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1904.09378
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PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
20 April 2019
Mathieu Carrière
Frédéric Chazal
Yuichi Ike
Théo Lacombe
Martin Royer
Yuhei Umeda
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Papers citing
"PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures"
50 / 101 papers shown
Statistical learning on measures: an application to persistence diagrams
Olympio Hacquard
Gilles Blanchard
Clément Levrard
279
3
0
15 Mar 2023
On the Expressivity of Persistent Homology in Graph Learning
LOG IN (LOG IN), 2023
Bastian Rieck
Bastian Rieck
330
20
0
20 Feb 2023
Topological Deep Learning: A Review of an Emerging Paradigm
Artificial Intelligence Review (AIR), 2023
Ali Zia
Abdelwahed Khamis
James A. Nichols
Zeeshan Hayder
V. Rolland
L. Petersson
155
49
0
08 Feb 2023
Importance attribution in neural networks by means of persistence landscapes of time series
Aina Ferrà
Carles Casacuberta
O. Pujol
AI4TS
196
5
0
06 Feb 2023
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
bioRxiv (bioRxiv), 2022
Andac Demir
Baris Coskunuzer
I. Segovia-Dominguez
Yuzhou Chen
Yulia R. Gel
B. Kiziltan
205
20
0
07 Nov 2022
Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut
Xiaoshuang Yin
B. V. Veen
CLL
88
0
0
06 Oct 2022
The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification
S. Park
Y. Choi
Dosang Joe
U. J. Choi
Youngho Woo
83
3
0
29 Aug 2022
Rethinking Persistent Homology for Visual Recognition
Ekaterina Khramtsova
Guido Zuccon
Xi Wang
Mahsa Baktashmotlagh
164
9
0
09 Jul 2022
The Topological BERT: Transforming Attention into Topology for Natural Language Processing
Ilan Perez
Raphael Reinauer
170
21
0
30 Jun 2022
On the effectiveness of persistent homology
Neural Information Processing Systems (NeurIPS), 2022
Renata Turkevs
Guido Montúfar
N. Otter
390
41
0
21 Jun 2022
Approximating Persistent Homology for Large Datasets
Yueqi Cao
Anthea Monod
205
12
0
19 Apr 2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
Thibault de Surrel
Felix Hensel
Mathieu Carrière
Théo Lacombe
Yuichi Ike
Hiroaki Kurihara
Marc Glisse
Frédéric Chazal
3DPC
221
25
0
03 Feb 2022
Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut
Bryan M. Krause
M. Banks
K. Nourski
B. V. Veen
156
5
0
02 Feb 2022
Topology-Preserving Dimensionality Reduction via Interleaving Optimization
Bradley J. Nelson
Yuan Luo
154
6
0
31 Jan 2022
Neural Approximation of Graph Topological Features
Neural Information Processing Systems (NeurIPS), 2022
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
244
18
0
28 Jan 2022
Persformer: A Transformer Architecture for Topological Machine Learning
Raphael Reinauer
Matteo Caorsi
Nicolas Berkouk
206
18
0
30 Dec 2021
Fast Topological Clustering with Wasserstein Distance
Tananun Songdechakraiwut
Bryan M. Krause
M. Banks
K. Nourski
B. V. Veen
346
8
0
30 Nov 2021
Leveraging The Topological Consistencies of Learning in Deep Neural Networks
Stuart Synakowski
Fabian Benitez-Quiroz
Aleix M. Martinez
117
0
0
30 Nov 2021
Topological Regularization for Dense Prediction
International Conference on Machine Learning and Applications (ICMLA), 2021
Deqing Fu
Bradley J. Nelson
MDE
146
0
0
22 Nov 2021
Topological Relational Learning on Graphs
Neural Information Processing Systems (NeurIPS), 2021
Yuzhou Chen
Baris Coskunuzer
Yulia R. Gel
191
47
0
29 Oct 2021
Activation Landscapes as a Topological Summary of Neural Network Performance
Matthew Wheeler
Jose J. Bouza
Peter Bubenik
172
22
0
19 Oct 2021
Trigger Hunting with a Topological Prior for Trojan Detection
Xiaoling Hu
Xiaoyu Lin
Michael Cogswell
Yi Yao
Susmit Jha
Chao Chen
AAML
152
50
0
15 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
244
27
0
06 Oct 2021
Heat diffusion distance processes: a statistically founded method to analyze graph data sets
Journal of Applied and Computational Topology (JACT), 2021
E. Lasalle
36
1
0
27 Sep 2021
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis
Mathematical programming (Math. Program.), 2021
Jacob Leygonie
Mathieu Carrière
Théo Lacombe
S. Oudot
165
11
0
01 Sep 2021
