Diffusion Nets

25 June 2015

Papers citing "Diffusion Nets"

25 / 25 papers shown

Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 45 2 0 28 Oct 2024
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 36 1 0 18 Sep 2023
BASiS: Batch Aligned Spectral Embedding Space O. Streicher I. Cohen Guy Gilboa 27 2 0 30 Nov 2022
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling Xiaolong He Qizhi He Jiun-Shyan Chen AI4CE PINN SyDa 49 56 0 03 Sep 2022
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders Stefan C. Schonsheck Scott Mahan T. Klock A. Cloninger Rongjie Lai DRL 35 5 0 22 Aug 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G. Huguet D. S. Magruder Alexander Tong O. Fasina Manik Kuchroo Guy Wolf Smita Krishnaswamy OT DRL 41 60 0 29 Jun 2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks Ziyu Chen Yingzhou Li Xiuyuan Cheng 26 4 0 14 Jun 2022
Learning shared neural manifolds from multi-subject FMRI data Je-chun Huang E. L. Busch Tom Wallenstein Michał Gerasimiuk Andrew Benz Guillaume Lajoie Guy Wolf Nicholas B. Turk-Browne Smita Krishnaswamy 35 17 0 22 Dec 2021
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold T. Furuya Ryutarou Ohbuchi DiffM 41 1 0 14 Dec 2021
Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du Katherine M. Collins J. Tenenbaum Vincent Sitzmann MedIm 29 47 0 11 Nov 2021
Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets Amir Ivry B. Berdugo Israel Cohen 15 26 0 25 Jun 2021
LDLE: Low Distortion Local Eigenmaps Dhruv Kohli A. Cloninger Gal Mishne 11 18 0 26 Jan 2021
Convergence of Graph Laplacian with kNN Self-tuned Kernels Xiuyuan Cheng Hau‐Tieng Wu 16 23 0 03 Nov 2020
Unsupervised Embedding of Hierarchical Structure in Euclidean Space Jinyu Zhao Yi Hao Cyrus Rashtchian DRL 19 2 0 30 Oct 2020
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 31 217 0 27 Sep 2020
Extendable and invertible manifold learning with geometry regularized autoencoders Andres F. Duque Sacha Morin Guy Wolf Kevin R. Moon 22 25 0 14 Jul 2020
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach Suchismita Das Nikhil Pal 11 8 0 08 Apr 2020
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar Ronen Talmon Ron Meir 35 5 0 12 Mar 2020
Classification Logit Two-sample Testing by Neural Networks Xiuyuan Cheng A. Cloninger 27 31 0 25 Sep 2019
Variational Diffusion Autoencoders with Random Walk Sampling Henry Li Ofir Lindenbaum Xiuyuan Cheng A. Cloninger DRL DiffM 6 1 0 29 May 2019
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian Xiuyuan Cheng Gal Mishne 215 14 0 25 Oct 2018
Image Anomalies: a Review and Synthesis of Detection Methods T. Ehret Axel Davy Jean-Michel Morel M. Delbracio 10 48 0 07 Aug 2018
SpectralNet: Spectral Clustering using Deep Neural Networks Uri Shaham Kelly P. Stanton Henry Li B. Nadler Ronen Basri Y. Kluger GNN 18 285 0 04 Jan 2018
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling Gautam Pai Ronen Talmon A. Bronstein Ron Kimmel 32 41 0 16 Nov 2017
Deep nets for local manifold learning C. Chui H. Mhaskar 24 62 0 24 Jul 2016