BJ
Bangti Jin
cs.NAmath.NAmath.APmath.OCcs.LGcs.CVeess.IVstat.MLmath.STstat.TH
On Valency
published · living versionsW_35mbtvgq·v1 · currentpublished
The Symmetry of Differential Neural Tangent Kernel under the Orthogonal Group
with Longjun Wu
1 version
Preprints & journals
154 papers in the corpus · 2009–2026A Hybrid Iterative Deep Ritz Method for Elliptic Interface Problems2609.27325v1 · Tianhao Hu, Bangti Jin, Fengru Wang et al.2026 · 0 citationsarXiv
On the Uniqueness of a Nonlinear Discrete Calderón Problem2609.15175v1 · Elena Beretta, Maolin Deng, Alberto Gandolfi et al.2026 · 0 citationsarXiv
Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle2609.12396v1 · Bangti Jin, Zehui Zhou2026 · 0 citationsarXiv
Error Analysis of the Inverse Conductivity Problem with Scattered Measurements2608.25749v1 · Bangti Jin, Qimeng Quan, Wenlong Zhang2026 · 0 citationsarXiv
On the extreme eigenvalues of the Gram Matrix in Physics-Informed Neural Networks for the Poisson Equation2608.22426v1 · Bangti Jin, Longjun Wu2026 · 0 citationsarXiv
Stability and Reconstruction of a Nonlinearity in a Parabolic Equation from Partial Boundary Data2608.17888v1 · Jason Choy, Maolin Deng, Bangti Jin et al.2026 · 0 citationsarXiv
Stability of Electrical Impedance Tomography with Anisotropies and its Application to the Deep Caldeón Method2608.03053v1 · Tianhao Hu, Bangti Jin, Yiran Wang2026 · 0 citationsarXiv
The Differential Neural Tangent Kernel and Its Positivity2607.10200v1 · Bangti Jin, Longjun Wu2026 · 0 citationsarXiv
Convergence of stochastic gradient methods for wide two-layer physics-informed neural networks for the Poisson equation.42431086 · Jin, Bangti, Wu, Longjun2026 · 0 citationsNeural networks : the official journal of the International Neural Network Society. 2027;205(Pt A):109335
Numerical Analysis of Space-Time Dependent Source Identification in Subdiffusion Equations2605.05579v2 · Siyu Cen, Bangti Jin, Yavar Kian et al.2026 · 0 citationsarXiv
Stability Estimates for the Inverse Problem of Reconstructing Point sources in Parabolic Equations2603.09099v1 · Kuang Huang, Bangti Jin, Yavar Kian et al.2026 · 0 citationsarXiv
Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements2603.09248v1 · Fangyu Gong, Bangti Jin, Yavar Kian et al.2026 · 0 citationsarXiv
Unique Determination of Variable Order in Subdiffusion from a Single Measurement2602.23037v1 · Jiho Hong, Bangti Jin, Yavar Kian2026 · 0 citationsarXiv
On the consistency of the posterior distribution for nonlinear PDE parameter identification2601.17805v2 · Yuxin Fan, Bangti Jin2026 · 0 citationsarXiv
Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach Spaces2601.13110v1 · Bangti Jin, Zeljko Kereta, Yuxin Xia2026 · 1 citationarXiv
A Stable Iterative Direct Sampling Method for Elliptic Inverse Problems with Partial Cauchy Data2511.08171v1 · Bangti Jin, Fengru Wang, Jun Zou2025 · 0 citationsarXiv
An Iterative Direct Sampling Method for Reconstructing Moving Inhomogeneities in Parabolic Problems2511.08197v1 · Bangti Jin, Fengru Wang, Jun Zou2025 · 0 citationsarXiv
On the convergence of stochastic variance reduced gradient for linear inverse problems2510.14759v2 · Bangti Jin, Zehui Zhou2025 · 1 citationarXiv
A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography2510.05926v1 · Ruchi Guo, Jiahua Jiang, Bangti Jin et al.2025 · 0 citationsarXiv
On the uniqueness of the discrete Calderon problem on multi-dimensional lattices2509.18203v2 · Maolin Deng, Bangti Jin2025 · 0 citationsarXiv
Solving Inverse Acoustic Obstacle Scattering Problem with Phaseless Far-Field Measurement Using Deep Neural Network Surrogates2509.04747v1 · Yuxin Fan, Jiho Hong, Bangti Jin2025 · 0 citationsarXiv
Numerical Analysis of Unsupervised Learning Approaches for Parameter Identification in PDEs2508.15381v1 · Siyu Cen, Bangti Jin, Qimeng Quan et al.2025 · 0 citationsarXiv
Conditional Stability and Numerical Reconstruction of a Parabolic Inverse Source Problem Using Carleman Estimates2508.15406v1 · Tianhao Hu, Xinchi Huang, Bangti Jin et al.2025 · 0 citationsarXiv
Deep Learning Based Reconstruction Methods for Electrical Impedance Tomography2508.06281v1 · Alexander Denker, Fabio Margotti, Jianfeng Ning et al.2025 · 2 citationsarXiv
Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion2507.06524v2 · Jiho Hong, Bangti Jin, Yavar Kian2025 · 0 citationsarXiv
Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement2506.17648v1 · Maolin Deng, Ali Feizmohammadi, Bangti Jin et al.2025 · 0 citationsarXiv
Numerical Approximation and Analysis of the Inverse Robin Problem Using the Kohn-Vogelius Method2506.07370v1 · Erik Burman, Siyu Cen, Bangti Jin et al.2025 · 0 citationsarXiv
Deep asymptotic expansion method for solving singularly perturbed time-dependent reaction-advection-diffusion equations2505.23002v2 · Qiao Zhu, Dmitrii Chaikovskii, Bangti Jin et al.2025 · 0 citationsarXiv
Direct Algorithms for Reconstructing Small Conductivity Inclusions in Subdiffusion2505.22245v1 · Jiho Hong, Bangti Jin, Zhizhang Wu2025 · 0 citationsarXiv
Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow2505.13776v1 · Bangti Jin, Jing Li, Yifeng Xu et al.2025 · 0 citationsMathematics of Computation, 2026
On the Crouzeix-Raviart Finite Element Approximation of Phase-Field Dependent Topology Optimization in Stokes Flow2505.04120v1 · Bangti Jin, Jing Li, Yifeng Xu et al.2025 · 0 citationsInternational Journal for Numerical Methods in Engineering, 2025
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.40030859 · Barbano, Riccardo, Denker, Alexander, Chung, Hyungjin et al.2025 · 10 citationsIEEE transactions on medical imaging. 2025;44(5):2093-2104
Stable Determination and Reconstruction of a Quasilinear Term in an Elliptic Equation2504.09167v1 · Jason Choy, Maolin Deng, Bangti Jin et al.2025 · 0 citationsarXiv
Adaptive Approximations of Inclusions in a Semilinear Elliptic Problem Related to Cardiac Electrophysiology2504.04483v1 · Bangti Jin, Fengru Wang, Yifeng Xu2025 · 1 citationIMA Journal of Numerical Analysis, 2025
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data2503.00423v1 · Kazufumi Ito, Bangti Jin, Fengru Wang et al.2025 · 5 citationsarXiv
An Iterative Deep Ritz Method for Monotone Elliptic Problems2501.15186v1 · Tianhao Hu, Bangti Jin, Fengru Wang2025 · 1 citationarXiv
The discrete inverse conductivity problem solved by the weights of an interpretable neural network2501.00345v1 · Elena Beretta, Maolin Deng, Alberto Gandolfi et al.2024 · 3 citationsarXiv
Point Source Identification in Subdiffusion from A Posteriori Internal Measurement2412.08220v1 · Kuang Huang, Bangti Jin, Yavar Kian et al.2024 · 2 citationsarXiv
Theory and Fast Learned Solver for -TV Regularization2412.03269v1 · Xinling Liu, Jianjun Wang, Bangti Jin2024 · 0 citationsarXiv
Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks2412.00527v1 · Siyu Cen, Bangti Jin, Xiyao Li et al.2024 · 3 citationsarXiv
Stochastic Convergence Analysis of Inverse Potential Problem2410.14106v2 · Bangti Jin, Qimeng Quan, Wenlong Zhang2024 · 0 citationsarXiv
On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows2409.00619v1 · Kuang Huang, Bangti Jin, Zhi Zhou2024 · 0 citationsarXiv
Point Source Identification Using Singularity Enriched Neural Networks2408.09143v1 · Tianhao Hu, Bangti Jin, Zhi Zhou2024 · 1 citationarXiv
Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion2407.19146v1 · Bangti Jin, Qimeng Quan, Barbara Wohlmuth et al.2024 · 4 citationsarXiv
Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion2407.02193v2 · Jiho Hong, Bangti Jin, Yavar Kian2024 · 6 citationsarXiv
Numerical Recovery of the Diffusion Coefficient in Diffusion Equations from Terminal Measurement2405.10708v1 · Bangti Jin, Xiliang Lu, Qimeng Quan et al.2024 · 2 citationsarXiv
Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time2403.11599v1 · Siyu Cen, Bangti Jin, Yavar Kian et al.2024 · 0 citationsarXiv
On the approximation of bi-Lipschitz maps by invertible neural networks.38442488 · Jin, Bangti, Zhou, Zehui, Zou, Jun2024 · 6 citationsNeural networks : the official journal of the International Neural Network Society. 2024;174:106214
Early Stopping of Untrained Convolutional Neural Networks2402.04610v2 · Tim Jahn, Bangti Jin2024 · 13 citationsarXiv
Optimizing Coarse Propagators in Parareal Algorithms2311.15320v2 · Bangti Jin, Qingle Lin, Zhi Zhou2023 · 4 citationsarXiv
Career total: 280 works. 154 are in this corpus.Showing the 50 most recent.
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