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58 papers in the last four weeks, up 115% on the four weeks before. 0.6% of all new papers.

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  1. SoftServe: A Scalable Quasi-Newton Method for Deep Learning

    Oct 1, 2026Joohwan Ko, Tetiana Parshakova, Diana Cai +1Neural Network OptimizationNewton

    University of Massachusetts Amherst · CCM, Flatiron Institute · Cornell University

  2. End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving Systems

    Oct 1, 2026Kartik B. KapseCausality-Aware End-To-End Autonomous DrivingIntelligent Transportation

    AI Engineering of Autonomous Systems, Dept. Electrical Engineering and IT, Technische Hochschule Ingolstadt

  3. Exposing the Cost of Deep Learning Audio Development

    Oct 1, 2026Constance Douwes, Paul Magron, Romain SerizelNeural AudioEnergy Consumption

    Universit´e de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France

  4. Open Vocabulary Word Recognition From Transcribed Bangla Texts

    Oct 1, 2026Faias Satter, Sk. Md. Masudul AhsanHandwritten Text RecognitionOptical Character Recognition

    Department of Computer Science and Engineering Khulna University of Engineering & Technology Khulna-9203, Bangladesh

  5. Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning

    Sep 30, 2026Syon Mansur, Joel ZylberbergBackpropagationLayer-Wise

    Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA 90095, USA

  6. Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations

    Sep 30, 2026Ruizhe Huang, Qidong Yang, Jonathan Giezendanner +1Data AssimilationEra5 Reanalysis Data

    Massachusetts Institute of Technology, Cambridge, MA, USA

  7. Attention Kernels for Learning Maps Between Heavy-Tailed Measures

    Sep 30, 2026Kailen Hargenrader, Edoardo Calvello, Bohan ChenTransformer AttentionLong-Tailed Distribution

    Computing and Mathematical Sciences California Institute of Technology · Lawrence Berkeley National Laboratory University of California, Berkeley ICSI

  8. Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification

    Sep 30, 2026Bhanu Prakash Vangala, Sowmya Guda, Latha Peddi +1Brain Tumor ClassificationMedical Imaging Datasets

    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211 USA · Government Degree College (Autonomous), Siddipet, Telangana 502103, India · Amar Biotech Private Limited, Kondapur, Hyderabad, Telangana 500084, India

  9. Hyperspectral Image Models: Technical Report

    Sep 30, 2026Tanishq Rachamalla, Aryan Das, Srishti Kaushik +1Hyperspectral ImageDeep Learning

    Department of Information Technology Siddhartha Academy of Higher Education Vijayawada, Andhra Pradesh 521108, India · Department of Computer Science and Engineering Vellore Institute of Technology Bhopal, Madhya Pradesh 466114, India · Department of Computer and Information Sciences Indira Gandhi National Open University New Delhi 110068, India +1

  10. WIPSNet: Deep Learning for Paediatric Wheeze Detection from Overnight Impedance Pneumography

    Sep 30, 2026Felix Oury, Harley Day, Karina Mayoral +3Respiratory MotionSleep

    Department of Computing, Imperial College London, London, United Kingdom · Department of Bioengineering, Imperial College London, London, United Kingdom · National Heart and Lung Institute and Centre for Paediatrics and Child Health, Imperial College London, London, United Kingdom; Department of Respiratory Paediatrics, Royal Brompton Hospital, London, United Kingdom +1

  11. Deep Learning for Anomaly Detection in Railway Systems: A Structured Survey

    Sep 30, 2026Ammar Bouketta, Smail Niar, Hamza OuarnoughiRelightingUnsupervised Detection

    Université Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, Valenciennes, France · Alstom, Crespin, France · Université Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, INSA Hauts-de-France, Valenciennes, France +1

  12. Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection

    Sep 29, 2026Mohamed Hazem, Tarek Waleed, Omar Khaled +8MelanomaCancer Detection

    Faculty of Engineering, Cairo University, Giza, Egypt · Dermatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt

  13. An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean

    Sep 29, 2026Fernando Dupin da Cunha Mello, Prashant Kumar, Erick G. Sperandio NascimentoAgricultural PredictionPrecision Agriculture

    Stricto Sensu Department, SENAI CIMATEC University, Salvador, Bahia, Brazil · Global Centre for Clean Air Research · Institute for Sustainability, University of Surrey, Guildford, GU2 7XH, United Kingdom +1

  14. Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models

    Sep 29, 2026Ümit Mert Çağlar, Alptekin TemizelTumor SegmentationDigital Pathology

    Graduate School of Informatics, METU, Ankara, Turkey

  15. Automated Screw Planning for Reduced Pelvic Fractures Based on Statistical Shape Models and Deep Learning

    Sep 29, 2026Yang Gao, Sutuke Yibulayimu, Yanzhen Liu +2Statistical Shape ModelDeep Learning

    Beijing Rossum Robot Technology Co., Ltd., Beijing, China. · The Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. · Beijing 101 High School International Department, Beijing, China.

