Manifold Topology Divergence: a Framework for Comparing Data Manifolds

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Manifold Topology Divergence: a Framework for Comparing Data Manifolds

8 June 2021

Grigorii Sotnikov

Ekaterina Trimbach

Alexander Korotin

Alexander N. Filippov

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Papers citing "Manifold Topology Divergence: a Framework for Comparing Data Manifolds"

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Title
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Qingmao Yao Zhichao Lei Tianyuan Chen Ziyue Yuan Xuefan Chen Jianxiang Liu Faguo Wu Xiao Zhang OffRL 18 1 0 10 Jun 2025
Position: All Current Generative Fidelity and Diversity Metrics are Flawed Ossi Räisä B. V. Breugel M. Schaar EGVM 33 0 0 28 May 2025
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark William Corrias Fabio De Gaspari Dorjan Hitaj L. Mancini 62 0 0 23 Apr 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 137 0 0 24 Jan 2025
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 183 75 0 10 May 2023
Manifold Characteristics That Predict Downstream Task Performance Ruan van der Merwe Gregory Newman E. Barnard AAML 44 1 0 16 May 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer Mikhail Yurochkin Kristjan Greenewald Justin Solomon 97 6 0 03 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 113 30 0 28 Jan 2022
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 126 72 0 24 Nov 2021