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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.IT2026

Group Testing with Selectable Thresholds

Trung-Khang Tran, Daniel McMorrow, Jonathan Scarlett

The paper studies group testing where each pooled test can be assigned a selectable threshold, and shows how to recover the defective set efficiently, achieving near‑optimal test r…

stat.ML2026

Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models

TrungKhang Tran, TrungTin Nguyen, Md Abul Bashar +3

Mixture-of-Experts (MoE) architectures combine specialized predictors through a learned gate and are effective across regression and classification, but for classification with sof…

stat.ML2026

Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts

TrungKhang Tran, TrungTin Nguyen, Gersende Fort +5

Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repe…

cs.CV2025

LGCA: Enhancing Semantic Representation via Progressive Expansion

Thanh Hieu Cao, Trung Khang Tran, Gia Thinh Pham +2

Recent advancements in large-scale pretraining in natural language processing have enabled pretrained vision-language models such as CLIP to effectively align images and text, sign…

cs.IT2025

Matrix Completion in Group Testing: Bounds and Simulations

Trung-Khang Tran, Thach V. Bui

The goal of group testing is to identify a small number of defective items within a large population. In the non-adaptive setting, tests are designed in advance and represented by…

cs.LG2025

Communication Bounds for the Distributed Experts Problem

Zhihao Jia, Qi Pang, Trung Tran +3

In this work, we study the experts problem in the distributed setting where an expert's cost needs to be aggregated across multiple servers. Our study considers various communicati…