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A Topology Layer for Machine Learning

29 May 2019

Rickard Brüel-Gabrielsson

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Papers citing "A Topology Layer for Machine Learning"

50 / 69 papers shown

Title
Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences Harvey Dam Tripti Agarwal Ganesh Gopalakrishnan 104 0 0 05 Apr 2025
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation Juan Miguel Valverde Maja Østergaard Adrian Rodriguez-Palomo Peter Alling Strange Vibe Nina Kølln Wittig Henrik Birkedal Anders Bjorholm Dahl 52 0 0 07 Mar 2025
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data Tamal K. Dey Shreyas N. Samaga 134 1 0 22 Feb 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Tianqi Shen Shaohua Liu Jiaqi Feng Ziye Ma Ning An 166 1 0 21 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 521 0 0 26 Nov 2024
KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation Zhihao Zhao Shahrooz Faghihroohi Yinzheng Zhao Junjie Yang Shipeng Zhong Kai-Qi Huang Nassir Navab Boyang Li M. A. Nasseri 65 0 0 28 Oct 2024
TopoDiffusionNet: A Topology-aware Diffusion Model Saumya Gupta Dimitris Samaras Chong Chen DiffM 146 4 0 22 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 460 1 0 21 Sep 2024
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation Mehmet Bahadir Erden S. Unver I. A. Gurses R. Turkay C. Gunduz-Demir 68 0 0 15 Aug 2024
SIMAP: A simplicial-map layer for neural networks Rocio Gonzalez-Diaz Miguel A. Gutiérrez-Naranjo Eduardo Paluzo-Hidalgo FAtt 21 0 0 22 Mar 2024
Geometry-Informed Neural Networks Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter GAN AI4CE 80 4 0 21 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 99 35 0 14 Feb 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis Dexu Kong Anping Zhang Yang Li 75 1 0 06 Jan 2024
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds Prashant Kumar Kshitij Madhav Bhat Vedang Bhupesh Shenvi Nadkarni P. K. Kalra 90 2 0 29 Nov 2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf Gabriele Cesa Arash Behboodi 53 1 0 16 Nov 2023
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models You Li Jinhui Yin Yuming Lin 63 0 0 19 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Rieck 97 7 0 11 Oct 2023
The Key to Deobfuscation is Pattern of Life, not Overcoming Encryption Taylor Henderson Eric Osterweil Pavan Kumar Dinesh Robert Simon 24 0 0 04 Oct 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 51 5 0 15 Sep 2023
Decorrelating neurons using persistence Rubén Ballester Carles Casacuberta Sergio Escalera 61 1 0 09 Aug 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 75 1 0 06 Jul 2023
Metric Space Magnitude and Generalisation in Neural Networks R. Andreeva K. Limbeck Bastian Rieck Rik Sarkar OOD 68 7 0 09 May 2023
GRIL: A $2$ -parameter Persistence Based Vectorization for Machine Learning Cheng Xin Soham Mukherjee Shreyas N. Samaga T. Dey 105 15 0 11 Apr 2023
Importance attribution in neural networks by means of persistence landscapes of time series Aina Ferrà Carles Casacuberta O. Pujol AI4TS 65 4 0 06 Feb 2023
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 70 0 0 02 Oct 2022
Convolutional Persistence Transforms Yitzchak Elchanan Solomon Paul Bendich 36 1 0 03 Aug 2022
Rethinking Persistent Homology for Visual Recognition Ekaterina Khramtsova Guido Zuccon Xi Wang Mahsa Baktashmotlagh 28 5 0 09 Jul 2022
On the effectiveness of persistent homology Renata Turkevs Guido Montúfar N. Otter 110 31 0 21 Jun 2022
On the Convergence of Optimizing Persistent-Homology-Based Losses Yikai Zhang Jiacheng Yao Yusu Wang Chao Chen 124 1 0 06 Jun 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization Nima Dehmamy C. Both J. Long Rose Yu 49 1 0 26 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 70 4 0 02 May 2022
Topology-Preserving Dimensionality Reduction via Interleaving Optimization Bradley J. Nelson Yuan Luo 47 5 0 31 Jan 2022
Leveraging The Topological Consistencies of Learning in Deep Neural Networks Stuart Synakowski Fabian Benitez-Quiroz Aleix M. Martinez 21 0 0 30 Nov 2021
Nonparametric Topological Layers in Neural Networks Dongfang Zhao 120 0 0 27 Nov 2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks Tolga Birdal Aaron Lou Leonidas Guibas Umut cSimcsekli 73 65 0 25 Nov 2021
Topological Regularization for Dense Prediction Deqing Fu Bradley J. Nelson MDE 38 0 0 22 Nov 2021
Topologically penalized regression on manifolds Olympio Hacquard Krishnakumar Balasubramanian Gilles Blanchard Clément Levrard W. Polonik 85 4 0 26 Oct 2021
Activation Landscapes as a Topological Summary of Neural Network Performance Matthew Wheeler Jose J. Bouza Peter Bubenik 73 19 0 19 Oct 2021
Topologically Regularized Data Embeddings R. Vandaele Bo Kang Jefrey Lijffijt T. D. Bie Yvan Saeys 35 9 0 18 Oct 2021
Persistent Homology with Improved Locality Information for more Effective Delineation Doruk Öner A. Garin Mateusz Koziñski K. Hess Pascal Fua 70 9 0 12 Oct 2021
Artificial Text Detection via Examining the Topology of Attention Maps Laida Kushnareva D. Cherniavskii Vladislav Mikhailov Ekaterina Artemova S. Barannikov A. Bernstein Irina Piontkovskaya D. Piontkovski Evgeny Burnaev 102 51 0 10 Sep 2021
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis Jacob Leygonie Mathieu Carrière Théo Lacombe S. Oudot 41 9 0 01 Sep 2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR Nicholas Byrne J. Clough I. Valverde Giovanni Montana A. King 82 26 0 27 Jul 2021
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations Yair Schiff Vijil Chenthamarakshan Samuel C. Hoffman Karthikeyan N. Ramamurthy Payel Das MedIm 60 10 0 08 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 133 0 14 May 2021
Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures Yueqi Cao Athanasios Vlontzos Luca Schmidtke Bernhard Kainz Anthea Monod 51 3 0 04 Apr 2021
A Multi-parameter Persistence Framework for Mathematical Morphology Yu-Min Chung S. Day Chuan-Shen Hu 17 13 0 24 Mar 2021
Topological Deep Learning: Classification Neural Networks Mustafa Hajij Kyle Istvan 53 5 0 16 Feb 2021
Classification based on Topological Data Analysis R. Kindelan J. Frías Mauricio Cerda N. Hitschfeld-Kahler 21 7 0 07 Feb 2021
Domain Adaptation by Topology Regularization Deborah Weeks Samuel Rivera OOD 13 1 0 28 Jan 2021