  16. Reconstructing the Vocal Tract with Differentiable Acoustic Simulation

    Sep 29, 2026Eric Ming Chen, Jin Woo Lee, Vincent SitzmannVocal Tract ShapeAcoustic

    MIT CSAIL

  17. KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers

    Sep 28, 2026Boyu Zhang, Haorui LiTime Series Foundation ModelsTime Series Forecasting

    University of California, Los Angeles · Southeast University

  18. MAC-Net: A Multi-Task Deep Learning Framework for Modeling Cognitive Function From Task-Based fMRI

    Sep 27, 2026Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1Functional Magnetic Resonance ImagingMulti--Task Learning

    School of Health and Rehabilitation Sciences, The University of Queensland, QLD 4072, Australia · Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh

  19. Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence

    Sep 27, 2026Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1Developmental TrajectoriesBiomarker

    School of Health and Rehabilitation Sciences, The University of Queensland, QLD 4072, Australia · Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh

  20. Wearable ECG Quality Assessment: A Deep Learning and Ambulatory Context-Awareness Approach

    Sep 24, 2026Xiaopeng Mao, Marike Weisbjerg, Sadasivan PuthusserypadyArrhythmia ClassificationDeep Learning

    Health Technology department Technical University of Denmark Kongens Lyngby, Denmark

  21. Learnable Time-Frequency Masks for Explaining Time-Series Classifiers

    Sep 24, 2026Theresa Dahl Frehr, Francisco Pelayo, Lukas Raad +3Time-FrequencyDeep Learning

    Department of Applied Mathematics and Computer Science Technical University of Denmark

  22. Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors

    Sep 24, 2026Taiabur Rahman, Siddiqur Rahman, Muhammad Moniruzzaman +7Glaucoma DetectionDeep Learning

    AI-MIQA, www.ai-miqa.eu. · Vision Eye Institute and Hospital, Dhaka, 1205, Bangladesh. · China West Normal University, Nanchong, Sichuan, China.

  23. Monitoring Urban Traffic Dynamics at Fine Spatiotemporal Resolution Using Distributed Acoustic Sensing and Deep Learning

    Sep 23, 2026Hao Tian, Heng Cai, Xiaowei Chen +1Deep Learning

    Department of Geography, Texas A&M University, College Station, TX 77840, USA · Department of Geology and Geophysics, Texas A&M University, College Station, TX 77840, USA

  24. Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging

    Sep 23, 2026Luoyuan Zhang, Yiyang You, Ananya Tandri +4Image ReconstructionUltrasound

    University of North Carolina at Chapel Hill, Chapel Hill, NC, USA · Johns Hopkins University, Baltimore, MD, USA

  25. Riemannian Structure and Optimization for a Class of Low-Parametric Orthogonal Matrices

    Sep 23, 2026Ali Aliev, Maxim RakhubaRiemannian OptimizationOrthogonality

    HSE University

  26. A 3D Pose-Based Ensemble Framework for Cricket Shot Classification and Automated Biomechanical Analysis

    Sep 22, 2026Sourav Shome, M. D. Ashiquzzaman Rahad, Rameswar DebnathWifi-Csi 3D Human Pose EstimationBiomechanics

    Computer Science and Engineering Discipline Khulna University

  27. DeepFEAv2: Deep Learning for Transient Finite Element Analysis Beyond Structured Meshes

    Sep 22, 2026Georgios Triantafyllou, Panagiotis G. Kalozoumis, Dimitris K. IakovidisFinite Element MethodSurrogate Models

    Department of Computer Science and Biomedical Informatics, University of Thessaly, 2-4 Papasiopoulou st. 35131, Lamia, Greece

  28. A Distributional Optimisation Perspective on Combining Models in Deep Learning

    Sep 21, 2026Congye Wang, Yan Lin, Zheyang Shen +2Decentralized OptimizationEnsemble

    Newcastle University, UK

  29. Enhancing Shrimp Disease Detection via Deep Learning and Data Refinement for Resilient Aquaculture

    Sep 20, 2026Vinh Canh-Thanh Truong, Hai-Binh Pham, Ngoc Hong TranLeaf Disease ClassificationVision Transformer

    Computer Science Program Vietnamese-German University Ho Chi Minh City, Vietnam

  30. FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model

    Sep 17, 2026Zaynab Raounak, Camille LHermine, Zhiguo ZengPredictive MaintenanceHybrid Transformer

