Imagen de Portada

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bethune, Louis, Novello, Paul, Boissin, Thibaut, Coiffier, Guillaume, Serrurier, Mathieu, Vincenot, Quentin, Troya-Galvis, Andres
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

1-Lipschitz Neural Distance Fields
por: Coiffier, Guillaume, et al.
Publicado: (2024)

1‐Lipschitz Neural Distance Fields
por: Guillaume Coiffier, et al.
Publicado: (2024)

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
por: Serrurier, Mathieu, et al.
Publicado: (2022)

DP-SGD Without Clipping: The Lipschitz Neural Network Way
por: Bethune, Louis, et al.
Publicado: (2023)

Orthogonium : A Unified, Efficient Library of Orthogonal and 1-Lipschitz Building Blocks
por: Boissin, Thibaut, et al.
Publicado: (2026)

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
por: Massena, Thomas, et al.
Publicado: (2025)

Turbo-Muon: Accelerating Orthogonality-Based Optimization with Pre-Conditioning
por: Boissin, Thibaut, et al.
Publicado: (2025)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
por: Boissin, Thibaut, et al.
Publicado: (2025)

Fast and Flexible Robustness Certificates for Semantic Segmentation
por: Massena, Thomas, et al.
Publicado: (2025)

From SGD to Muon: Adaptive Optimization via Schatten-p Norms
por: Massena, Thomas, et al.
Publicado: (2026)

Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies
por: Vandendriessche, Toon, et al.
Publicado: (2025)

Robust Classification with Noisy Labels Based on Posterior Maximization
por: Novello, Nicola, et al.
Publicado: (2025)

Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
por: Novello, Tiago, et al.
Publicado: (2024)

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
por: Fel, Thomas, et al.
Publicado: (2023)

Generating Heterogeneous Multi-dimensional Data : A Comparative Study
por: Corbeau, Michael, et al.
Publicado: (2025)

Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
por: Hamelbeck, Paul, et al.
Publicado: (2025)

Accelerating Signed Distance Functions
por: Pierre Hubert‐Brierre, et al.
Publicado: (2025)

Sign Changing Critical Points for Locally Lipschitz Functionals
por: Xu, Xian, et al.
Publicado: (2024)

Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
por: Vigouroux, David, et al.
Publicado: (2025)

ViscoReg: Neural Signed Distance Functions via Viscosity Solutions
por: Krishnan, Meenakshi, et al.
Publicado: (2025)

Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation
por: Zouinkhi, Marwan, et al.
Publicado: (2024)

Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
por: Larue, Guillaume, et al.
Publicado: (2026)

Semantic Communications Services within Generalist Operated Networks
por: Lampin, Quentin, et al.
Publicado: (2025)

Non-Robust Features are Not Always Useful in One-Class Classification
por: Lau, Matthew, et al.
Publicado: (2024)

Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
por: Vesseron, Nina, et al.
Publicado: (2025)

Improving Signed Propagation for Graph Neural Networks in Multi-Class Environments
por: Choi, Yoonhyuk, et al.
Publicado: (2023)

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets
por: Nikolentzos, Giannis, et al.
Publicado: (2025)

Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
por: Wang, Zhiyang, et al.
Publicado: (2024)

Back to the Baseline: Examining Baseline Effects on Explainability Metrics
por: Picard, Agustin Martin, et al.
Publicado: (2025)

Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
por: Dai, Zhirui, et al.
Publicado: (2025)

Implicit Articulated Robot Morphology Modeling with Configuration Space Neural Signed Distance Functions
por: Chen, Yiting, et al.
Publicado: (2023)

Análisis bibliométrico de la teoría de gestión estratégica basada en recursos y competencias
por: Jean-Pierre Boissin
Publicado: (2003)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
por: Abuduweili, Abulikemu, et al.
Publicado: (2024)

One-Class Risk Estimation for One-Class Hyperspectral Image Classification
por: Zhao, Hengwei, et al.
Publicado: (2022)

Shallow Signed Distance Functions for Kinematic Collision Bodies
por: Akar, Osman, et al.
Publicado: (2024)

Medial Axis Aware Learning of Signed Distance Functions
por: Weidemaier, Samuel, et al.
Publicado: (2026)

Reachability-based Trajectory Design via Exact Formulation of Implicit Neural Signed Distance Functions
por: Michaux, Jonathan, et al.
Publicado: (2024)

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
por: Li, Shengtao, et al.
Publicado: (2024)

The Properties of Cesáro General Fourier Sums of Functions with Derivatives of Lipschitz Class Functions
por: Tutberidze, G., et al.
Publicado: (2025)

1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
por: Juston, Marius F. R., et al.
Publicado: (2025)