{"total":22,"rows":[{"id":"2102.04626","title":"Physics-informed neural networks with hard constraints for inverse design","created":"2021-02-09","cited_by_count":280,"area":null},{"id":"2201.07395","title":"Overview frequency principle/spectral bias in deep learning","created":"2022-01-19","cited_by_count":69,"area":null},{"id":"2212.06347","title":"Reliable extrapolation of deep neural operators informed by physics or sparse observations","created":"2022-12-13","cited_by_count":62,"area":null},{"id":"2105.14573","title":"Embedding Principle of Loss Landscape of Deep Neural Networks","created":"2021-05-30","cited_by_count":38,"area":null},{"id":"2210.06640","title":"Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities","created":"2022-10-13","cited_by_count":38,"area":null},{"id":"2104.10873","title":"Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains","created":"2021-04-22","cited_by_count":37,"area":null},{"id":"2105.11686","title":"Towards Understanding the Condensation of Neural Networks at Initial Training","created":"2021-05-25","cited_by_count":32,"area":null},{"id":"2111.15527","title":"Embedding Principle: a hierarchical structure of loss landscape of deep neural networks","created":"2021-11-30","cited_by_count":22,"area":null},{"id":"2108.05568","title":"A Contract Theory based Incentive Mechanism for Federated Learning","created":"2021-08-12","cited_by_count":13,"area":null},{"id":"2210.03426","title":"Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs","created":"2022-10-07","cited_by_count":8,"area":null},{"id":"2106.10911","title":"Approximation capabilities of measure-preserving neural networks","created":"2021-06-21","cited_by_count":4,"area":null},{"id":"2210.09617","title":"Protecting Split Learning by Potential Energy Loss","created":"2022-10-18","cited_by_count":3,"area":null},{"id":"2305.15835","title":"PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion","created":"2023-05-25","cited_by_count":3,"area":null},{"id":"2302.00328","title":"Learning Functional Transduction","created":"2023-02-01","cited_by_count":2,"area":null},{"id":"2502.12125","title":"Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy","created":"2025-02-17","cited_by_count":2,"area":null},{"id":"2511.05982","title":"Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey","created":"2025-11-08","cited_by_count":2,"area":null},{"id":"2102.04890","title":"On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations","created":"2021-02-09","cited_by_count":1,"area":null},{"id":"2108.08244","title":"Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space","created":"2021-08-18","cited_by_count":1,"area":null},{"id":"2312.10978","title":"Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation","created":"2023-12-18","cited_by_count":1,"area":null},{"id":"2201.12198","title":"Limitation of Characterizing Implicit Regularization by Data-independent Functions","created":"2022-01-28","cited_by_count":0,"area":null},{"id":"2308.00858","title":"Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes","created":"2023-08-01","cited_by_count":0,"area":null},{"id":"2512.20319","title":"Deep Learning Classification of EEG Responses to Multi-Dimensional Transcranial Electrical Stimulation","created":"2025-12-23","cited_by_count":0,"area":null}],"next_cursor":null}