DADApy: Distance-based Analysis of DAta-manifolds in Python

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DADApy: Distance-based Analysis of DAta-manifolds in Python

4 May 2022

Alessandro Laio

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Papers citing "DADApy: Distance-based Analysis of DAta-manifolds in Python"

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Title
Coupled reaction and diffusion governing interface evolution in solid-state batteries Jingxuan Ding Laura Zichi Matteo Carli Menghang Wang Albert Musaelian Yu Xie Boris Kozinsky 110 0 0 12 Jun 2025
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers Simon Roschmann Quentin Bouniot Vasilii Feofanov I. Redko Zeynep Akata AI4TS 23 0 0 10 Jun 2025
$When fractional quasi p-norms concentrate$ When fractional quasi p-norms concentrate Ivan Y. Tyukin Bogdan Grechuk Evgeny M. Mirkes A. Gorban 19 0 0 26 May 2025
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Sebastian Springer Andre Scaffidi Maximilian Autenrieth Gabriella Contardo Alessandro Laio R. Trotta H. Haario 77 0 0 31 Mar 2025
Text-Speech Language Models with Improved Cross-Modal Transfer by Aligning Abstraction Levels Santiago Cuervo Adel Moumen Yanis Labrak Sameer Khurana Antoine Laurent Mickael Rouvier R. Marxer 136 1 0 08 Mar 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 281 8 0 17 Feb 2025
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM Minkyu Jeon Rishwanth Raghu Miro A. Astore Geoffrey Woollard Ryan Feathers Alkin Kaz Sonya M. Hanson Pilar Cossio Ellen D. Zhong 94 10 0 17 Jan 2025
Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance Romina Wild Vittorio Del Tatto Felix Wodaczek Bingqing Cheng Alessandro Laio 146 0 0 31 Dec 2024
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance Charles Camboulin Diego Doimo Aldo Glielmo DRL 105 0 0 04 Nov 2024
Unsupervised detection of semantic correlations in big data Santiago Acevedo Alex Rodriguez Alessandro Laio 137 3 0 04 Nov 2024
The representation landscape of few-shot learning and fine-tuning in large language models Diego Doimo Alessandro Serra A. Ansuini Alberto Cazzaniga 131 4 0 05 Sep 2024
Density Estimation via Binless Multidimensional Integration Matteo Carli Alex Rodriguez Alessandro Laio Aldo Glielmo 123 1 0 10 Jul 2024
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification A. Di Noia Iuri Macocco Aldo Glielmo Alessandro Laio Antonietta Mira 96 3 0 24 May 2024
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold Anupam Chaudhuri Anj Simmons Mohamed Abdelrazek 62 0 0 08 Mar 2024
The geometry of hidden representations of large transformer models L. Valeriani Diego Doimo F. Cuturello Alessandro Laio A. Ansuini Alberto Cazzaniga MILM 84 60 0 01 Feb 2023
Intrinsic dimension estimation for discrete metrics Iuri Macocco Aldo Glielmo J. Grilli Alessandro Laio 135 10 0 20 Jul 2022
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs Sebastian Springer Aldo Glielmo A. Senchukova T. Kauppi Jarkko Suuronen L. Roininen H. Haario A. Hauptmann 130 2 0 20 Jun 2022
Ranking the information content of distance measures Aldo Glielmo C. Zeni Bing Cheng Gábor Csányi Alessandro Laio 141 38 0 30 Apr 2021
intRinsic: an R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset Francesco Denti 133 6 0 23 Feb 2021