Xia, Guoxuan

11 publications

TMLR 2025 A Practical Investigation of Spatially-Controlled Image Generation with Transformers Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot

UAI 2025 Generative Uncertainty in Diffusion Models Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt

ICLRW 2025 Generative Uncertainty in Diffusion Models Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt

ICLR 2025 Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

CVPR 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer

NeurIPS 2024 Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

NeurIPSW 2024 MD-DiT: Step-Aware Mixture-of-Depths for Efficient Diffusion Transformers Mingzhu Shen, Pengtao Chen, Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao

NeurIPSW 2023 Latent Diffusion Model for DNA Sequence Generation Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao

UAI 2023 Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales

ICCV 2023 Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles Are More Efficient than Single Models Guoxuan Xia, Christos-Savvas Bouganis

NeurIPSW 2021 An Underexplored Dilemma Between Confidence and Calibration in Quantized Neural Networks Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji