Guoxuan Xia

According to our database, Guoxuan Xia authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

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