    Laboratoire Génie Industriel, CentraleSupélec, Université Paris-Saclay, France

  31. Noise-Robust Quantum State Characterization for Remote State Preparation with Deep Learning

    Sep 17, 2026Bo Tang, Zixuan Liao, Hao Li +9QubitPost-Quantum Cryptography

    State Key Laboratory of Photonics and Communications, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China · Department of Physics, Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China · Hefei National Laboratory, Hefei 230088, China +2

  32. Deep Learning-Based Classification of Cognitive and Resting States Using Electroencephalography Signals

    Sep 17, 2026K. A. Januka S. Fernando, Harshit SrivastavaElectroencephalographyDeep Learning

    School of Computing Technologies, RMIT University, 124 La Trobe Street, Melbourne, VIC 3000

  33. Special Lagrangian cones in Deep Learning

    Sep 17, 2026Tejas Kotwal, Govind MenonManifold PerspectiveAnisotropic Loss Landscapes

    Institute for Advanced Study, Princeton

  34. HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

    Sep 17, 2026Proloy Kumar Mondal, Md Kamran Hussin Chowdhury, Hoi Leong LeeMulti-Scale ConvolutionBrain Tumor Classification

    Department of Computer Science and Engineering, University of North Texas, Denton, Texas, USA · Inje University, Gimhae-si, Republic of Korea · Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis, Arau, Malaysia

  35. Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation

    Sep 16, 2026Xi Chen, Jianchuan Yang, Hongde Li +5Coronary AngiographyCardiovascular Risk Prediction

    Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. · Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. · Department of Cardiology, Laboratory of Cardiac Structure and Function at Institute of Cardiovascular Diseases, and Cardiac Structure and Function Research Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No.37 Guoxue Street, Chengdu 610041, P.R. China. +2

  36. Towards Transparent Diagnostics: Investigating Architectural Trade-offs and Explainability in Malaria Detection

    Sep 16, 2026Suman Kunwar, Avishek DangolDeep Learning

    DWaste, Baltimore, USA

  37. Deep learning emergent spacetime from fermionic spectral functions in holography

    Sep 16, 2026Koji Hashimoto, Hyun-Sik Jeong, Keun-Young Kim +2Quantum PhasesHolographic Reduced Representations

    Department of Physics, Kyoto University, Kyoto 606-8502, Japan · Asia Pacific Center for Theoretical Physics, Pohang 37673, Korea · Department of Physics, Pohang University of Science and Technology, Pohang 37673, Korea +3

  38. Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulations

    Sep 16, 2026Marcin Lawenda, Aleksandra Krasicka, David Caballero +2Wildfire PredictionAccurate Flood Prediction

    Poznan Supercomputing and Networking Center, Poznań, Poland · MeteoGrid, Madrid, Spain · Technical University of Czestochowa, Częstochowa, Poland

  39. COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads

    Sep 16, 2026Yukai Zhou, Hongfan WuInference WorkloadsFragmentation

  40. Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction

    Sep 15, 2026Miguel Esparza, Aydin Ayanzadeh Ahmad Mousavi, Ali MostafaviWildfire PredictionAccurate Flood Prediction

    Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA · Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD 21250, USA · Department of Mathematics and Statistics, American University, Washington, D.C. 20016, USA

  41. IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy

    Sep 15, 2026Alessandro Camilletti, Gabriele Franch, Elena Tomasi +1Precipitation NowcastingForecasting Backbone

    Fondazione Bruno Kessler

  42. High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

    Sep 15, 2026Diana A. BistrianDigital TwinsDynamic Mode Decomposition

    University Politehnica Timisoara, Department of Electrical Engineering and Industrial Informatics, Romania

  43. Can Deep Learning Achieve Cross-Physics Mapping?

    Sep 15, 2026Pengfei Zhu, Julien Lecompagnon, Mathias ZieglerScalar FieldDeep Learning

    Bundesanstalt für Materialforschung and -prüfung (BAM), 12205 Berlin, Germany

  44. FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software

    Sep 14, 2026Archit Rathod, Saeid Tizpaz-NiariAlgorithmic FairnessLarge Language Model Bias

    University of Illinois at Chicago Chicago, USA

  45. Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data

    Sep 14, 2026LiYang Wang, Zhen Zhong, Zhen Tian +2Credit Risk PredictionEarly Warning

    Washington University in St. Louis · Washington University in St. Louis, St. Louis, MO, USA · Georgetown University +5

  46. Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer

    Sep 14, 2026Ali Bou Nassif, Darko Castven, Manar Abu Talib +4CholangiocarcinomaCancer Detection

    Department of Computer Engineering, College of Computing and Informatics University of Sharjah, Sharjah, United Arab Emirates · Department of Medicine I, University Medical Center Schleswig-Holstein, University of Lubeck, Lübeck, Germany · Department of Computer Science, College of Computing and Informatics University of Sharjah, Sharjah, United Arab Emirates +1

  47. SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction

    Sep 14, 2026Daniel Woortmann, Tanguy Magne, Olga Sorkine-HornungSynthetic-To-Real Domain GapLarge-Scale 3D Editing Dataset

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092 Zurich, Switzerland

  48. Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models

    Sep 14, 2026Timothy C Sweeney-Fanelli, Ajan Ahmed, Masudul ImtiazSmall-Sample Electroencephalogram DatasetsEmotion Recognition

    Clarkson University, USA · Affects AI LLC, USA

  49. Efficient AI Model Deployment Using Quantization Analysis Tool

    Sep 14, 2026Dwith Chenna, Kanishka MacherlaQuantizedArtificial Intelligence Deployment

    Electrical and Computer Engineering Department University of Maryland College Park, MD, USA

  50. On the Regularization Landscape for the Linear Recommendation Models

    Sep 12, 2026Dong Li, Zhenming Liu, Ruoming Jin +4Real-World Content Recommendation ProblemLow-Rank Structure

    Kent State University, USA · College of William and Mary, USA · iLambda, USA

  51. Thinking with Looped Flows

    Sep 12, 2026Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3Deep LearningRecurrent State

    EPFL · AITHYRA · KAIST +4

  52. Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

    Sep 11, 2026Ken Chen, Maneesha Perera, Wei Wang +3Energy ForecastingSolar Irradiance

    Department of Mechanical Engineering, The University of Melbourne, Melbourne, Australia · Department of Mechanical Engineering, Sri Lanka Institute of Information Technology, Sri Lanka

  53. Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature

    Sep 11, 2026Pablo Ramirez AmadorLung-Nodule Artificial IntelligenceMedical Images

    Universidad Abierta Interamericana. Faculty of Computer Technology. Center for Advanced Studies in Computer Technology. Buenos Aires, Argentina.

  54. Beyond Contact Sensors: Deep learning with Pseudo-Labeling for remote Photoplethysmography

    Sep 9, 2026Bhargav Acharya, Barbara Hammer, Hanna DrimallaRemote PhotoplethysmographyPseudo-Label Quality

    Center for Cognitive Interaction Technology (CITEC), Bielefeld University

  55. The Surprising Effectiveness of Approximate Value Iteration in Self-Play

    Sep 8, 2026Raphael Boige, Amine Boumaza, Bruno ScherrerSelf-PlayMonte Carlo Tree Search

    Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France

  56. Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU

    Sep 8, 2026Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong LiuIntensive Care UnitAlarm Fatigue

    Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA · Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA · Institute for Analysis and Numerics, University of Münster, Germany +1

  57. Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data

    Sep 7, 2026Mobina Mobaraki, Mahyar Asadi, Klaske Van Heusden +1Defect DetectionDefect

    University of British Columbia- Vancouver campus, 2329 West Mall, Vancouver, V6T 1Z4, British Columbia, Canada · Novarc Technologies Inc., 1225 E Keith Rd, North Vancouver, V7J 1J3, British Columbia, Canada · University of British Columbia, Kelowna campus, 3333 University Way, Kelowna, V1V 1V7, British Columbia, Canada

  58. Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images

    Sep 7, 2026Alexandros Papadopoulos, Chrysa Episkopou, Ioannis Sarafis +2MelanomaSkin Lesion Classification

    School of Electrical and Computer Engineering Aristotle University of Thessaloniki, Greece · First Department of Dermatology Aristotle University of Thessaloniki, Greece

  59. The Blind Spot in 2D Infants' Pose Estimation:Robust Learning from Noisy Annotations

    Sep 3, 2026Emanuele Cardinale, Marco Proietti, Alessandro Cacciatore +3Noisy LabelsKeypoint Detection

    Department of Engineering and Geology, Università degli Studi “G. d’Annunzio” Chieti-Pescara, Pescara, 65127, Italy · Department of Political Science, Communication and International Relations, University of Macerata, Macerata, 62100, Italy · Laboratory of Computational Oncology, Department of Oncology, KU Leuven, Leuven, 3000, Belgium +3

  60. Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

    Sep 2, 2026Philipp Schlinge, Jean-Luc Schnipper, Martin AtzmuellerGeneralist Graph Anomaly DetectionDeep Learning

    Osnabrück University, 49074 Osnabrueck,Germany · German Research Centre for Artificial Intelligence (DFKI), 49084 Osnabrück, Germany