Identifiers
Papers
Documents in the 44B Library with European Organization for Nuclear Research on the authorship, newest first.
2026-05-20 · 148 authors here
The next phase of OpenAI’s Education for Countries
2026-05-14 · 33 authors here
Overlap-aware segmentation for topological reconstruction of obscured objects
2026-05-13 · 7 authors here
AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines
2026-04-21 · 1 authors here
AccLID: Accent-aware Language Identification for Robust Multilingual Speech Recognition
2026-04-01 · 5 authors here
A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations
2026-03-13 · 10 authors here
It’s not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron Collider
2026-03-13 · 10 authors here
It’s not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron Collider
2026-01-01 · 4 authors here
MELF-XFD: Trustworthy and Interpretable Multi-Expert Fusion for Safety-Critical Fault Diagnosis in Autonomous Underwater Vehicles
2026-01-01 · 7 authors here
Reward-Augmented Reinforcement Learning for Continuous Control in Precision Autonomous Parking via Policy Optimization Methods
2025-11-17 · 5 authors here
da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs
2025-10-21 · 7 authors here
Human-in-the-loop reinforcement learning for data quality monitoring in particle physics experiments
2025-10-21 · 11 authors here
Enhancing Evidence Synthesis Efficiency: Leveraging Large Language Models and Agentic Workflows for Optimized Literature Screening
2025-08-27 · 6 authors here
Guided graph compression for quantum graph neural networks
2025-08-25 · 21 authors here
wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation
2025-07-31 · 9 authors here
Mixture-of-experts graph transformers for interpretable particle collision detection
2025-01-16 · 5 authors here
A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT
2025-01-01 · 2 authors here
Thread-safe N-tuple Writing in Gaudi with TTree and Migration to RNTuple
2025-01-01 · 1 authors here
Prometheus-Powered Insight: Monitoring Koji’s performance
2025-01-01 · 10 authors here
Archive Metadata for Efficient Data Collocation on Tape
2025-01-01 · 3 authors here
New RooFit PyROOT interfaces for connections with Machine Learning
2025-01-01 · 19 authors here
A Secure and Trustworthy Federated Learning Platform as a Service Model for Stroke Management in European Clinical Centers
2024-10-21 · 12 authors here
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
2024-09-14 · 12 authors here
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization
2024-08-12 · 2 authors here
Open Science, Open Data and Open Access infrastructure: interview with Tullio Basaglia
2024-05-30 · 5 authors here
DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems
Funding
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