Imagen de Portada

Simulation-based Methods for Optimal Sampling Design in Systems Biology

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ha, Tuan Minh, Nguyen, Binh Thanh, Ho, Lam Si Tung
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
por: Dinh, Vu C., et al.
Publicado: (2024)

On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
por: Nguyen, Quang Minh, et al.
Publicado: (2022)

Control, Optimal Transport and Neural Differential Equations in Supervised Learning
por: Phung, Minh-Nhat, et al.
Publicado: (2025)

On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians
por: Nguyen, Ngoc-Hai, et al.
Publicado: (2024)

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization
por: Nguyen, Tuan, et al.
Publicado: (2025)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
por: Ho, Binh H., et al.
Publicado: (2025)

Defect Prediction with Content-based Features
por: Pham, Hung Viet, et al.
Publicado: (2024)

Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series
por: Nguyen, Thanh Son, et al.
Publicado: (2025)

Zero-shot Quantum Neural Architecture Search
por: Dao, Tung, et al.
Publicado: (2026)

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
por: Nguyen, Khai, et al.
Publicado: (2025)

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
por: Nguyen, Phuc Minh, et al.
Publicado: (2025)

A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
por: Tran, Khoa, et al.
Publicado: (2023)

Minimax-Optimal Two-Sample Test with Sliced Wasserstein
por: Tran, Binh Thuan, et al.
Publicado: (2025)

Leveraging Large Language Models for Information Verification -- an Engineering Approach
por: Hung, Nguyen Nang, et al.
Publicado: (2025)

RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts
por: Truong, Tuan, et al.
Publicado: (2025)

Bellman Optimal Stepsize Straightening of Flow-Matching Models
por: Nguyen, Bao, et al.
Publicado: (2023)

Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
por: Doan, Khanh, et al.
Publicado: (2023)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
por: Nguyen, Bao, et al.
Publicado: (2024)

RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
por: Bui, Tuan-Dung, et al.
Publicado: (2024)

Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function
por: Pham, Tuan Minh, et al.
Publicado: (2026)

Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
por: Le, Tung Quoc, et al.
Publicado: (2026)

Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
por: Le, Tung Quoc, et al.
Publicado: (2026)

Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
por: Nguyen, Thanh Son, et al.
Publicado: (2025)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
por: Nguyen, Minh-Anh, et al.
Publicado: (2025)

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
por: Le, Minh, et al.
Publicado: (2024)

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
por: Dang, Tien, et al.
Publicado: (2025)

Equivariant Polynomial Functional Networks
por: Vo, Thieu N., et al.
Publicado: (2024)

Equivariant Neural Functional Networks for Transformers
por: Tran, Viet-Hoang, et al.
Publicado: (2024)

FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
por: Nguyen-Cong, Dat, et al.
Publicado: (2026)

Penalty Learning for Optimal Partitioning using Multilayer Perceptron
por: Nguyen, Tung L, et al.
Publicado: (2024)

VPI-Mlogs: A web-based machine learning solution for applications in petrophysics
por: Nguyen, Anh Tuan
Publicado: (2024)

Beyond Forgetting: Machine Unlearning Elicits Controllable Side Behaviors and Capabilities
por: Dang, Tien, et al.
Publicado: (2026)

Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
por: Nguyen, Tung L, et al.
Publicado: (2025)

A Statistical Theory of Gated Attention through the Lens of Hierarchical Mixture of Experts
por: Nguyen, Viet, et al.
Publicado: (2026)

Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learning
por: Li, Zhenghao, et al.
Publicado: (2025)

GROOT: Effective Design of Biological Sequences with Limited Experimental Data
por: Tran, Thanh V. T., et al.
Publicado: (2024)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
por: Nguyen-Tang, Thanh, et al.
Publicado: (2024)

How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
por: Nguyen, Quan, et al.
Publicado: (2025)

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
por: Hoang-Minh, Thanh
Publicado: (2025)

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
por: Tran, Quyen, et al.
Publicado: (2024)