Topological Autoencoders

3 June 2019

Michael Moor

Max Horn

Bastian Alexander Rieck

Karsten M. Borgwardt

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Papers citing "Topological Autoencoders"

23 / 23 papers shown

Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Ren Wang Pengcheng Zhou 29 0 0 07 May 2025
Topology-Aware CLIP Few-Shot Learning Dazhi Huang VLM 26 0 0 03 May 2025
Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences Harvey Dam Tripti Agarwal Ganesh Gopalakrishnan 38 0 0 05 Apr 2025
Structure-preserving contrastive learning for spatial time series Yiru Jiao S. Cranenburgh Simeon C. Calvert H. Lint AI4TS 84 0 0 10 Feb 2025
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Yousef Yeganeh Rui Xiao Goktug Guvercin Nassir Navab Azade Farshad MedIm 40 0 0 31 Dec 2024
Revisiting Point Cloud Completion: Are We Ready For The Real-World? Stuti Pathak Prashant Kumar Nicholus Mboga Gunther Steenackers R. Penne Rudi Penne 84 0 0 26 Nov 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition Jun Dan Y. Liu Jiankang Deng Haoyu Xie Siyuan Li Baigui Sun Shan Luo CVBM 21 4 0 14 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 22 0 0 09 Oct 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 20 0 0 17 Sep 2024
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos G. Marchetti Danica Kragic Martina Scolamiero 48 0 0 17 Sep 2024
Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang Jin Song Dong 16 0 0 24 May 2024
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds Prashant Kumar Kshitij Madhav Bhat Vedang Bhupesh Shenvi Nadkarni P. K. Kalra 12 2 0 29 Nov 2023
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 38 7 0 19 Oct 2023
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 11 1 0 20 Jul 2023
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images Seher Ozcelik S. Unver I. A. Gurses R. Turkay Cigdem Demir 11 1 0 06 Jul 2023
Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams) Mathieu Pont Julien Tierny 16 3 0 05 Jul 2023
Homology-constrained vector quantization entropy regularizer Ivan O. Volkov 14 2 0 25 Nov 2022
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective Adaku Uchendu Thai Le Dongwon Lee DeLMO 19 40 0 19 Oct 2022
Uniform Manifold Approximation with Two-phase Optimization Hyeon Jeon Hyung-Kwon Ko S. Lee Jaemin Jo Jinwook Seo 19 12 0 01 May 2022
Nonparametric Topological Layers in Neural Networks Dongfang Zhao 11 0 0 27 Nov 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 11 124 0 14 May 2021
Topological Graph Neural Networks Max Horn E. Brouwer Michael Moor Yves Moreau Bastian Alexander Rieck Karsten M. Borgwardt AI4CE 20 87 0 15 Feb 2021
Extendable and invertible manifold learning with geometry regularized autoencoders Andres F. Duque Sacha Morin Guy Wolf Kevin R. Moon 12 23 0 14 Jul 2020