The Shape of Data: Intrinsic Distance for Data Distributions

The Shape of Data: Intrinsic Distance for Data Distributions

27 May 2019

Anton Tsitsulin

Marina Munkhoeva

Panagiotis Karras

Emmanuel Müller

Papers citing "The Shape of Data: Intrinsic Distance for Data Distributions"

14 / 14 papers shown

Title
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 78 5 0 13 Mar 2025
Identifying Sub-networks in Neural Networks via Functionally Similar Representations Tian Gao Amit Dhurandhar Karthikeyan N. Ramamurthy Dennis L. Wei 48 0 0 21 Oct 2024
Latent Space Translation via Inverse Relative Projection Valentino Maiorca Luca Moschella Marco Fumero Francesco Locatello Emanuele Rodolà 47 1 0 21 Jun 2024
Neural Lineage Runpeng Yu Xinchao Wang 38 4 0 17 Jun 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules Xiangyu Chen Jing Liu Ye Wang Pu Wang Matthew Brand Guanghui Wang T. Koike-Akino 51 7 0 18 Mar 2024
Do Vision and Language Encoders Represent the World Similarly? Mayug Maniparambil Raiymbek Akshulakov Y. A. D. Djilali Sanath Narayan M. Seddik K. Mangalam Noel E. O'Connor VLM 29 11 0 10 Jan 2024
Neural FIM for learning Fisher Information Metrics from point cloud data O. Fasina Guilluame Huguet Alexander Tong Yanlei Zhang Guy Wolf Maximilian Nickel Ian M. Adelstein Smita Krishnaswamy 35 3 0 01 Jun 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 58 66 0 10 May 2023
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer Mikhail Yurochkin Kristjan Greenewald Justin Solomon 41 6 0 03 Feb 2022
Representation Topology Divergence: A Method for Comparing Neural Network Representations S. Barannikov I. Trofimov Nikita Balabin Evgeny Burnaev 3DPC 40 45 0 31 Dec 2021
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 27 71 0 24 Nov 2021
A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context Rucha Deshpande M. Anastasio F. Brooks MedIm 36 2 0 24 Nov 2021
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 16 54 0 07 Jun 2020
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 80 391 0 20 Oct 2016