Topological Attention for Time Series Forecasting
Neural Information Processing Systems (NeurIPS), 2021
Sebastian Zeng
Florian Graf
Christoph Hofer
Roland Kwitt
AI4TS
161
35
0
19 Jul 2021
Topological Detection of Trojaned Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Songzhu Zheng
Yikai Zhang
H. Wagner
Mayank Goswami
Chao Chen
AAML
197
47
0
11 Jun 2021
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization
Lin Yan
Talha Bin Masood
Raghavendra Sridharamurthy
Farhan Rasheed
Vijay Natarajan
Ingrid Hotz
Bei Wang
227
84
0
01 Jun 2021
Estimation and Quantization of Expected Persistence Diagrams
International Conference on Machine Learning (ICML), 2021
Vincent Divol
Théo Lacombe
182
11
0
11 May 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
International Conference on Machine Learning (ICML), 2021
Yuzhou Chen
I. Segovia-Dominguez
Yulia R. Gel
AI4TS
204
183
0
10 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
171
26
0
07 May 2021
Smart Vectorizations for Single and Multiparameter Persistence
Baris Coskunuzer
Cüneyt Gürcan Akçora
I. Segovia-Dominguez
Zhiwei Zhen
Murat Kantarcioglu
Yulia R. Gel
122
2
0
10 Apr 2021
Learning Hyperbolic Representations of Topological Features
International Conference on Learning Representations (ICLR), 2021
Panagiotis Kyriakis
Iordanis Fostiropoulos
P. Bogdan
106
12
0
16 Mar 2021
Link Prediction with Persistent Homology: An Interactive View
International Conference on Machine Learning (ICML), 2021
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
169
55
0
20 Feb 2021
Topological Graph Neural Networks
International Conference on Learning Representations (ICLR), 2021
Max Horn
E. Brouwer
Michael Moor
Yves Moreau
Bastian Rieck
Karsten Borgwardt
AI4CE
290
122
0
15 Feb 2021
Optimisation of Spectral Wavelets for Persistence-based Graph Classification
Frontiers in Applied Mathematics and Statistics (Front. Appl. Math. Stat.), 2021
Ka Man Yim
Jacob Leygonie
225
5
0
10 Jan 2021
Topological Regularization via Persistence-Sensitive Optimization
Arnur Nigmetov
Aditi S. Krishnapriyan
Nicole F. Sanderson
Dmitriy Morozov
AAML
114
7
0
10 Nov 2020
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
Nicolas Swenson
Aditi S. Krishnapriyan
A. Buluç
Dmitriy Morozov
Katherine Yelick
153
19
0
30 Oct 2020
A Fast and Robust Method for Global Topological Functional Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Elchanan Solomon
Alexander Wagner
Paul Bendich
205
23
0
17 Sep 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Neural Information Processing Systems (NeurIPS), 2020
Bastian Rieck
T. Yates
Christian Bock
Karsten Borgwardt
Guy Wolf
Nicholas Turk-Browne
Smita Krishnaswamy
202
64
0
14 Jun 2020
Fuzzy c-Means Clustering for Persistence Diagrams
Thomas Davies
Jack Aspinall
Bryan Wilder
Long Tran-Thanh
376
4
0
04 Jun 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Frontiers in Big Data (Front. Big Data), 2020
Cristian Bodnar
Cătălina Cangea
Pietro Lio
296
44
0
10 Feb 2020
PLLay: Efficient Topological Layer based on Persistence Landscapes
Kwangho Kim
Jisu Kim
Manzil Zaheer
Joon Sik Kim
Frédéric Chazal
Larry A. Wasserman
264
13
0
07 Feb 2020
Optimal quantization of the mean measure and applications to statistical learning
Frédéric Chazal
Clément Levrard
Martin Royer
273
5
0
04 Feb 2020
Understanding the Power of Persistence Pairing via Permutation Test
Chen Cai
Yusu Wang
114
6
0
16 Jan 2020
Combining Geometric and Topological Information for Boundary Estimation
Hengrui Luo
Justin Strait
202
2
0
10 Oct 2019
Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting
Machine-mediated learning (ML), 2019
Zhetong Dong
Hongwei Lin
Chi Zhou
136
8
0
17 Sep 2019
Topological Autoencoders
International Conference on Machine Learning (ICML), 2019
Michael Moor
Max Horn
Bastian Rieck
Karsten Borgwardt
441
177
0
03 Jun 2019
Persistence Curves: A canonical framework for summarizing persistence diagrams
Yu-Min Chung
A. Lawson
210
86
0
16 Apr 2019
Approximating Continuous Functions on Persistence Diagrams Using Template Functions
Jose A. Perea
E. Munch
Firas A. Khasawneh
197
30
0
19 Feb 2019
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