Pham, Minh

12 publications

NeurIPS 2025 When Are Concepts Erased from Diffusion Models? Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen

NeurIPSW 2024 A Unified Convergence Theory for Large Language Model Efficient Fine-Tuning Zhanhong Jiang, Nastaran Saadati, Aditya Balu, Minh Pham, Joshua Russell Waite, Nasla Saleem, Chinmay Hegde, Soumik Sarkar

ICLR 2024 Circumventing Concept Erasure Methods for Text-to-Image Generative Models Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde

CVPR 2024 DIMAT: Decentralized Iterative Merging-and-Training for Deep Learning Models Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanong Jiang, Chinmay Hegde, Soumik Sarkar

NeurIPSW 2024 SolidMark: Evaluating Image Memorization in Generative Models Nicky Kriplani, Minh Pham, Gowthami Somepalli, Chinmay Hegde, Niv Cohen

NeurIPSW 2024 SolidMark: How to Evaluate Memorization in Image Generative Models Nicky Kriplani, Minh Pham, Malikka Rajshahi, Chinmay Hegde, Niv Cohen

TMLR 2023 Distributionally Robust Classification on a Data Budget Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

NeurIPS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho

NeurIPS 2022 Improving Transformer with an Admixture of Attention Heads Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Duy Nguyen, Nhat Ho, Stanley Osher

ICMLW 2022 Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization Trong Duong, Sang T. Truong, Minh Pham, Bao Bach, June-Koo Rhee

IJCAI 2021 SPADE: A Semi-Supervised Probabilistic Approach for Detecting Errors in Tables Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara

JMLR 2014 Alternating Linearization for Structured Regularization Problems Xiaodong Lin, Minh Pham, Andrzej Ruszczyński