Van-Tam Nguyen

Efficient Resource-Constrained Training of Transformers via Subspace Optimization

Study of Training Dynamics for Memory-Constrained Fine-Tuning

A Multi-Institutional Multimodal EEG Benchmark for Foundation Model Generalization and Early Neurological Diagnosis

ClusCAM: Clustered Visual Explanations for Vision Models in Image Classification

INSTANT: Compressing Gradients and Activations for Resource-Efficient Training

Structured Transformer Circuits Pruning

OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization

STELAR: Dual-space training EEG Foundation Models for Transferable Representations

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning

NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer