Saved in:
| Main Authors: | Belucci, Bruno, Lounici, Karim, Kostic, Vladimir R., Meziani, Katia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.07279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits
by: Meziani, Katia, et al.
Published: (2025)
by: Meziani, Katia, et al.
Published: (2025)
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)
by: Belucci, Bruno, et al.
Published: (2025)
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
by: Germain, Thibaut, et al.
Published: (2025)
by: Germain, Thibaut, et al.
Published: (2025)
Toeplitz Based Spectral Methods for Data-driven Dynamical Systems
by: Kostic, Vladimir R., et al.
Published: (2026)
by: Kostic, Vladimir R., et al.
Published: (2026)
kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
by: Turri, Giacomo, et al.
Published: (2025)
by: Turri, Giacomo, et al.
Published: (2025)
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
by: Frohlich, Alek, et al.
Published: (2025)
by: Frohlich, Alek, et al.
Published: (2025)
Geometric Dictionary Learning of Dynamical Systems with Optimal Transport
by: Germain, Thibaut, et al.
Published: (2026)
by: Germain, Thibaut, et al.
Published: (2026)
Learning invariant representations of time-homogeneous stochastic dynamical systems
by: Kostic, Vladimir R., et al.
Published: (2023)
by: Kostic, Vladimir R., et al.
Published: (2023)
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)
by: Meunier, Dimitri, et al.
Published: (2025)
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
by: Ordoñez-Apraez, Daniel, et al.
Published: (2025)
by: Ordoñez-Apraez, Daniel, et al.
Published: (2025)
MCD: Marginal Contrastive Discrimination for conditional density estimation
by: Meziani, Katia, et al.
Published: (2022)
by: Meziani, Katia, et al.
Published: (2022)
A conversion theorem and minimax optimality for continuum contextual bandits
by: Akhavan, Arya, et al.
Published: (2024)
by: Akhavan, Arya, et al.
Published: (2024)
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
by: Gnassounou, Théo, et al.
Published: (2024)
by: Gnassounou, Théo, et al.
Published: (2024)
Counterfactual Explanations for k-means and Gaussian Clustering
by: Vardakas, Georgios, et al.
Published: (2025)
by: Vardakas, Georgios, et al.
Published: (2025)
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
by: Mirzaei, Erfan, et al.
Published: (2025)
by: Mirzaei, Erfan, et al.
Published: (2025)
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach
by: Devergne, Timothée, et al.
Published: (2024)
by: Devergne, Timothée, et al.
Published: (2024)
A randomized algorithm to solve reduced rank operator regression
by: Turri, Giacomo, et al.
Published: (2023)
by: Turri, Giacomo, et al.
Published: (2023)
Demystifying Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)
by: Meunier, Dimitri, et al.
Published: (2025)
PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution
by: Humphries, Thomas, et al.
Published: (2026)
by: Humphries, Thomas, et al.
Published: (2026)
Cluster-Adaptive Feature Extraction and its Theoretical Foundation with Minkowski Weighted k-Means
by: de Amorim, Renato Cordeiro, et al.
Published: (2026)
by: de Amorim, Renato Cordeiro, et al.
Published: (2026)
DFCA: Decentralized Federated Clustering Algorithm
by: Kirch, Jonas, et al.
Published: (2025)
by: Kirch, Jonas, et al.
Published: (2025)
Chisme: Fully Decentralized Differentiated Deep Learning for IoT Intelligence
by: Kuttivelil, Harikrishna, et al.
Published: (2025)
by: Kuttivelil, Harikrishna, et al.
Published: (2025)
$k$-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences
by: Fryer, Daniel, et al.
Published: (2020)
by: Fryer, Daniel, et al.
Published: (2020)
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
by: Nardi, Mirko, et al.
Published: (2024)
by: Nardi, Mirko, et al.
Published: (2024)
Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means
by: Sharma, Parichit, et al.
Published: (2025)
by: Sharma, Parichit, et al.
Published: (2025)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
De-VertiFL: A Solution for Decentralized Vertical Federated Learning
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
HiRE: High Recall Approximate Top-$k$ Estimation for Efficient LLM Inference
by: L, Yashas Samaga B, et al.
Published: (2024)
by: L, Yashas Samaga B, et al.
Published: (2024)
A Geometric Approach to $k$-means
by: Hong, Jiazhen, et al.
Published: (2022)
by: Hong, Jiazhen, et al.
Published: (2022)
On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)
by: Holder, Christopher, et al.
Published: (2024)
An effective variant of the Hartigan $k$-means algorithm
by: Clément, François, et al.
Published: (2026)
by: Clément, François, et al.
Published: (2026)
Silhouette-Driven Instance-Weighted $k$-means
by: Semoglou, Aggelos, et al.
Published: (2025)
by: Semoglou, Aggelos, et al.
Published: (2025)
Clustering in hyperbolic balls
by: Jaćimović, Vladimir, et al.
Published: (2025)
by: Jaćimović, Vladimir, et al.
Published: (2025)
Accelerating k-Means Clustering with Cover Trees
by: Lang, Andreas, et al.
Published: (2024)
by: Lang, Andreas, et al.
Published: (2024)
k-HyperEdge Medoids for Clustering Ensemble
by: Li, Feijiang, et al.
Published: (2024)
by: Li, Feijiang, et al.
Published: (2024)
DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster
by: Qi, Ji, et al.
Published: (2025)
by: Qi, Ji, et al.
Published: (2025)
HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
by: Xuan, Junyu, et al.
Published: (2025)
by: Xuan, Junyu, et al.
Published: (2025)
Similar Items
-
CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits
by: Meziani, Katia, et al.
Published: (2025) -
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025) -
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
by: Germain, Thibaut, et al.
Published: (2025) -
Toeplitz Based Spectral Methods for Data-driven Dynamical Systems
by: Kostic, Vladimir R., et al.
Published: (2026) -
kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
by: Turri, Giacomo, et al.
Published: (2025)