:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ascarate, Alejandro, Lebrat, Leo, Cruz, Rodrigo Santa, Fookes, Clinton, Salvado, Olivier
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.26171
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space
by: Ascarate, Alejandro, et al.
Published: (2026)

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
by: Ascarate, Alejandro, et al.
Published: (2025)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
by: Ma, Rongkai, et al.
Published: (2024)

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction
by: Chierchia, Remi, et al.
Published: (2026)

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos
by: Chierchia, Remi, et al.
Published: (2024)

NeRF Director: Revisiting View Selection in Neural Volume Rendering
by: Xiao, Wenhui, et al.
Published: (2024)

NC-Reg : Neural Cortical Maps for Rigid Registration
by: Vati, Ines, et al.
Published: (2026)

In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting
by: Xiao, Wenhui, et al.
Published: (2026)

Multi-View Consistent Wound Segmentation With Neural Fields
by: Chierchia, Remi, et al.
Published: (2026)

Neural Radiance Fields for the Real World: A Survey
by: Xiao, Wenhui, et al.
Published: (2025)

Wound3DAssist: A Practical Framework for 3D Wound Assessment
by: Chierchia, Remi, et al.
Published: (2025)

Bayesian Neural Networks: An Introduction and Survey
by: Goan, Ethan, et al.
Published: (2020)

Non-Invasive 3D Wound Measurement with RGB-D Imaging
by: Harkämper, Lena, et al.
Published: (2026)

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
by: Goan, Ethan, et al.
Published: (2022)

Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
by: Banerjee, Chayan, et al.
Published: (2025)

Bi Directional Feedback Fusion for Activity Aware Forecasting of Indoor CO2 and PM2.5
by: Gammulle, Harshala, et al.
Published: (2026)

Piecewise Deterministic Markov Processes for Bayesian Neural Networks
by: Goan, Ethan, et al.
Published: (2023)

Physics-Informed Operator Learning for Hemodynamic Modeling
by: Chappell, Ryan, et al.
Published: (2025)

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
by: Banerjee, Chayan, et al.
Published: (2023)

Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction
by: Gnanavel, Ganeshaaraj, et al.
Published: (2026)

Transforming volcanic monitoring: A dataset and benchmark for onboard volcano activity detection
by: Priyasad, Darshana, et al.
Published: (2025)

PINNs for Medical Image Analysis: A Survey
by: Banerjee, Chayan, et al.
Published: (2024)

Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023)

State Frequency Estimation for Anomaly Detection
by: Cao, Clinton, et al.
Published: (2024)

Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
by: Huang, Zi, et al.
Published: (2025)

Face Deepfakes -- A Comprehensive Review
by: Fernando, Tharindu, et al.
Published: (2025)

ENCODE: Encoding NetFlows for Network Anomaly Detection
by: Cao, Clinton, et al.
Published: (2022)

LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection
by: Zhang, Haoting, et al.
Published: (2026)

Part-based Quantitative Analysis for Heatmaps
by: Tursun, Osman, et al.
Published: (2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis
by: Lebrat, Léo, et al.
Published: (2023)

A Survey on Graph-Based Deep Learning for Computational Histopathology
by: Ahmedt-Aristizabal, David, et al.
Published: (2021)

Neural Memory Networks for Seizure Type Classification
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)

Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs
by: Rachmil, Oren, et al.
Published: (2025)

LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
by: Geng, Chuqin, et al.
Published: (2025)

Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)

Continuous Human Action Recognition for Human-Machine Interaction: A Review
by: Gammulle, Harshala, et al.
Published: (2022)

Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
by: Liu, Yunhui, et al.
Published: (2025)

RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection
by: Yehya, Jad, et al.
Published: (2025)

Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
by: Innes, Craig, et al.
Published: (2024)

NEUROLOGIC: From Neural Representations to Interpretable Logic Rules
by: Geng, Chuqin, et al.
Published: (2025)