2026 arXiv BarrierSteer: LLM Safety via Learning Barrier Steering Thanh Q. Tran*, Arun Verma*, Kiwan Wong, Bryan Kian Hsiang Low, Daniela Rus, and Wei Xiao Preprint , 2026 PDF ICLR Tree-sliced Sobolev IPM Viet-Hoang Tran*, Thanh Tran*, Thanh Chu, Duy-Tung Pham, Trung-Khang Tran, Tam Le, and Tan Minh Nguyen In ICLR , 2026 PDF Code ICLR Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem Viet-Hoang Tran*, Thanh Tran*, Thanh Chu*, Duy-Tung Pham, Trung-Khang Tran, Tam Le, and Tan Minh Nguyen In ICLR , 2026 PDF Code 2025 NeurIPS Tree-Sliced Entropy Partial Transport Viet-Hoang Tran*, Thanh Tran, Thanh Chu, Tam Le, and Tan Minh Nguyen In NeurIPS , 2025 PDF Code ICML Tree-Sliced Wasserstein Distance with Nonlinear Projection Thanh Tran*, Hoang V. Tran*, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, and Tan Minh Nguyen In ICML , 2025 PDF Code ICML Equivariant Polynomial Functional Networks Thieu Vo*, Hoang V. Tran*, Tho Tran Huu*, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, and Tan Minh Nguyen In ICML , 2025 PDF ICLR Equivariant Neural Functional Networks for Transformers Hoang V. Tran*, Thieu Vo*, An Nguyen The*, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, and Tan Minh Nguyen In ICLR , 2025 Awareded PDF Code Spotlight at ICLR 2025 Workshop on Weight Space Learning * Equal contribution