May 4th, 2023 
Daniela Lopez de Luise I am excited to announce that my team and I are the organisers of the upcoming #UAI 2023 workshop on “Epistemic Uncertainty in Artificial Intelligence”
https://lnkd.in/ew9fUWrS
as part of our #horizon2020 Epistemic AI #EU project:
https://lnkd.in/grbkStWQ
E-pi@UAI 2023 aims to raise awareness around the modelling of epistemic #uncertainty in #AI and #machinelearning, a rapidly emerging topic in the #artificialintelligence community represented at UAI.
As we aim for the broadest possible involvement, we invite the submission of peer-reviewed papers covering the following topics:
– Model uncertainty estimation
– Robustness to distribution shift
– Out-of-distribution generalisation
– Model adaptation
– Datasets and protocols for evaluating uncertainty and #robustness
– Conformal prediction
– Distribution-free uncertainty quantification
– #optimisation under uncertainty
– Uncertainty estimation using deep ensembles
– #bayesian #deeplearning (approximate inference, Bayesian deep #reinforcementlearning)
– Deep recognition models for #variational inference
– Epistemic learning
– Uncertainty in real-world applications (e.g. #autonomousdriving, #healthcare, #languagemodels).
The list is not exhaustive.
Papers submitted to E-pi@UAI 2023 will need to follow the UAI format. Submission takes place via CMT:
https://lnkd.in/ezqa4EKr
We will award prizes for the best paper and the best student paper, and consider the publication of a #proceedings volume, subject to attracting a sufficient number of high-quality papers.
The event features invited speakers of the calibre of Gert de Cooman (Ghent), Marco Zaffalon (IDSIA USI-SUPSI), Yarin Gal (University of Oxford) and Aaditya Ramdas (Carnegie Mellon University).
Organizers: Prof. Fabio Cuzzolin (Oxford Brookes University, Institute for Ethical AI), Prof. Matthijs Spaan (Delft University of Technology), Dr. Keivan Shariatmadar (KU Leuven), Dr. Dr. Maryam Sultana (Oxford Brookes), Kaizheng Wang (KU Leuven), and Shireen Kudukkil Manchingal (Oxford Brookes).
Submission deadline: June 10, 2023, 23:59 anywhere on Earth.
Looking forward to seeing you at the E-pi@UAI 2023 workshop!
https://lnkd.in/ew9fUWrS
as part of our #horizon2020 Epistemic AI #EU project:
https://lnkd.in/grbkStWQ
E-pi@UAI 2023 aims to raise awareness around the modelling of epistemic #uncertainty in #AI and #machinelearning, a rapidly emerging topic in the #artificialintelligence community represented at UAI.
As we aim for the broadest possible involvement, we invite the submission of peer-reviewed papers covering the following topics:
– Model uncertainty estimation
– Robustness to distribution shift
– Out-of-distribution generalisation
– Model adaptation
– Datasets and protocols for evaluating uncertainty and #robustness
– Conformal prediction
– Distribution-free uncertainty quantification
– #optimisation under uncertainty
– Uncertainty estimation using deep ensembles
– #bayesian #deeplearning (approximate inference, Bayesian deep #reinforcementlearning)
– Deep recognition models for #variational inference
– Epistemic learning
– Uncertainty in real-world applications (e.g. #autonomousdriving, #healthcare, #languagemodels).
The list is not exhaustive.
Papers submitted to E-pi@UAI 2023 will need to follow the UAI format. Submission takes place via CMT:
https://lnkd.in/ezqa4EKr
We will award prizes for the best paper and the best student paper, and consider the publication of a #proceedings volume, subject to attracting a sufficient number of high-quality papers.
The event features invited speakers of the calibre of Gert de Cooman (Ghent), Marco Zaffalon (IDSIA USI-SUPSI), Yarin Gal (University of Oxford) and Aaditya Ramdas (Carnegie Mellon University).
Organizers: Prof. Fabio Cuzzolin (Oxford Brookes University, Institute for Ethical AI), Prof. Matthijs Spaan (Delft University of Technology), Dr. Keivan Shariatmadar (KU Leuven), Dr. Dr. Maryam Sultana (Oxford Brookes), Kaizheng Wang (KU Leuven), and Shireen Kudukkil Manchingal (Oxford Brookes).
Submission deadline: June 10, 2023, 23:59 anywhere on Earth.
Looking forward to seeing you at the E-pi@UAI 2023 workshop!
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