Neural Network Generalization

Ask about this topic

Momentum

21 papers in the last four weeks, up 600% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 204

All topics
CardsList

  1. On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions

    Nov 16, 2025Yulong Lu, Tong Mao, Jinchao Xu +1Neural Network GeneralizationNeural Network Approximation Theory

    School of Mathematics, University of Minnesota, Minneapolis, 55455, MN, USA · Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia · School of Mathematics, Georgia Institute of Technology, Atlanta, 30332, GA, USA

  2. DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

    Oct 20, 2025Kyum Kim, Yaqing Chen, Paromita DubeyNeural Network GeneralizationNeural Network Approximation Theory

    Rutgers University · University of Southern California

  3. Deep Neural Networks Inspired by Differential Equations

    Oct 9, 2025Yongshuai Liu, Lianfang Wang, Kuilin Qin +6Neural Network GeneralizationDynamic Neural Networks

    School of Mathematical Sciences, Beijing Normal University, Beijing, China · Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong

  4. Quantifying How Training Gradient Sparsity Affect Spiking Neural Network Accuracy And Robustness

    Sep 28, 2025Nhan Trong Luu, Duong Trung LuuNeural Network GeneralizationNeural Network Robustness

    College of Information and Communication Technology, Can Tho University, Vietnam · College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · Center of Digital Transformation and Communication, Can Tho University, Vietnam

  5. Neural Langevin Machine: a local asymmetric learning rule can be creative

    Jun 30, 2025Zhendong Yu, Weizhong Huang, Haiping HuangNeural Network GeneralizationImage Generation

    PMI Lab, School of Physics, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China · Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China

  6. GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing

    Jun 23, 2025Kejia Bian, Meixia Tao, Shu Sun +2Neural Network GeneralizationWireless Communications

    School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China · Shanghai Innovation Institute, Shanghai 200231, China

  7. Interpretability and Generalization Bounds for Learning Spatial Physics

    Jun 18, 2025Alejandro Francisco Queiruga, Theo Gutman-Solo, Shuai JiangNeural Network GeneralizationMechanistic Interpretability

    OpenAI, San Francisco, CA, USA · Google, Mountain View, CA, USA · Sandia National Laboratories, Albuquerque, NM, USA

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

    Jun 16, 2025Zhenyu Liao, Michael W. MahoneyRandom Matrix TheoryNeural Network Generalization

    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

  9. The Dynamics of Generalization in Deep Learning

    Apr 23, 2025Rubing Yang, Pratik ChaudhariNeural Network GeneralizationNeural Network Training Dynamics

    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

  10. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthNeural Network GeneralizationLearning with Missing Data

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

  11. Unified Enhancement of the Generalization and Robustness of Language Models via Bi-Stage Optimization

    Mar 19, 2025Yudao Sun, Juan Yin, Juan Zhao +3Adversarial TrainingNeural Network Generalization

    Department of New Networks, Peng Cheng Laboratory, Shenzhen 518055, China · Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore 117576 · School of Data Science and Artificial Intelligence, Chang’an University, Shaanxi, 710064, China

  12. Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon

    Mar 3, 2025Hao YuDouble DescentNeural Network Generalization

    Department of Automation, Tsinghua University, Beijing, 100086, China

  13. Networks with Finite VC Dimension: Pro and Contra

    Feb 4, 2025Vera Kurkova, Marcello SanguinetiNeural Network GeneralizationNeural Network Approximation Theory

    Institute of Computer Science of the Czech Academy of Sciences Pod Vodárenskou věží, 2 - 18207 Prague, Czech Republic · DIBRIS University of Genova Via Opera Pia, 13 - 16145 Genova, Italy

  14. Boosting Adversarial Robustness and Generalization with Dictionary Structure

    Feb 2, 2025Zhichao Hou, Weizhi Gao, Hamid Krim +2Neural Network GeneralizationAdversarial Robustness

    Department of Computer Science, North Carolina State University, Raleigh, USA.

  15. Universality of Benign Overfitting in Binary Linear Classification

    Jan 17, 2025Ichiro Hashimoto, Stanislav Volgushev, Piotr ZwiernikNeural Network GeneralizationBenign Overfitting

    Department of Statistical Sciences, University of Toronto

  16. Network Dynamics-Based Framework for Understanding Deep Neural Networks

    Jan 5, 2025Yuchen Lin, Yong Zhang, Sihan Feng +1Neural Network GeneralizationNeural Network Training Dynamics

    Department of Physics, Xiamen University, Xiamen 361005, China · 2Lanzhou Center for Theoretical Physics, Lanzhou University, Lanzhou 730000, China · 3Shenzhen Angel FOF Management Co., Ltd., Shenzhen 518000, China

  17. A Generalization Bound for Nearly-Linear Networks

    Jul 9, 2024Eugene GolikovNeural Network GeneralizationGeneralization Bounds

    Chair of Statistical Field Theory École Polytechnique Fédérale de Lausanne (EPFL)

  18. Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver

    May 3, 2024Changliang Zhou, Xi Lin, Zhenkun Wang +3Neural Network GeneralizationIntelligent Transportation Systems

    Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China · Huawei Noah’s Ark Lab, Hong Kong SAR, China +1

  19. Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets

    Mar 7, 2024Zixiong Yu, Guhan Chen, Jianfa Lai +2Neural Network GeneralizationResidual Learning

    Huawei Large Model Data Technology Lab, Shenzhen · Tsinghua University, Beijing · Kyoto University, Kyoto

  20. Adversarial Rademacher Complexity of Deep Neural Networks

    Nov 27, 2022Jiancong Xiao, Yanbo Fan, Ruoyu Sun +1Neural Network GeneralizationNeural Network Robustness

    The Chinese University of Hong Kong, Shenzhen Shenzhen, China · Nanjing University Suzhou, China

  21. A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks

    Oct 28, 2022Zhengdao Chen, Eric Vanden-Eijnden, Joan BrunaNeural Network GeneralizationNeural Network Optimization

    Google Research Mountain View, CA 94043 · Courant Institute, New York University New York, NY 10003

  22. Learning Non-Vacuous Generalization Bounds from Optimization

    Jun 9, 2022Chengli Tan, Jiangshe Zhang, Junmin Liu +1Neural Network GeneralizationStatistical Learning Theory

    Northwestern Polytechnical University, Xi’an, China · Xi’an Jiaotong University, Xi’an, China · SGIT AI Lab, State Grid Corporation of China, Xi’an, China

  23. A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

    Sep 6, 2021Yehuda Dar, Vidya Muthukumar, Richard G. BaraniukDouble DescentNeural Network Generalization

    Faculty of Computer and Information Science, Ben-Gurion University · Schools of Electrical and Computer Engineering, and Industrial and Systems Engineering, Georgia Institute of Technology · Electrical and Computer Engineering Department, Rice University

  24. Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis

    Date pendingQi Chen, Jierui Zhu, Florian ShkurtiVariational AutoencodersNeural Network Generalization

    Department of Computer Science, University of Toronto · Data Science Institute · Vector Institute +2