Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
Fuente:
arXiv
Saved in:
| Main Authors: | Do, Nguyen, Ngo, Bach, Kashuv, Youval, Pham, Canh V., Tong, Hanghang, Thai, My T. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Augmented Mixture-of-Experts for QoS Prediction
by: Cai, Kecheng, et al.
Published: (2026)
by: Cai, Kecheng, et al.
Published: (2026)
QoS-QoE Translation with Large Language Model
by: Yu, Yingjie, et al.
Published: (2026)
by: Yu, Yingjie, et al.
Published: (2026)
Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit Compression
by: Cao, Tue M., et al.
Published: (2026)
by: Cao, Tue M., et al.
Published: (2026)
SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
by: Kumar, Suraj, et al.
Published: (2025)
by: Kumar, Suraj, et al.
Published: (2025)
Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
by: Ngo, Hoang M., et al.
Published: (2026)
by: Ngo, Hoang M., et al.
Published: (2026)
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
by: Do, Nguyen, et al.
Published: (2025)
by: Do, Nguyen, et al.
Published: (2025)
Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)
by: Nguyen, Truc, et al.
Published: (2022)
AvAtar: Learning to Align via Active Optimal Transport
by: Yu, Qi, et al.
Published: (2026)
by: Yu, Qi, et al.
Published: (2026)
FIDDLE: Reinforcement Learning for Quantum Fidelity Enhancement
by: Ngo, Hoang M., et al.
Published: (2025)
by: Ngo, Hoang M., et al.
Published: (2025)
Large Language Model Aided QoS Prediction for Service Recommendation
by: Liu, Huiying, et al.
Published: (2024)
by: Liu, Huiying, et al.
Published: (2024)
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
by: Imani, HamidReza, et al.
Published: (2025)
by: Imani, HamidReza, et al.
Published: (2025)
Analysis of Privacy Leakage in Federated Large Language Models
by: Vu, Minh N., et al.
Published: (2024)
by: Vu, Minh N., et al.
Published: (2024)
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
by: Do, Nguyen, et al.
Published: (2024)
by: Do, Nguyen, et al.
Published: (2024)
Statistical QoS Provision in Business-Centric Networks
by: Wu, Chang, et al.
Published: (2024)
by: Wu, Chang, et al.
Published: (2024)
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
by: Zhuang, Yuchen, et al.
Published: (2025)
by: Zhuang, Yuchen, et al.
Published: (2025)
Collaborative Intelligence for UAV-Satellite Network Slicing: Towards a Joint QoS-Energy-Fairness MADRL Optimization
by: Nguyen, Thanh-Dao, et al.
Published: (2025)
by: Nguyen, Thanh-Dao, et al.
Published: (2025)
CHESTNUT: A QoS Dataset for Mobile Edge Environments
by: Zou, Guobing, et al.
Published: (2024)
by: Zou, Guobing, et al.
Published: (2024)
QoS-Nets: Adaptive Approximate Neural Network Inference
by: Trommer, Elias, et al.
Published: (2024)
by: Trommer, Elias, et al.
Published: (2024)
CHARME: A chain-based reinforcement learning approach for the minor embedding problem
by: Ngo, Hoang M., et al.
Published: (2024)
by: Ngo, Hoang M., et al.
Published: (2024)
Learn to Optimize Resource Allocation under QoS Constraint of AR
by: Chen, Shiyong, et al.
Published: (2025)
by: Chen, Shiyong, et al.
Published: (2025)
Mixture of Experts Meets Prompt-Based Continual Learning
by: Le, Minh, et al.
Published: (2024)
by: Le, Minh, et al.
Published: (2024)
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025)
by: Thai, Tuan, et al.
Published: (2025)
Hephaestus Reloaded
by: Antomarini, Brunella, et al.
Published: (2019)
by: Antomarini, Brunella, et al.
Published: (2019)
QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Grid
by: Ngo, Hoang M., et al.
Published: (2026)
by: Ngo, Hoang M., et al.
Published: (2026)
A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction
by: Liu, Wenjing, et al.
Published: (2026)
by: Liu, Wenjing, et al.
Published: (2026)
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models
by: Nguyen, Nam V., et al.
Published: (2024)
by: Nguyen, Nam V., et al.
Published: (2024)
QoS-Aware Graph Contrastive Learning for Web Service Recommendation
by: Choi, Jeongwhan, et al.
Published: (2024)
by: Choi, Jeongwhan, et al.
Published: (2024)
QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)
by: Du, Guanchen, et al.
Published: (2025)
QoS prediction in radio vehicular environments via prior user information
by: Ain, Noor Ul, et al.
Published: (2024)
by: Ain, Noor Ul, et al.
Published: (2024)
Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction
by: Wang, Ziliang, et al.
Published: (2023)
by: Wang, Ziliang, et al.
Published: (2023)
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
by: Kumar, Suraj, et al.
Published: (2024)
by: Kumar, Suraj, et al.
Published: (2024)
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications
by: Song, Tailai, et al.
Published: (2024)
by: Song, Tailai, et al.
Published: (2024)
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
by: Zhang, Enming, et al.
Published: (2025)
by: Zhang, Enming, et al.
Published: (2025)
Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
by: Wang, Ziliang, et al.
Published: (2023)
by: Wang, Ziliang, et al.
Published: (2023)
Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
by: Xia, YongHui, et al.
Published: (2025)
by: Xia, YongHui, et al.
Published: (2025)
RAHN: A Reputation Based Hourglass Network for Web Service QoS Prediction
by: Chen, Xia, et al.
Published: (2025)
by: Chen, Xia, et al.
Published: (2025)
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
by: Zhong, Shuai, et al.
Published: (2024)
by: Zhong, Shuai, et al.
Published: (2024)
Web Service QoS Prediction via Extended Canonical Polyadic-based Tensor Network
by: Wang, Qu, et al.
Published: (2024)
by: Wang, Qu, et al.
Published: (2024)
Fuzzy Information Entropy and Region Biased Matrix Factorization for Web Service QoS Prediction
by: Tang, Guoxing, et al.
Published: (2025)
by: Tang, Guoxing, et al.
Published: (2025)
GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
by: Hu, Shengxiang, et al.
Published: (2024)
by: Hu, Shengxiang, et al.
Published: (2024)
Similar Items
-
Self-Augmented Mixture-of-Experts for QoS Prediction
by: Cai, Kecheng, et al.
Published: (2026) -
QoS-QoE Translation with Large Language Model
by: Yu, Yingjie, et al.
Published: (2026) -
Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit Compression
by: Cao, Tue M., et al.
Published: (2026) -
SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
by: Kumar, Suraj, et al.
Published: (2025) -
Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
by: Ngo, Hoang M., et al.
Published: (2026)