Cover Image

A unified framework for hard and soft clustering with regularized optimal transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Diebold, Jean-Frédéric, Papadakis, Nicolas, Dessein, Arnaud, Deledalle, Charles-Alban
Format:	Preprint
Published:	2017
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inverse problem regularization with hierarchical variational autoencoders
by: Prost, Jean, et al.
Published: (2023)

A unifying Bayesian framework for adversarial robustness
by: Arce, Pablo G., et al.
Published: (2025)

A unified weighting framework for evaluating nearest neighbour classification
by: Lenz, Oliver Urs, et al.
Published: (2023)

KD$^{2}$M: A unifying framework for feature knowledge distillation
by: Montesuma, Eduardo Fernandes
Published: (2025)

Convergence rate of Tsallis entropic regularized optimal transport
by: Suguro, Takeshi, et al.
Published: (2023)

A unified physics-informed generative operator framework for general inverse problems
by: Bao, Gang, et al.
Published: (2025)

A unifying framework for generalised Bayesian online learning in non-stationary environments
by: Duran-Martin, Gerardo, et al.
Published: (2024)

A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking
by: Chowdhury, Prithwijit, et al.
Published: (2026)

A unified Bayesian framework for interval hypothesis testing in clinical trials
by: Chakraborty, Abhisek, et al.
Published: (2024)

ADCNet: a unified framework for predicting the activity of antibody-drug conjugates
by: Chen, Liye, et al.
Published: (2024)

Towards a unified framework for guided diffusion models
by: Jiao, Yuchen, et al.
Published: (2025)

Sensor optimization for urban wind estimation with cluster-based probabilistic framework
by: Liang, Yutong, et al.
Published: (2025)

On the Existence of Optimal Transport Gradient for Learning Generative Models
by: Houdard, Antoine, et al.
Published: (2021)

A unified framework for establishing the universal approximation of transformer-type architectures
by: Cheng, Jingpu, et al.
Published: (2025)

Rethinking industrial artificial intelligence: a unified foundation framework
by: Lee, Jay, et al.
Published: (2025)

An unified approach to link prediction in collaboration networks
by: Sosa, Juan, et al.
Published: (2024)

Diverse super-resolution with pretrained deep hiererarchical VAEs
by: Prost, Jean, et al.
Published: (2022)

Plug-and-Play image restoration with Stochastic deNOising REgularization
by: Renaud, Marien, et al.
Published: (2024)

Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
by: Keriven, Nicolas
Published: (2025)

Entropy regularization in probabilistic clustering
by: Franzolini, Beatrice, et al.
Published: (2023)

LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
by: Spagnoletti, Alessio, et al.
Published: (2025)

Robustness and accuracy of mean opinion scores with hard and soft outlier detection
by: Saupe, Dietmar, et al.
Published: (2025)

Practical estimation of the optimal classification error with soft labels and calibration
by: Ushio, Ryota, et al.
Published: (2025)

BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
by: Wang, Chi-Hua, et al.
Published: (2024)

A unified framework for learning with nonlinear model classes from arbitrary linear samples
by: Adcock, Ben, et al.
Published: (2023)

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
by: Ohl, Louis, et al.
Published: (2023)

A unified framework for geometry-independent operator learning in cardiac electrophysiology simulations
by: Zhou, Bei, et al.
Published: (2025)

BalLOT: Balanced $k$-means clustering with optimal transport
by: Luo, Wenyan, et al.
Published: (2025)

From the Gradient-Step Denoiser to the Proximal Denoiser and their associated convergent Plug-and-Play algorithms
by: Herfeld, Vincent, et al.
Published: (2025)

A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions
by: Houdard, Antoine, et al.
Published: (2020)

A unifying primary framework for quantum graph neural networks from quantum graph states
by: Daskin, Ammar
Published: (2024)

Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
by: Zhang, Zhenyi, et al.
Published: (2024)

Patch-based adaptive temporal filter and residual evaluation
by: Zhao, Weiying, et al.
Published: (2024)

Kernel KMeans clustering splits for end-to-end unsupervised decision trees
by: Ohl, Louis, et al.
Published: (2024)

Vector valued optimal transport: from dynamic to static formulations
by: Craig, Katy, et al.
Published: (2025)

One to beat them all: "RYU" -- a unifying framework for the construction of safe balls
by: Tran, Thu-Le, et al.
Published: (2023)

Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)

MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data
by: Sun, Xingzhi, et al.
Published: (2026)

Equivariant Denoisers for Image Restoration
by: Renaud, Marien, et al.
Published: (2024)

A new machine learning framework for occupational accidents forecasting with safety inspections integration
by: Yapi, Aho, et al.
Published: (2025)