Deep Learning

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31 papers in the last 28 days · 0.5% of indexed attention

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Period ending 2026-09-21

16 new papers

A weekly snapshot of new work published in Deep Learning.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Deep Learning.

Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in Deep Learning.

559 papers

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  1. A multi-task spatiotemporal deep neural network for predicting penetration depth and morphology in laser welding

    Jun 24, 2026Sen Li, Haichao Cui, Chendong Shao +2Deep LearningAdditive Manufacturing

  2. Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

    Jun 24, 2026Dan Zimmerman, Dimitris A. Pados, George SklivanitisIn-Situ Plankton ClassifiersUnderwater Imagery

  3. Hybrid deep learning-based phase diversity method for wavefront reconstruction

    Jun 24, 2026Y. Rodimkov, A. Kotov, K. Burdonov +4Deep LearningHybrid

  4. ADM-Fusion: Adaptive Deep Multi-Sensor Fusion for Robust Ego-Motion Estimation in Diverse Conditions

    Jun 23, 2026Hasan Moughnieh, Ibrahim Ghaddar, Hadi Elham +2Multi-Sensor FusionEgo-Motion

  5. BluTrain: A C++/CUDA Framework for AI Systems

    Jun 23, 2026Adhitya Charan, Adwaid Suresh, Anuj Kumar +19CudaTrainability

  6. Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning

    Jun 23, 2026Arya Hariharan, Shreyank N Gowda, Anala M RAlzheimerPredictive Uncertainty

  7. EERLoss: A Novel Loss Function for Training Deep Biometric Models. A Case Study in Keystroke Dynamics

    Jun 23, 2026Nahuel Gonzalez, Marta Robledo-Moreno, Ivan DeAndres-Tame +2BiometricsLoss Function

  8. Aspect-Based Sentiment Evolution and its Correlation with Review Rounds in Multi-Round Peer Reviews: A Deep Learning Approach

    Jun 23, 2026Ruxue Hana, Haomin Zhoua, Jiangtao Zhong +1Peer ReviewSentiment Analysis

  9. Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms

    Jun 23, 2026Afifa Khaled, Said Jadid Abdulkadir, Majdy Mohamed Eltayeb EltahirVoxel3D Gaussian

  10. A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection

    Jun 23, 2026Nisreen AlbzourAcute Myeloid LeukemiaAuc-Roc

  11. Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission

    Jun 22, 2026Muallim Yakubu, Vwavware Oruaode JudeExoplanet AtmospheresAtmospheric Dynamics

  12. SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks

    Jun 22, 2026Adrian Robert Minut, Nico Daheim, Marco Miani +3VariationalDeep Learning

  13. Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning

    Jun 22, 2026Jing-Zong Zhang, Wang-Mei Zha, Lingxiao Wang +1Nuclear DataHigh Energy Physics

  14. Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

    Jun 22, 2026Leona Hennig, Marius LindauerDeep LearningDeep Network

  15. From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks

    Jun 20, 2026Sepideh Kheirollahi, Mohammad Rasoul RoshanshahInterictal Epileptiform DischargesDeep Learning

  16. Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning

    Jun 20, 2026Yash Chaudhary, Jason T. L. Wang, Chunhui Xu +2Geomagnetic StormsSolar

  17. Improving Engine Sound Analysis in Hot-Test Environments via a RAB-U-Net (Residual Attention Block U-Net) Noise Removal Method

    Jun 20, 2026Raheleh Mohseni, Mahdi Aliyari ShoorehdeliActive Motor Noise CancellationDeep Learning

  18. Mitigating Early Training Collapse in CTR Models

    Jun 20, 2026Ergun Biçici, Erkan ÇetinyamaçClick-Through Rate PredictionCollapse

  19. Geometric and Information Compression of Representations in Deep Learning

    Jun 19, 2026Linara Adilova, Henning Petzka, Asja Fischer +1Mutual InformationGeometric Deep Learning

  20. Breaking chains with trees: Deep learning with O(log⁡N)\mathcal{O}(\log N) parallel time complexity

    Jun 19, 2026Neeraj Mohan Sushma, Aditya Nagarsekar, Cabrel Teguemne Fokam +4BackpropagationNeural Architectures

  21. Deep Learning for Soil Moisture Estimation: Fusing Satellite Data with Optimally-Lagged Meteorological Features

    Jun 19, 2026Adrian Canovas-Rodriguez, Aurora González Vidal, Antonio F. SkarmetaSoil Moisture EstimationWeather Models

  22. Universal Encoders for Modular Relational Deep Learning

    Jun 19, 2026Jakub Peleška, Gustav ŠírRelational Deep LearningKnowledge Graph Embeddings

  23. Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment

    Jun 19, 2026Xiaoliang Wu, Qiyang Sun, Yupei Li +3ExplainabilityXai

  24. Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction

    Jun 19, 2026Kıvanç Doğan, Ahmet OrhanSurrogate ModelsMachine Learning

  25. Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning

    Jun 18, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Thomas Ebner +1ReproductionAttention-Guided Transunet

  26. Towards 3D karst underwater scene reconstruction from rotating sonar data

    Jun 18, 2026Georgios Evangelos Margaritis, Lionel Lapierre, Simon Rohou +3Sub-Surface Mineral Prospectivity ModellingForward-Looking Sonar

  27. Statistical Properties of Training & Generalization

    Jun 18, 2026Itay Lavie, Noam Levi, Yonatan KahnPhysics-Informed Machine LearningStatistical Mechanics

  28. Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation

    Jun 18, 2026Yanning Wang, Zhiyong Zhou, Zhouyu Liu +2Graph Representation LearningGlobal Spatial Information

  29. Machine Unlearning for the XGBoost Model with Network Intrusion Datasets

    Jun 17, 2026Diana Magalhães, Eva Maia, João Vitorino +1Machine UnlearningXgboost

  30. TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches

    Jun 17, 2026Xingchen Yan, Jian Ge, Qingtian Liu +3Exoplanet AtmospheresPhase-Folded Light Curves

  31. A Neural Network Framework for Geodesic-Like Curve Computation on Parametric Surfaces

    Jun 17, 2026Sheng-Gwo Chen, Chen-Chang PengGeodesicSuperquadrics

  32. PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation

    Jun 17, 2026Asad Channa, Abdullah Khan, Asghar Ali Chandio +4Skin Lesion ClassificationDeep Learning

  33. Leveraging Energy Features for Surface Classification with Deep Learning: A Comparative Analysis Across Three Independent Datasets

    Jun 17, 2026Alexander Belyaev, Oleg KushnarevDeep LearningEnergy Resources

  34. Multi-Class Brain Tumor Classification Using Advanced Deep Learning Models: A Comparative Study

    Jun 17, 2026Asad Channa, Asghar Ali Chandio, Akhtar Hussain Jalbani +2Brain Tumor ClassificationDeep Learning

  35. BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

    Jun 17, 2026Md Taimur Ahad, Bo Song, Yan LiBrain Tumor ClassificationMagnetic Resonance Imaging

  36. Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection

    Jun 16, 2026Isidro Gómez-Vargas, Xavier Dumusque, Yinan Zhao +2Exoplanet AtmospheresDoppler Velocity Log

  37. Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements

    Jun 16, 2026Han Zhou, Richard Bannister, Caspar Pierce +9Ultra-WidebandDeep Learning

  38. Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model

    Jun 16, 2026Degala Pushpa Sri, Mayank Atreya, Lakshmi. H +2XgboostChurn Prediction

  39. Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows

    Jun 16, 2026Alejandro Calle-Saldarriaga, Felix Jimenez, Jack Grosskreuz +3NitrogenDeep Learning

