Guoxuan Xia

According to our database, Guoxuan Xia authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Practical Investigation of Spatially-Controlled Image Generation with Transformers.

Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot

CoRR, July, 2025

Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities.

Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot

CoRR, March, 2025

Generative Uncertainty in Diffusion Models.

Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric T. Nalisnick, Stephan Mandt

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation.

Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data.

Guoxuan Xia, Christos-Savvas Bouganis

Int. J. Comput. Vis., September, 2024

Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences.

Zehui Li, Yuhao Ni, Guoxuan Xia, William A. V. Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

CoRR, 2024

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

CoRR, 2024

DiscDiff: Latent Diffusion Model for DNA Sequence Generation.

Zehui Li, Yuhao Ni, William A. V. Beardall, Guoxuan Xia, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

CoRR, 2024

Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences.

Zehui Li, Yuhao Ni, Guoxuan Xia, William A. V. Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Score Normalization for a Faster Diffusion Exponential Integrator Sampler.

Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia

CoRR, 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

CoRR, 2023

Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties.

Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models.

Guoxuan Xia, Christos-Savvas Bouganis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection.

Guoxuan Xia, Christos-Savvas Bouganis

CoRR, 2022

Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data.

Guoxuan Xia, Christos-Savvas Bouganis

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks.

Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji

CoRR, 2021