Saved in:
| Main Authors: | Ma, Guanqun, Lenz, David, Guo, Hanqi, Peterka, Tom, Wang, Bei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.07637 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Critical Point Extraction from Multivariate Functional Approximation
by: Ma, Guanqun, et al.
Published: (2024)
by: Ma, Guanqun, et al.
Published: (2024)
Metrics for Parametric Families of Networks
by: Gómez, Mario, et al.
Published: (2025)
by: Gómez, Mario, et al.
Published: (2025)
Measure Theoretic Reeb Graphs and Reeb Spaces
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
Deep Generative Models: Complexity, Dimensionality, and Approximation
by: Wang, Kevin, et al.
Published: (2025)
by: Wang, Kevin, et al.
Published: (2025)
Approximating Metric Magnitude of Point Sets
by: Andreeva, Rayna, et al.
Published: (2024)
by: Andreeva, Rayna, et al.
Published: (2024)
Estimate of the Neural Network Dimension using Algebraic Topology and Lie Theory
by: Melodia, Luciano, et al.
Published: (2020)
by: Melodia, Luciano, et al.
Published: (2020)
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields
by: Gorski, Nathaniel, et al.
Published: (2025)
by: Gorski, Nathaniel, et al.
Published: (2025)
Topological Spatial Graph Coarsening
by: Calissano, Anna, et al.
Published: (2025)
by: Calissano, Anna, et al.
Published: (2025)
TopoAlign: Topology-Aware Visual Representation Alignment
by: Yan, Xinyuan, et al.
Published: (2026)
by: Yan, Xinyuan, et al.
Published: (2026)
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
by: Xiong, Tianyu, et al.
Published: (2024)
by: Xiong, Tianyu, et al.
Published: (2024)
Chernoff Bounds for Tensor Expanders on Riemannian Manifolds Using Graph Laplacian Approximation
by: Chang, Shih-Yu
Published: (2024)
by: Chang, Shih-Yu
Published: (2024)
Approximation Depth of Convex Polytopes
by: Bakaev, Egor, et al.
Published: (2025)
by: Bakaev, Egor, et al.
Published: (2025)
Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)
by: Agerberg, Jens, et al.
Published: (2025)
Persistent Homology as Stopping-Criterion for Voronoi Interpolation
by: Melodia, Luciano, et al.
Published: (2019)
by: Melodia, Luciano, et al.
Published: (2019)
Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents
by: Yan, Xinyuan, et al.
Published: (2025)
by: Yan, Xinyuan, et al.
Published: (2025)
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
by: McCutcheon, Luc, et al.
Published: (2025)
by: McCutcheon, Luc, et al.
Published: (2025)
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
by: Tulchinskii, Eduard, et al.
Published: (2025)
by: Tulchinskii, Eduard, et al.
Published: (2025)
Neural Approximation of Generalized Voronoi Diagrams
by: Rigas, Panagiotis, et al.
Published: (2026)
by: Rigas, Panagiotis, et al.
Published: (2026)
Revealing Decurve Flows for Generalized Graph Propagation
by: Lin, Chen, et al.
Published: (2024)
by: Lin, Chen, et al.
Published: (2024)
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
by: Diepeveen, Willem, et al.
Published: (2024)
by: Diepeveen, Willem, et al.
Published: (2024)
The Geometry of the Set of Equivalent Linear Neural Networks
by: Shewchuk, Jonathan Richard, et al.
Published: (2024)
by: Shewchuk, Jonathan Richard, et al.
Published: (2024)
Topological Residual Asymmetry for Bivariate Causal Direction
by: Bouchattaoui, Mouad El
Published: (2026)
by: Bouchattaoui, Mouad El
Published: (2026)
Online Epsilon Net and Piercing Set for Geometric Concepts
by: Bhore, Sujoy, et al.
Published: (2024)
by: Bhore, Sujoy, et al.
Published: (2024)
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
by: Trofimov, Ilya, et al.
Published: (2024)
by: Trofimov, Ilya, et al.
Published: (2024)
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
by: Kur, Gil, et al.
Published: (2022)
by: Kur, Gil, et al.
Published: (2022)
Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
by: Zorek, Sophia, et al.
Published: (2026)
by: Zorek, Sophia, et al.
Published: (2026)
Rapid and Precise Topological Comparison with Merge Tree Neural Networks
by: Qin, Yu, et al.
Published: (2024)
by: Qin, Yu, et al.
Published: (2024)
The Z-Gromov-Wasserstein Distance
by: Bauer, Martin, et al.
Published: (2024)
by: Bauer, Martin, et al.
Published: (2024)
Conic Formulations of Transport Metrics for Unbalanced Measure Networks and Hypernetworks
by: Oliver, Mary Chriselda Antony, et al.
Published: (2025)
by: Oliver, Mary Chriselda Antony, et al.
Published: (2025)
Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
by: Spalding-Jamieson, Jack, et al.
Published: (2025)
by: Spalding-Jamieson, Jack, et al.
Published: (2025)
Topological Data Analysis for Unsupervised Anomaly Detection and Customer Segmentation on Banking Data
by: Barberi, Leonardo Aldo Alejandro, et al.
Published: (2025)
by: Barberi, Leonardo Aldo Alejandro, et al.
Published: (2025)
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs
by: Naama, Saloua, et al.
Published: (2024)
by: Naama, Saloua, et al.
Published: (2024)
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation
by: Sun, Jianxin, et al.
Published: (2024)
by: Sun, Jianxin, et al.
Published: (2024)
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
by: Graf, Florian, et al.
Published: (2025)
by: Graf, Florian, et al.
Published: (2025)
The Observable Wasserstein Distance
by: Santos, Edivaldo Lopes dos, et al.
Published: (2026)
by: Santos, Edivaldo Lopes dos, et al.
Published: (2026)
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
by: Clémot, Mattéo, et al.
Published: (2025)
by: Clémot, Mattéo, et al.
Published: (2025)
Complex normalizing flows can almost be information Kähler-Ricci flows
by: Gracyk, Andrew
Published: (2026)
by: Gracyk, Andrew
Published: (2026)
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings
by: Liu, Jiaxu, et al.
Published: (2023)
by: Liu, Jiaxu, et al.
Published: (2023)
Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces
by: Mirjanić, Viktor, et al.
Published: (2024)
by: Mirjanić, Viktor, et al.
Published: (2024)
Cover Learning for Large-Scale Topology Representation
by: Scoccola, Luis, et al.
Published: (2025)
by: Scoccola, Luis, et al.
Published: (2025)
Similar Items
-
Critical Point Extraction from Multivariate Functional Approximation
by: Ma, Guanqun, et al.
Published: (2024) -
Metrics for Parametric Families of Networks
by: Gómez, Mario, et al.
Published: (2025) -
Measure Theoretic Reeb Graphs and Reeb Spaces
by: Wang, Qingsong, et al.
Published: (2024) -
Deep Generative Models: Complexity, Dimensionality, and Approximation
by: Wang, Kevin, et al.
Published: (2025) -
Approximating Metric Magnitude of Point Sets
by: Andreeva, Rayna, et al.
Published: (2024)