Topology
49 papers
Papers per year
1
1
3
3
1
1
2
1
1
4
4
5
12
3
7
'15
'20
'25
Papers
FILTR: Extracting Topological Features from Pretrained 3D Models
CVPR 2026
Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation
CVPR 2026
Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals
JMLR 2026
Provably Correct k-Means Clustering of Persistence Diagrams
UAI 2026
Tight list replicability bounds via a novel sphere covering theorem
COLT 2026
TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology
AAAI 2026
Topological Dynamics via Learned Hybrid Systems
L4DC 2026
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
ICCV 2025
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
AAAI 2025
Topological State Space Inference for Dynamical Systems
L4DC 2025
Diffeomorphic interpolation for efficient persistence-based topological optimization
NeurIPS 2024
Dynamic Tangled Derivative Logic of Metric Spaces
AAAI 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks
NeurIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NeurIPS 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Neural Persistence Dynamics
NeurIPS 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
Persistence Homology Distillation for Semi-supervised Continual Learning
NeurIPS 2024
Stable and Consistent Density-Based Clustering via Multiparameter Persistence
JMLR 2024
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis
EMNLP 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
AAAI 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds
NeurIPS 2024
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
NeurIPS 2023
Convolutional Persistence as a Remedy to Neural Model Analysis
AISTATS 2023
Limits of Dense Simplicial Complexes
JMLR 2023