Saved in:
| Main Author: | Bui, Anh Tuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.16627 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dimension Reduction with Prior Information for Knowledge Discovery
by: Bui, Anh Tuan
Published: (2021)
by: Bui, Anh Tuan
Published: (2021)
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
by: Nguyen, Anh T, et al.
Published: (2023)
by: Nguyen, Anh T, et al.
Published: (2023)
Don't Read Everything: A Curvature-Conditioned Query for Linear Attention
by: Le, Dong, et al.
Published: (2026)
by: Le, Dong, et al.
Published: (2026)
PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
by: Robinson, Thomas S., et al.
Published: (2026)
by: Robinson, Thomas S., et al.
Published: (2026)
CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
by: Abdelwahed, Hager Radi, et al.
Published: (2025)
by: Abdelwahed, Hager Radi, et al.
Published: (2025)
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
by: Ahang, Maryam, et al.
Published: (2024)
by: Ahang, Maryam, et al.
Published: (2024)
Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
by: Liu, Zesheng, et al.
Published: (2026)
by: Liu, Zesheng, et al.
Published: (2026)
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
by: Le, Tung Quoc, et al.
Published: (2026)
by: Le, Tung Quoc, et al.
Published: (2026)
Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
by: Le, Tung Quoc, et al.
Published: (2026)
by: Le, Tung Quoc, et al.
Published: (2026)
VPI-Mlogs: A web-based machine learning solution for applications in petrophysics
by: Nguyen, Anh Tuan
Published: (2024)
by: Nguyen, Anh Tuan
Published: (2024)
Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
by: Nguyen, Quoc Minh, et al.
Published: (2026)
by: Nguyen, Quoc Minh, et al.
Published: (2026)
Provably data-driven projection method for quadratic programming
by: Nguyen, Anh Tuan, et al.
Published: (2025)
by: Nguyen, Anh Tuan, et al.
Published: (2025)
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
by: Doan, Khanh, et al.
Published: (2023)
by: Doan, Khanh, et al.
Published: (2023)
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)
by: Nguyen, Bao, et al.
Published: (2024)
Conditional Data Synthesis Augmentation
by: Tian, Xinyu, et al.
Published: (2025)
by: Tian, Xinyu, et al.
Published: (2025)
Continuous Multidimensional Scaling
by: Trosset, Michael W., et al.
Published: (2024)
by: Trosset, Michael W., et al.
Published: (2024)
Data-Driven Conditional Flexibility Index
by: Wedemeyer, Moritz, et al.
Published: (2026)
by: Wedemeyer, Moritz, et al.
Published: (2026)
Learning to Scale Logits for Temperature-Conditional GFlowNets
by: Kim, Minsu, et al.
Published: (2023)
by: Kim, Minsu, et al.
Published: (2023)
Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in $L^p$-sense
by: Neufeld, Ariel, et al.
Published: (2024)
by: Neufeld, Ariel, et al.
Published: (2024)
Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling
by: Tran, Dao, et al.
Published: (2026)
by: Tran, Dao, et al.
Published: (2026)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Optimizing Multidimensional Scaling in Gini Metric Spaces
by: Mussard, Cassandra, et al.
Published: (2026)
by: Mussard, Cassandra, et al.
Published: (2026)
Spectral Condition for $μ$P under Width-Depth Scaling
by: Zheng, Chenyu, et al.
Published: (2026)
by: Zheng, Chenyu, et al.
Published: (2026)
Kernel Representation and Similarity Measure for Incomplete Data
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Learning Staged Trees from Incomplete Data
by: Carter, Jack Storror, et al.
Published: (2024)
by: Carter, Jack Storror, et al.
Published: (2024)
On the Conditioning Consistency Gap in Conditional Neural Processes
by: Young, Robin
Published: (2026)
by: Young, Robin
Published: (2026)
Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport
by: Generale, Adam P., et al.
Published: (2024)
by: Generale, Adam P., et al.
Published: (2024)
AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control
by: Bui, Quang-Hung, et al.
Published: (2025)
by: Bui, Quang-Hung, et al.
Published: (2025)
Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications
by: Bui, Nghia, et al.
Published: (2026)
by: Bui, Nghia, et al.
Published: (2026)
Assessing the Impact of Speaker Identity in Speech Spoofing Detection
by: Dao, Anh-Tuan, et al.
Published: (2026)
by: Dao, Anh-Tuan, et al.
Published: (2026)
Topology-Preserving Scaling in Data Augmentation
by: Le, Vu-Anh, et al.
Published: (2024)
by: Le, Vu-Anh, et al.
Published: (2024)
Robustifying Conditional Portfolio Decisions via Optimal Transport
by: Nguyen, Viet Anh, et al.
Published: (2021)
by: Nguyen, Viet Anh, et al.
Published: (2021)
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)
by: Anh, Vu Duc, et al.
Published: (2024)
Conditional Diffusion Models Based Conditional Independence Testing
by: Yang, Yanfeng, et al.
Published: (2024)
by: Yang, Yanfeng, et al.
Published: (2024)
Estimating Conditional Covariance between labels for Multilabel Data
by: Park, Laurence A. F., et al.
Published: (2025)
by: Park, Laurence A. F., et al.
Published: (2025)
Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles
by: Shelton, Jacquelyn, et al.
Published: (2026)
by: Shelton, Jacquelyn, et al.
Published: (2026)
Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
by: Ashhad, Mohd, et al.
Published: (2024)
by: Ashhad, Mohd, et al.
Published: (2024)
Learning Coupled Subspaces for Multi-Condition Spike Data
by: Nadew, Yididiya Y., et al.
Published: (2024)
by: Nadew, Yididiya Y., et al.
Published: (2024)
Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis
by: Yang, Tuan-Anh, et al.
Published: (2026)
by: Yang, Tuan-Anh, et al.
Published: (2026)
Similar Items
-
Dimension Reduction with Prior Information for Knowledge Discovery
by: Bui, Anh Tuan
Published: (2021) -
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
by: Nguyen, Anh T, et al.
Published: (2023) -
Don't Read Everything: A Curvature-Conditioned Query for Linear Attention
by: Le, Dong, et al.
Published: (2026) -
PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
by: Robinson, Thomas S., et al.
Published: (2026) -
CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
by: Abdelwahed, Hager Radi, et al.
Published: (2025)