Representation Learning via Manifold Flattening and Reconstruction

2 May 2023

Papers citing "Representation Learning via Manifold Flattening and Reconstruction"

6 / 6 papers shown

Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Ren Wang Pengcheng Zhou 39 0 0 07 May 2025
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 84 0 0 02 Oct 2024
Emergence of a High-Dimensional Abstraction Phase in Language Transformers Emily Cheng Diego Doimo Corentin Kervadec Iuri Macocco Jade Yu A. Laio Marco Baroni 112 11 0 24 May 2024
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 247 0 22 Sep 2022
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence Y. Ma Doris Y. Tsao H. Shum 67 75 0 11 Jul 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021