MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Tran, Khang, Cao, Hieu, Pham, Thinh, Diep, Nghiem, Cao, Tri, Nguyen, Binh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LGCA: Enhancing Semantic Representation via Progressive Expansion
by: Cao, Thanh Hieu, et al.
Published: (2025)
by: Cao, Thanh Hieu, et al.
Published: (2025)
Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
by: Tran, Quoc-Khang, et al.
Published: (2026)
by: Tran, Quoc-Khang, et al.
Published: (2026)
Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification
by: Nguyen, Nghia Thinh, et al.
Published: (2025)
by: Nguyen, Nghia Thinh, et al.
Published: (2025)
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)
by: Nguyen, Bao, et al.
Published: (2024)
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)
by: Pham, Nga, et al.
Published: (2024)
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation
by: Tran, Hieu, et al.
Published: (2025)
by: Tran, Hieu, et al.
Published: (2025)
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
by: Mishra, Mayank, et al.
Published: (2026)
by: Mishra, Mayank, et al.
Published: (2026)
Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering
by: Hoang, Duy, et al.
Published: (2025)
by: Hoang, Duy, et al.
Published: (2025)
Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
by: Vu, Hoang-Dieu, et al.
Published: (2025)
by: Vu, Hoang-Dieu, et al.
Published: (2025)
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
by: Tran, Khoa, et al.
Published: (2023)
by: Tran, Khoa, et al.
Published: (2023)
Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
by: Nguyen, Binh, et al.
Published: (2026)
by: Nguyen, Binh, et al.
Published: (2026)
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
by: Nguyen, Thang, et al.
Published: (2024)
by: Nguyen, Thang, et al.
Published: (2024)
FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems
by: Pham, Quang-Tu, et al.
Published: (2026)
by: Pham, Quang-Tu, et al.
Published: (2026)
SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
by: Le, Trung Hoang, et al.
Published: (2025)
by: Le, Trung Hoang, et al.
Published: (2025)
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
by: Tran, TrungKhang, et al.
Published: (2026)
by: Tran, TrungKhang, et al.
Published: (2026)
Point Cloud Compression with Bits-back Coding
by: Hieu, Nguyen Quang, et al.
Published: (2024)
by: Hieu, Nguyen Quang, et al.
Published: (2024)
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
by: Tran, Huyen Ngoc, et al.
Published: (2026)
by: Tran, Huyen Ngoc, et al.
Published: (2026)
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
by: Dinh, Phai Vu, et al.
Published: (2024)
by: Dinh, Phai Vu, et al.
Published: (2024)
Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)
by: Do, Khoi, et al.
Published: (2023)
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
by: Hwang, Sukjun, et al.
Published: (2024)
by: Hwang, Sukjun, et al.
Published: (2024)
$π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
by: Do, Quyet V., et al.
Published: (2026)
by: Do, Quyet V., et al.
Published: (2026)
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
by: Pham, Thinh, et al.
Published: (2025)
by: Pham, Thinh, et al.
Published: (2025)
Transformers Learn Robust In-Context Regression under Distributional Uncertainty
by: Cao, Hoang T. H., et al.
Published: (2026)
by: Cao, Hoang T. H., et al.
Published: (2026)
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)
by: Bao, Hieu Tran, et al.
Published: (2025)
Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)
by: Tran, Viet-Hoang, et al.
Published: (2024)
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
Angular Steering: Behavior Control via Rotation in Activation Space
by: Vu, Hieu M., et al.
Published: (2025)
by: Vu, Hieu M., et al.
Published: (2025)
Few-shot Continual Relation Extraction via Open Information Extraction
by: Nguyen, Thiem, et al.
Published: (2025)
by: Nguyen, Thiem, et al.
Published: (2025)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)
by: Rozada, Sergio, et al.
Published: (2022)
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
by: Nguyen, Phu X., et al.
Published: (2025)
by: Nguyen, Phu X., et al.
Published: (2025)
Policy Learning for Off-Dynamics RL with Deficient Support
by: Van, Linh Le Pham, et al.
Published: (2024)
by: Van, Linh Le Pham, et al.
Published: (2024)
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
by: Witter, R. Teal, et al.
Published: (2025)
by: Witter, R. Teal, et al.
Published: (2025)
Domain Generalization via Pareto Optimal Gradient Matching
by: Do, Khoi, et al.
Published: (2025)
by: Do, Khoi, et al.
Published: (2025)
Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)
by: Nguyen, Thanh Linh, et al.
Published: (2025)
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
by: Shamba, Abdul-Kazeem, et al.
Published: (2025)
by: Shamba, Abdul-Kazeem, et al.
Published: (2025)
Similar Items
-
LGCA: Enhancing Semantic Representation via Progressive Expansion
by: Cao, Thanh Hieu, et al.
Published: (2025) -
Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
by: Tran, Quoc-Khang, et al.
Published: (2026) -
Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification
by: Nguyen, Nghia Thinh, et al.
Published: (2025) -
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024) -
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)