| Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data G Xia, CS Bouganis Asian Conference on Computer Vision 2022, 2022 | 43 | 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 | 20 | 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 | 19 | 2023 |
| On the usefulness of deep ensemble diversity for out-of-distribution detection G Xia, CS Bouganis arXiv preprint arXiv:2207.07517, 2022 | 14 | 2022 |
| Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties Y Fathullah, G Xia, MJF Gales Uncertainty in Artificial Intelligence, 582-591, 2023 | 9 | 2023 |
| Towards 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 | 8* | 2024 |
| Akashaditya Das, Guy-Bart Stan, and Yiren Zhao. Discdiff: Latent diffusion model for dna sequence generation Z Li, Y Ni, WAV Beardall, G Xia arXiv preprint arXiv:2402.06079, 2024 | 8 | 2024 |
| Augmenting the softmax with additional confidence scores for improved selective classification with out-of-distribution data G Xia, CS Bouganis International Journal of Computer Vision 132 (9), 3714-3752, 2024 | 7 | 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 | 7 | 2024 |
| MD-DiT: Step-aware Mixture-of-Depths for Efficient Diffusion Transformers M Shen, P Chen, P Ye, G Xia, T Chen, CS Bouganis, Y Zhao Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0 | 6 | |
| Akashaditya Das, Guy-Bart Stan, and Yiren Zhao Z Li, Y Ni, WAV Beardall, G Xia Discdiff: Latent diffusion model for dna sequence generation, 2024 | 5 | 2024 |
| Generative Uncertainty in Diffusion Models M Jazbec, E Wong-Toi, G Xia, D Zhang, E Nalisnick, S Mandt arXiv preprint arXiv:2502.20946, 2025 | 4 | 2025 |
| Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation G Franchi, N Belkhir, DN Trong, G Xia, A Pilzer Proceedings of the Computer Vision and Pattern Recognition Conference, 8062-8072, 2025 | 3 | 2025 |
| 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 | 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 | 2 | 2021 |
| Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities R Dutt, H Hanspal, G Xia, PD Tudosiu, A Black, Y Yang, S McDonagh, ... arXiv preprint arXiv:2503.22517, 2025 | 1 | 2025 |
| Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences Z Li, Y Ni, G Xia, W Beardall, A Das, GB Stan, Y Zhao Advances in Neural Information Processing Systems 37, 21949-21978, 2024 | 1 | 2024 |
| Dynamic Mixture-of-Experts for Visual Autoregressive Model J Vincenti, M Jazbec, G Xia arXiv preprint arXiv:2510.08629, 2025 | | 2025 |
| A Practical Investigation of Spatially-Controlled Image Generation with Transformers G Xia, H Hanspal, PD Tudosiu, S Zhang, S Parisot arXiv preprint arXiv:2507.15724, 2025 | | 2025 |
| Window-Based Early-Exit Cascades for Uncertainty Estimation Supplementary Material G Xia, CS Bouganis | | |
Christos BouganisImperial College LondonVerified email at ic.ac.uk
