Tran, Linh

6 publications

ICLR 2025 Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Linh Tran, Wei Sun, Stacy Patterson, Ana Milanova

JMLR 2022 Cauchy–Schwarz Regularized Autoencoder Linh Tran, Maja Pantic, Marc Peter Deisenroth

CVPR 2022 JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints Karl D.D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

NeurIPS 2022 MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi Amiri, Ghassan Hamarneh

ICML 2020 How Good Is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

ICML 2020 The K-Tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling, Linh Tran, Joshua Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin