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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. Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU

    Apr 16, 2026Marcin Spoczynski, Daniel Fleischer, Moshe Berchansky +5Graphics Processing Unit KernelsCuda

    Intel Corporation

  2. xFODE: An Explainable Fuzzy Additive ODE Framework for System Identification

    Apr 16, 2026Ertugrul Kececi, Tufan KumbasarSystem IdentificationFuzzy

    AI and Intelligent Systems Laboratory, Istanbul Technical University, 34469, Istanbul, Türkiye

  3. Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Model

    Apr 16, 2026Adelekun Oluwademilade, Ademola Adedamola, Abiola Abdulhakeem +7Emotion RecognitionDiscrete Speech Representations

    Department of Electrical Electronics and Telecommunications Engineering, Bells University of Technology, P.M.B. 1015, Ota, Ogun State, Nigeria · New Horizons Bells University of Technology, P.M.B. 1015, Ota, Ogun State, Nigeria · Department of Computer Engineering, Bells University of Technology, P.M.B. 1015, Ota, Ogun State, Nigeria +1

  4. Zeroth-Order Optimization at the Edge of Stability

    Apr 16, 2026Minhak Song, Liang Zhang, Bingcong Li +3Zeroth-Order OptimizationZeroth-Order

    KAIST · KRAFTON · ETH Zurich +2

  5. VISTA: Validation-Informed Trajectory Adaptation via Self-Distillation

    Apr 13, 2026Eli Corn, Daphna WeinshallParameter-Efficient AdaptationRobust Trajectory

    Department of Computer Science, Hebrew University of Jerusalem, Jerusalem, Israel.

  6. Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers

    Apr 13, 2026I. Esra BuyuktahtakinSequential Decision MakingUncertainty-Aware Classification

    Grado Department of Industrial and Systems Engineering, Virginia Tech Blacksburg, VA 24061, USA

  7. Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization

    Apr 13, 2026Ben Isselmann, Dilara Göksu, Heinz Neumann +1MicroscopySelf-Supervised Learning

    Department of Mathematics and Natural Sciences, Hochschule Darmstadt, Schoefferstraße 3, Darmstadt, 64295, Hessen, Germany. · Department of Chemical Engineering and Biotechnology, Hochschule Darmstadt, Stephanstrasse 7, Darmstadt, 64295, Hessen, Germany. · European University of Technology, European Union. +1

  8. Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction

    Mar 26, 2026Matteo Salis, Gabriele Sartor, Rosa Meo +2Physics-Guided Machine LearningDeep Learning

    Computer Science Department, University of Turin, Turin, Italy · LISTIC Laboratory, Université Savoie Mont Blanc, Annecy-le-vieux, France · Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino and University of Turin, Turin, Italy

  9. Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy

    Mar 20, 2026Carolin Teuber, Anwai Archit, Tobias Boothe +3MicroscopyRecent Vision Foundation Models

    Georg-August-University Göttingen, Institute of Computer Science · Department of Tissue Dynamics and Regeneration, Max Planck Institute for Multidisciplinary Sciences, Göttingen · Georg-August-University Göttingen, Faculty of Biology and Psychology +3

  10. Deep Learning Network-Temporal Models For Traffic Prediction

    Mar 12, 2026Yufeng Xin, Ethan FanAccurate Traffic ForecastingMultivariate Time-Series

    RENCI, University of North Carolina at Chapel Hill Chapel Hill, NC, USA

  11. Bound to Disagree: Generalization Bounds via Certifiable Surrogates

    Feb 26, 2026Mathieu Bazinet, Valentina Zantedeschi, Pascal GermainGeneralization BoundsSurrogate Models

    1Département d’informatique et génie logiciel, Université Laval, Québec, Qc, Canada · 2ServiceNow Research, Montreal, Qc, Canada

  12. BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning

    Feb 25, 2026Mingi Kim, Yongjun Kim, Jungwoo Kang +1Computer-Aided Design ObjectsMultimodal Large Language Models

    Chungnam National University, Daejeon, Republic of Korea

  13. PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems

    Feb 21, 2026Nnaemeka Obiefuna, Samuel Oyeneye, Similoluwa Odunaiya +2Privacy-Utility Trade-OffsPrivacy

    1ML Collective · 2Friedrich-Alexander-Universität Erlangen-Nürnberg · 3Carnegie Mellon University

  14. Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

    Feb 17, 2026Lucas Sancéré, Noémie Moreau, Katarzyna BozekMelanomaWhole-Slide Images

    Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, North Rhine-Westphalia, Germany · Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, North Rhine-Westphalia, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, North Rhine-Westphalia, Germany +1

  15. Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis

    Feb 12, 2026Hua Xu, Julián D. Arias-Londoño, Juan I. Godino-LlorenteCalibrated UncertaintyMedical Images

    Escuela Técnica Superior de Ingenieros de Telecomunicación Universidad Politécnica de Madrid 28040, Madrid, Spain

  16. Separation-Utility Pareto Frontier: An Information-Theoretic Characterization

    Feb 4, 2026Shizhou XuSeparabilityPrivacy-Utility Trade-Offs

    Department of Mathematics University of California Davis Davis, CA 95616, USA

  17. Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning

    Feb 1, 2026Pietro Carlotti, Nevena Gligić, Arya FarahiEvidential UncertaintyUncertainty-Aware Classification

    Department of Statistics and Data Sciences University of Texas at Austin

  18. Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation

    Jan 22, 2026Shams Nafisa Ali, Taufiq HasanSemi-Supervised Medical Image SegmentationFeature Pyramid

  19. Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions

    Jan 13, 2026Tammar Truzman, Matthew A. Lambon Ralph, Ajay D. HalaiLesion SegmentationMagnetic Resonance Imaging Dataset

    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK

  20. A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

    Dec 24, 2025Christina Liu, Alan Q. Wang, Joy Hsu +2Medical ImagesMultimodal Clinical Data

    California Institute of Technology, Pasadena, CA 91125 · Stanford University, Stanford, CA 94305

  21. LeafTrackNet: A Deep Learning Framework for Robust Leaf Tracking in Top-Down Plant Phenotyping

    Dec 15, 2025Shanghua Liu, Majharulislam Babor, Christoph Verduyn +4Tomato DiseasesYolo26

    Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany · BASF Belgium Coordination Center CommV, Belgium · BASF Metabolome Solutions GmbH, Germany +2

  22. From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection

    Dec 11, 2025Chaomeng Lu, Bert LagaisseModel VulnerabilitiesBenchmark Datasets

    DistriNet Group-T, KU Leuven · Leuven, Belgium

  23. Time Series Foundation Models for Process Model Forecasting

    Dec 8, 2025Yongbo Yu, Jari Peeperkorn, Johannes De Smedt +1Time Series Foundation ModelsTime Series

    Research Center for Information Systems Engineering (LIRIS), KU Leuven, Belgium

  24. FairLRF: Achieving Fairness through Sparse Low Rank Factorization

    Nov 20, 2025Yuanbo Guo, Jun Xia, Yiyu ShiAlgorithmic FairnessFairness Audits

    University of Notre Dame Notre Dame, Indiana, USA

  25. Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity

    Oct 29, 2025Bakytzhan Alibekov, Alina Gutoreva, Elisa Raffaella-FerreGravityNeuroscience

    School of IT & Engineering, Kazakh-British Technical University, 050000, Tole bi 59, Almaty, Kazakhstan. · School of Psychological Sciences, Birkbeck University of London, Malet St, London WC1E 7HX, United Kingdom.

  26. Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset

    Oct 13, 2025Nivea Roy, Son Tran, Atul Sajjanhar +4Deep Learning

    School of Information Technology, Deakin University, Burwood, Australia · Department of Head and Neck Surgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India · Department of Radiodiagnosis and Imaging, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India +1

  27. Why Do We Need Warm-up? A Theoretical Perspective

    Oct 3, 2025Foivos Alimisis, Rustem Islamov, Aurelien LucchiWarm StartsBatch

    University of Basel, Switzerland

  28. VRWKV-Editor: Reducing quadratic complexity in transformer-based video editing

    Sep 30, 2025Abdelilah Aitrouga, Youssef Hmamouche, Amal El Fallah SeghrouchniVideo EditingSpatio-Temporal Attention

    International Artificial Intelligence Center of Morocco University Mohammed VI Polytechnic Rabat, Morocco · Sorbonne University, LIP6 - UMR 7606 CNRS, France

  29. Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images

    Sep 29, 2025Mohammadmahdi Eshragh, Emad A. Mohammed, Behrouz Far +4Lesion SegmentationFundus Images

    Department of Electrical & Software Engineering, University of Calgary, Canada. · Department of Computer Science and Physics, Wilfrid Laurier University, Waterloo, Canada. · Dept of Ophthalmology & Visual Sciences, University of Alberta, Edmonton, Canada. +2

  30. Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

    Sep 26, 2025João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa +1Fault DiagnosisLeakage

    Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

  31. Shoot from the HIP: Hessian Interatomic Potentials without derivatives

    Sep 25, 2025Andreas Burger, Luca Thiede, Nikolaj Rønne +5HessianInteratomic Potentials

    University of Toronto · Vector Institute for Artificial Intelligence · Technical University of Denmark +4

  32. Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

    Sep 15, 2025Milan Marocchi, Matthew Fynn, Kayapanda Mandana +1CardiacDeep Learning

    School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS), Faculty of Science and Engineering, Curtin University, Bentley, WA 6102, Australia · Department of Cardiology, Fortis Healthcare, Kolkata, 7007107, West Bengal, India

  33. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

    Sep 8, 2025Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang +3Graph Neural NetworksDiscrete Choice Models

    aDepartment of Urban and Regional Planning, University of Florida · dDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology · bCollege of Architecture, Texas A&M University +1

  34. Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

    Sep 5, 2025Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1Data AugmentationMultimodal Neuroimaging

    Department of Computer Science Concordia University Montreal, QC H3G 1M8, Canada · Department of Computer Science Concordia University2026 Montreal, QC H3G 1M8, Canada · Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health Toronto, ON M5T 0S8, Canada +1

  35. Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

    Aug 25, 2025Nisreen Albzour, Sarah S. LamCancer DetectionDeep Learning

    Binghamton University, Binghamton, NY, USA

  36. Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study

    Aug 19, 2025James K Ruffle, Samia Mohinta, Guilherme Pombo +13Brain Tumor ClassificationBrain Tumor Segmentation

    Queen Square Institute of Neurology, University College London, London, UK · Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK · NVIDIA, UK +8

  37. L-SR1: Learned Symmetric-Rank-One Preconditioning

    Aug 17, 2025Gal Lifshitz, Shahar Zuler, Ori Fouks +1Spectral PreconditioningAdaptive Optimizers

    Tel Aviv University, Tel Aviv, Israel.

  38. How Causal Abstraction Underpins Computational Explanation

    Aug 15, 2025Atticus Geiger, Jacqueline Harding, Thomas IcardCausal Representation LearningCognitive Science

  39. Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution

    Aug 6, 2025Zahra Mohammadi, Parnian Fazel, Siamak MohammadiSleepElectrocardiogram Classification

    School of Electrical and Computer Engineering, University of Tehran.

  40. Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing

    Aug 4, 2025Jeanne I. M. Parmentier, Rhana M. Aarts, Elin Hernlund +2Respiratory MotionHeart Rate

    Utrecht University · University of Twente · Inertia Technology B.V +5

  41. Endoscopic Depth Estimation Based on Deep Learning: A Survey

    Jul 28, 2025Ke Niu, Zeyun Liu, Xue Feng +5Depth EstimationDeep Learning

    School of Computer Science, Beijing Information Science and Technology University, Beijing, China · Faculty of Biomedical Engineering, Shenzhen University of Advanced Technology, Shenzhen, China · Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

  42. Optimizing Canaries for Privacy Auditing with Metagradient Descent

    Jul 21, 2025Matteo Boglioni, Terrance Liu, Andrew Ilyas +1Stochastic Gradient DescentMembership Inference Attacks

    Carnegie Mellon University · Stanford Statistics

  43. Converting T1-weighted MRI from 3T to 7T quality using deep learning

    Jul 18, 2025Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12Magnetic Resonance ImagingDeep Learning

    Department of Clinical Sciences Malmö, SciLifeLab, Lund University, Lund, Sweden · Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France · Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden +8

  44. Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models

    Jun 16, 2025Zhenyu Liao, Michael W. MahoneyHigh-DimensionalIntrinsic Dimensionality

    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China · ICSI, LBNL, and Department of Statistics, University of California, Berkeley, USA

  45. scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics

    Jun 2, 2025Davide D'Ascenzo, Sebastiano Cultrera di MontesanoPytorchDeep Learning

    Department of Computer Science, University of Milan, Milan, Italy · Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy · Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

  46. Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation

    May 30, 2025Andreas Spilz, Heiko Oppel, Michael MunzMusculoskeletalBiomechanics

    AI for Sensor Data Analytics Research Group, Ulm University of Applied Sciences, Ulm, 89081, Germany

  47. Gibbs randomness-compression proposition

    May 29, 2025M. SüzenGibbsRandom

  48. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network

    Donostia International Physics Center, Paseo Manuel de Lardizabal 4, E-20018 San Sebastián, Spain · Multiverse Computing, Spadina Ave., Toronto, ON M5T 2C2, Canada · Multiverse Computing, Paseo de Miramón 170, E-20014 San Sebastián, Spain

  49. Bayesian Deep Learning for Discrete Choice

    May 23, 2025Daniel F. Villarraga, Ricardo A. DazianoDiscrete Choice ModelsBayesian Neural Networks

    School of Civil and Environmental Engineering, Cornell University, 220 Hollister Hall, Ithaca, NY 14853, USA

  50. Semantic Correspondence: Unified Benchmarking and a Strong Baseline

    May 23, 2025Kaiyan Zhang, Xinghui Li, Jingyi Lu +1Ground-Truth CorrespondenceComputer Vision

    University of Hong Kong, Hong Kong · Department of Engineering, University of Oxford, OX1 3PJ Oxford, U.K.

  51. From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation

    May 21, 2025Quanwei Liu, Tao Huang, Jiaqi Yang +1Remote Sensing Image SegmentationRemote Sensing

    College of Science and Engineering, James Cook University, Cairns QLD 4878, Australia · Center for AI and Data Science Innovation, James Cook University, Cairns QLD 4878, Australia · Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706 USA +1

  52. When majority rules, minority loses: bias amplification of gradient descent

    May 19, 2025François Bachoc, Jérôme Bolte, Ryan Boustany +1MinorityImbalanced Classification

    LPP · University of Lille · Institut Universitaire de France (IUF) +6

  53. On the O(dK1/4)O(\frac{\sqrt{d}}{K^{1/4}}) Convergence Rate of AdamW Measured by ℓ1\ell_1 Norm

    May 17, 2025Huan Li, Yiming Dong, Zhouchen LinAdamConvergence

    Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin, China. · National Key Lab of General AI, School of Intelligence Science and Technology, Peking University, Beijing, China.

  54. Towards Understanding Deep Learning Model in Image Recognition via Coverage Test

    May 12, 2025Wenkai Li, Xiaoqi Li, Yingjie Mao +1Deep Learning

    Hainan University Haikou, China

  55. The Dynamics of Generalization in Deep Learning

    Apr 23, 2025Rubing Yang, Pratik ChaudhariGradient DescentOverparameterization

    Department of Applied Mathematics and Computational Sciences, University of Pennsylvania Philadelphia, PA, 19104, USA · Department of Electrical and Systems Engineering, University of Pennsylvania Philadelphia, PA, 19104, USA

  56. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthImputationExponential Family

    Statistical Laboratory, University of Cambridge · Department of Statistics, London School of Economics

  57. Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks

    Mar 13, 2025Eirik Høyheim, Lars Skaaret-Lund, Solve Sæbø +1Bayesian Neural NetworksDeep Learning

    Bioinformatics and applied statistics (BIAS), Norwegian University of Life Sciences, Ås, Norway

  58. Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability

    Mar 10, 2025Mukesh Sahani, Binanda SenguptaDeep Learning

    Indian Institute of Technology (Indian School of Mines) Dhanbad, India · Indian Institute of Engineering Science and Technology, Shibpur, India

  59. Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications

    Mar 3, 2025Yuchen Xiang, Zhaolu Liu, Monica Emili Garcia-Segura +12Hyperspectral Image Super-ResolutionHyperspectral Image

    Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK · Department of Mathematics, Imperial College London, London, UK · Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK +4

  60. Preconditioned Inexact Stochastic ADMM for Deep Model

    Feb 15, 2025Shenglong Zhou, Ouya Wang, Ziyan Luo +2Stochastic Gradient DescentAlternating Direction Method Of Multiplier

    School of Mathematics and Statistics, Beijing Jiaotong University, China · ITP Lab, Department of EEE, Imperial College London, UK · National Mobile Communications Research Laboratory, Southeast University, China