We are happy to announce the #ICCV2023 #UNCV2023 Workshop: Workshop on Uncertainty Quantification for Computer Vision (uncv2023.github.io). We welcome full papers and extended abstracts. Join also our ICCV competition for Uncertainty quantification muad-dataset.github.io

If you're coming to European Conference on Computer Vision #ECCV2026 consider our freshly accepted tutorial on: A Bayesian Odyssey in Uncertainty: from Theoretical Foundations 📝 to Real-World Applications 🚀 w/ the amazing Gianni Franchi Olivier Laurent Alexander Immer Pavel Izmailov More info coming soon #eccv2024

If you're intrigued by the connection between symmetries and Bayesian Neural Networks, or keen to delve deeper into Uncertainty Quantification and DNNs, join us for our poster session this Wednesday morning at Poster 211! #iclr2024 ICLR 2026 #uncertainty

If you're at #iclr2024 go see Gianni Franchi & Olivier Laurent's poster on exploring the posterior distribution of Deep Bayesian Neural Networks of real-world computer vision tasks and architectures. If you're at home, check out their paper: arxiv.org/abs/2310.08287

The Neural Collapse theory, explaining the penultimate layer of DNNs for ID data, can also explain the same layer for OOD data. If you're curious about understanding NC and its connection with OOD, don't miss our poster this Thursday morning at Poster 240! #iclr2024 ICLR 2026