Non-Markov Decision Processes and Reinforcement Learning
We present non-Markov decision processes, where rewards and dynamics can depend on the history of events. This is contrast with Markov Decision Processes, where the dependency is limited to the last state and action.
Augmentation-free unsupervised approach for point clouds
Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods.
I-AR project
The project aimed to implement fair automatic recognition by offering guidance in policy development on an European and national level.
Artificial intelligence tools and their responsible use in higher education learning and teaching
Following the widespread concern and debate provoked by the arrival of ChatGPT and similar artificial intelligence (AI) tools, the European University Association’s Learning and Teaching Steering Committee shares key considerations for European un
Getting Hired “NYC Bias Audit” Ready
Holistic AI conducted a Bias Audit for Hired to demonstrate compliance ahead of NYC Local Law 144 (“NYC Bias Audit” legislation), which will come into effect on 1st January 2023.