  40. Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network

    Jun 15, 2026Che-Yung Shen, Yuhang Li, Cagatay Isil +3Real-World Mixed SpectraReconfigurable Intelligent Surfaces

  41. Spatio-Temporal Wildfire Spread Prediction in Canada using a Video Swin-Hybrid-U-Net and Satellite Imagery

    Jun 15, 2026Maulik Srivastava, Esha Saha, Hao WangWildfire PredictionSatellite Imagery

  42. Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning

    Jun 15, 2026Tobias Jan Wieczorek, Leon de Andrade, Thomas Möllenhoff +1Bayesian Neural NetworksDeep Learning

  43. Leveraging Deep Learning for Object and Position Recognition of Load Carriers for Autonomous Logistics Vehicles

    Jun 14, 2026Christoph Legat, Tobias Miller, Marco RiessCategory-Level Object Pose EstimationRobotic Perception

  44. Trusting Right Predictions for Wrong Reasons: A LIME Based Analysis of Deep Learning Interpretability in Lung Cancer Diagnosis

    Jun 14, 2026Samarpan Poudel, Vladislav D VekslerNon-Small Cell Lung CancerModel Interpretability

  45. Agentic Framework for Deep Learning workload migration via In-Context Learning

    Jun 14, 2026Qiyue Liang, Steven Ingram, George Vanica +4PytorchSingle-Agent Baselines

  46. Ellipse Meets Bit-Planes: A Novel Approach to RNFL based Glaucoma Detection Using Advanced Image Processing and Deep Learning

    Jun 14, 2026Snigdha Paul, Sambit Mallick, Anindya SenImage ProcessingDeep Learning

  47. Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning

    Jun 14, 2026Dong Hyun Jeong, Feng Chen, Jin-Hee Cho +3Etsi-Compliant Class Activation MapInput Uncertainties

  48. The Data Manifold under the Microscope

    Jun 14, 2026Marios Koulakis, Constantin SeiboldStatistical ManifoldManifolds

  49. Schattor: Schatten-family methods for deep learning optimization

    Jun 14, 2026Bohao Ma, Junyu Zhang, Chuan HeStochastic OptimizationNeural Network Optimization

  50. When to use what Schatten-pp norm in deep learning?

    Jun 13, 2026Thomas PethickSpectral NormMuon

  51. Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion

    Jun 13, 2026Tan Zhou, Shifa Yao, Suncheng Xiang +2EchocardiographyCongenital Heart Disease

  52. Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals

    Jun 12, 2026Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki +2Emotion RecognitionEnsemble

  53. Towards Global AI-Driven Cervical Cancer Screening

    Jun 12, 2026Thuy Nuong Tran, Ömer Sümer, Evangelia Christodoulou +15Non-Small Cell Lung CancerLesion Segmentation

  54. Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning

    Jun 12, 2026Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-BeniPost-Disaster Damage AssessmentRemote Sensing

  55. Deep Learning in Seismic Interpretation: Federated Advances in Salt Dome Segmentation

    Jun 12, 2026Muhammad Zain Mehdi, Muhammad Zaid, Owais AleemSub-Surface Mineral Prospectivity ModellingFull Waveform Inversion

  56. An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification

    Jun 12, 2026Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4Tomato DiseasesApple Tree Leaf Disease Segmentation Dataset

  57. CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

    Jun 12, 2026Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza +3Tomato DiseasesApple Tree Leaf Disease Segmentation Dataset

  58. Improving Lunar Topography with Deep Learning Schrödinger Bridges

    Jun 12, 2026Matthew Repasky, Erwan Mazarico, Michael K. Barker +3Lunar SurfaceSchrödinger Bridges

  59. A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health

    Jun 12, 2026Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1Wearable DevicesDeep Learning

  60. DIFF-ERO: A Conformance-Aware Loss for Deep Learning in Process Mining

    Jun 12, 2026Johannes De Smedt, Jari Peeperkorn, Artem Polyvyanyy +1Architecture-Agnostic Loss FunctionCross-Entropy Losses