| Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data G Xia, CS Bouganis Asian Conference on Computer Vision 2022, 2022 | 13 | 2022 |
| On the usefulness of deep ensemble diversity for out-of-distribution detection G Xia, CS Bouganis arXiv preprint arXiv:2207.07517, 2022 | 6 | 2022 |
| Window-based early-exit cascades for uncertainty estimation: When deep ensembles are more efficient than single models G Xia, CS Bouganis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties Y Fathullah, G Xia, MJF Gales Uncertainty in Artificial Intelligence, 582-591, 2023 | 3 | 2023 |
| Latent Diffusion Model for DNA Sequence Generation Z Li, Y Ni, TAB Huygelen, A Das, G Xia, GB Stan, Y Zhao arXiv preprint arXiv:2310.06150, 2023 | 2 | 2023 |
| An underexplored dilemma between confidence and calibration in quantized neural networks G Xia, S Ha, T Azevedo, P Maji arXiv preprint arXiv:2111.08163, 2021 | 1 | 2021 |
| Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It G Xia, O Laurent, G Franchi, CS Bouganis arXiv preprint arXiv:2403.14715, 2024 | | 2024 |
| DiscDiff: Latent Diffusion Model for DNA Sequence Generation Z Li, Y Ni, WAV Beardall, G Xia, A Das, GB Stan, Y Zhao arXiv preprint arXiv:2402.06079, 2024 | | 2024 |
| Score Normalization for a Faster Diffusion Exponential Integrator Sampler G Xia, D Danier, A Das, S Fotiadis, F Nabiei, U Sengupta, A Bernacchia arXiv preprint arXiv:2311.00157, 2023 | | 2023 |
| Window-Based Early-Exit Cascades for Uncertainty Estimation Supplementary Material G Xia, CS Bouganis | | |
| Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Supplemental Material G Xia, CS Bouganis | | |
Christos BouganisImperial College LondonVerifierad e-postadress på ic.ac.uk
