4289fc6ad · inbound

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning cites this paper.

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning An overview of gradient descent optimization algorithms

Reference 63

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source=arxiv_source observed=2026-08-15T20:25:09.537802Z digest=sha256:39901e14dfdf6603caaac4e8f26b7d0805a9c9259c8f58064af64d264b142c66

Observation b83e88f9-b00c-4f24-8e1f-1b493fcb593a · inbound

A Physics-Inspired Optimizer: Velocity Regularized Adam cites this paper.

A Physics-Inspired Optimizer: Velocity Regularized Adam An overview of gradient descent optimization algorithms

Reference 20

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local_arxiv, observed 2026-05-22T14:34:54.330966Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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