Topological Uncertainty: Monitoring trained neural networks through
persistence of activation graphs

Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs

7 May 2021

Mathieu Carrière

Frédéric Chazal

Papers citing "Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs"

15 / 15 papers shown

Title
Topology of Out-of-Distribution Examples in Deep Neural Networks Esha Datta Johanna Hennig Eva Domschot Connor Mattes Michael R. Smith 72 0 0 21 Jan 2025
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue David Brunner Alessio Montuoro FedML 28 0 0 20 Sep 2024
Diffeomorphic interpolation for efficient persistence-based topological optimization Mathieu Carrière Marc Theveneau Théo Lacombe 23 1 0 29 May 2024
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning H. M. Dolatabadi S. Erfani Christopher Leckie AAML 32 0 0 17 Feb 2024
Selecting which Dense Retriever to use for Zero-Shot Search Ekaterina Khramtsova Shengyao Zhuang Mahsa Baktashmotlagh Xi Wang Guido Zuccon 35 6 0 18 Sep 2023
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms Sudeepta Mondal G. Sundaramoorthi OODD 13 0 0 09 Sep 2023
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 25 1 0 20 Jul 2023
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks Charles Arnal Felix Hensel Mathieu Carrière Théo Lacombe Hiroaki Kurihara Yuichi Ike Frédéric Chazal 17 2 0 22 May 2023
Experimental Observations of the Topology of Convolutional Neural Network Activations Emilie Purvine Davis Brown Brett Jefferson C. Joslyn Brenda Praggastis Archit Rathore Madelyn Shapiro Bei Wang Youjia Zhou AI4CE 42 12 0 01 Dec 2022
Zeroth-Order Topological Insights into Iterative Magnitude Pruning Aishwarya H. Balwani J. Krzyston 32 2 0 14 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Persformer: A Transformer Architecture for Topological Machine Learning Raphael Reinauer Matteo Caorsi Nicolas Berkouk 32 15 0 30 Dec 2021
Nonparametric Topological Layers in Neural Networks Dongfang Zhao 13 0 0 27 Nov 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 29 40 0 11 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016