Guoxuan Xia

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Problems In Computational Biology

Diffusion Model

Laplace Transform

Top Venues

Publications

Zehui Li, Yuhao Ni, William A. V. Beardall, Guoxuan Xia, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
DiscDiff: Latent Diffusion Model for DNA Sequence Generation. CoRR (2024)
Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR (2024)
Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao
Latent Diffusion Model for DNA Sequence Generation. CoRR (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. CoRR (2023)
Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales
Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties. UAI (2023)
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. ICCV (2023)
Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties. CoRR (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. CoRR (2022)
Guoxuan Xia, Christos-Savvas Bouganis
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. ACCV (6) (2022)
Guoxuan Xia, Christos-Savvas Bouganis
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection. CoRR (2022)
Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks. CoRR (2021)