:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bouras, Stavros, Kontopoulos, Ioannis, Pugliese, Chiara, Lettich, Francesco, Carlini, Emanuele, Kavalionak, Hanna, Renso, Chiara, Tserpes, Konstantinos
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.15246
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessing Predictive Models for Fairness Based on Movement Patterns
by: Lettich, Francesco, et al.
Published: (2026)

Urban Region Embeddings from Service-Specific Mobile Traffic Data
by: Loddi, Giulio, et al.
Published: (2024)

Enabling Adversarial Robustness in AI Models through Kubeflow MLOps
by: Bouras, Stavros, et al.
Published: (2026)

Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
by: Bompai, Stelio, et al.
Published: (2026)

Human Mobility Datasets Enriched With Contextual and Social Dimensions
by: Pugliese, Chiara, et al.
Published: (2025)

A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
by: Makris, Antonios, et al.
Published: (2026)

Trajectory-Aware Adaptive Inference in Object Detection Models
by: Papanikolaou, Grigorios, et al.
Published: (2026)

ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
by: Carlini, Emanuele, et al.
Published: (2024)

Spatially-Enhanced Retrieval-Augmented Generation for Walkability and Urban Discovery
by: Amendola, Maddalena, et al.
Published: (2025)

Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
by: Makris, Antonios, et al.
Published: (2024)

Decentralized and Self-adaptive Core Maintenance on Temporal Graphs
by: Rucci, Davide, et al.
Published: (2025)

FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
by: Kritharakis, Emmanouil, et al.
Published: (2025)

Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
by: Kritharakis, Emmanouil, et al.
Published: (2025)

Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
by: Graziosi, Riccardo, et al.
Published: (2024)

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
by: Lettich, Francesco, et al.
Published: (2024)

SoK: Can Trajectory Generation Combine Privacy and Utility?
by: Buchholz, Erik, et al.
Published: (2024)

MADRL-based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks
by: Spampinato, Leonardo, et al.
Published: (2024)

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
by: Buchholz, Erik, et al.
Published: (2025)

Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum
by: Korontanis, Ioannis, et al.
Published: (2024)

Preference-based learning for news headline recommendation
by: Bouras, Alexandre, et al.
Published: (2025)

Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
by: Capogrosso, Luigi, et al.
Published: (2024)

A Lightweight Generative Model for Interpretable Subject-level Prediction
by: Mauri, Chiara, et al.
Published: (2023)

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
by: Wang, Huandong, et al.
Published: (2024)

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation
by: Bertazzini, Giulia, et al.
Published: (2025)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)

Adaptive Exploration for Data-Efficient General Value Function Evaluations
by: Jain, Arushi, et al.
Published: (2024)

Generative Modeling of Molecular Dynamics Trajectories
by: Jing, Bowen, et al.
Published: (2024)

Generative VS non-Generative Models in Engineering Shape Optimization
by: Usama, Muhammad, et al.
Published: (2024)

Improving Trajectory Stitching with Flow Models
by: O'Mahoney, Reece, et al.
Published: (2025)

Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)

Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
by: Marincione, Davide, et al.
Published: (2025)

Compositional Generalization in Autoregressive Models via Logit Composition
by: Kumar, Aakash, et al.
Published: (2026)

Generating Origin-Destination Matrices in Neural Spatial Interaction Models
by: Zachos, Ioannis, et al.
Published: (2024)

Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning
by: Chandrinos, Nikolaos, et al.
Published: (2024)

Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
by: Hafner, Flavio, et al.
Published: (2024)

GTG: Generalizable Trajectory Generation Model for Urban Mobility
by: Wang, Jingyuan, et al.
Published: (2025)

Evaluating the Robustness of the "Ensemble Everything Everywhere" Defense
by: Zhang, Jie, et al.
Published: (2024)

A Standardized Framework For Evaluating Gene Expression Generative Models
by: Rubbi, Andrea, et al.
Published: (2026)

LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
by: Gasmi, Houssem, et al.
Published: (2024)