Truong, Tuan

8 publications

ICLR 2025 AstroCompress: A Benchmark Dataset for Multi-Purpose Compression of Astronomical Data Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom

ICCV 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective Hoang Phan, Lam Tran, Quyen Tran, Ngoc Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Phung, Trung Le

ICML 2025 Improving Generalization with Flat Hilbert Bayesian Inference Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le

ICML 2025 Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-Tuning Foundation Models Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le

ICML 2025 RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le, Trung Le, Nhat Ho

NeurIPSW 2024 Benchmarking Neural Lossless Compression Algorithms on Multi-Purpose Astronomical Image Data Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom

NeurIPS 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Phung, Trung Le

NeurIPS 2022 Expected Improvement for Contextual Bandits Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh