5 papers
TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
Duong Nguyen, Mohammed Jawhar, Nicolas Chesneau
Tabular foundation models (TFMs), such as TabPFN-2.6, TabICLv2, ConTextTab, Mitra, LimiX, and TabDPT, achieve strong zero-shot performance through in-context learning, but their in…
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen +17
Recent token merging techniques for Vision Transformers (ViTs) provide substantial speedups by reducing the number of tokens processed by self-attention, often without retraining.…
MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Hai Dang Nguyen, Nguyen Dang Huy Pham, The Minh Duc Nguyen +3
Spatial Transcriptomics (ST) enables the measurement of gene expression while preserving spatial information, offering critical insights into tissue architecture and disease pathol…
Domain Generalization via Pareto Optimal Gradient Matching
Khoi Do, Duong Nguyen, Nam-Khanh Le +3
In this study, we address the gradient-based domain generalization problem, where predictors aim for consistent gradient directions across different domains. Existing methods have…
Federated Domain Generalization with Data-free On-server Matching Gradient
Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park +2
Domain Generalization (DG) aims to learn from multiple known source domains a model that can generalize well to unknown target domains. One of the key approaches in DG is training…