| Masksembles for uncertainty estimation N Durasov, T Bagautdinov, P Baque, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 174 | 2021 |
| Leveraging self-supervision for cross-domain crowd counting W Liu, N Durasov, P Fua [Oral Paper] Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2022 | 72 | 2022 |
| Centaur: Robust end-to-end autonomous driving with test-time training C Sima, K Chitta, Z Yu, S Lan, P Luo, A Geiger, H Li, JM Alvarez arXiv preprint arXiv:2503.11650, 2025 | 50 | 2025 |
| Mirrorcheck: Efficient adversarial defense for vision-language models S Fares, K Ziu, T Aremu, N Durasov, M Takáč, P Fua, K Nandakumar, ... [Distinguished Paper Award🏆] Proceedings of the IEEE/CVF Conference on …, 2026 | 38 | 2026 |
| How to boost face recognition with stylegan? A Sevastopolskiy, Y Malkov, N Durasov, L Verdoliva, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30 | 2023 |
| ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N Durasov, N Dorndorf, H Le, P Fua Transactions on Machine Learning Research 2025, 2024 | 29 | 2024 |
| Enabling Uncertainty Estimation in Iterative Neural Networks N Durasov, D Oner, J Donier, H Le, P Fua International Conference on Machine Learning 2024, 2024 | 21 | 2024 |
| DEBOSH: Deep Bayesian Shape Optimization N Durasov, A Lukoyanov, J Donier, P Fua arXiv preprint arXiv:2109.13337, 2021 | 20 | 2021 |
| Double refinement network for efficient indoor monocular depth estimation N Durasov, M Romanov, V Bubnova, P Bogomolov, A Konushin 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 17* | 2018 |
| Uncertainty-Guided Data Curation for 3D Object Detection N Durasov, R Mahmood, J Choi, MT Law, J Lucas, P Fua, JM Alvarez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026 | 14* | 2026 |
| Learning node embeddings for influence set completion S Ivanov, N Durasov, E Burnaev 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1034-1037, 2018 | 11 | 2018 |
| IT : Idempotent Test-Time Training N Durasov, A Shocher, D Oner, G Chechik, AA Efros, P Fua International Conference on Machine Learning 2025, 2024 | 10 | 2024 |
| Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers V Skorokhodov, N Durasov, P Fua Transactions on Machine Learning Research 2026, 2026 | 7* | 2026 |
| Partal: Efficient partial active learning in multi-task visual settings N Durasov, N Dorndorf, P Fua arXiv preprint arXiv:2211.11546 2, 2022 | 6 | 2022 |
| Scalable Parallel Prompting for Complex AV Video Captioning A Yang, R Amoroso, N Durasov, D Bisla, S Kundu, E Haussmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026 | 1 | 2026 |
| Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression E Foglia, B Bobbia, N Durasov, M Bauerheim, P Fua, S Moreau, T Jardin arXiv preprint arXiv:2503.13317, 2025 | 1 | 2025 |
| Uncertainty estimation for object detection in autonomous and semi-autonomous systems and applications N Durasov, J Choi, RR Mahmood, M Law, JR Lucas, JMA Lopez US Patent App. 19/080,666, 2026 | | 2026 |
| Handbook of Bayesian Deep Learning C Agostinelli, L Aitchison, E Aldea, R Allmendinger, S Ament, B Anson, ... | | 2026 |
| Uncertainty in Modern Deep Learning N Durasov EPFL, 2025 | | 2025 |
| Machine Learning Course, Project 2 Unsupervised Object Segmentation by Redrawing: reproducibility challenge F Moiseev, A Lukoianov, N Durasov | | |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
