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Found 10 papers, 3 papers with code
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
Vertebral body compression fractures are reliable early signs of osteoporosis.
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface
In this paper, we propose a novel approach to predict the post-menstrual age (PA) at scan, using techniques from geometric deep learning, based on the neonatal white matter cortical surface.
Episodic Memory for Learning Subjective-Timescale Models
In model-based learning, an agent's model is commonly defined over transitions between consecutive states of an environment even though planning often requires reasoning over multi-step timescales, with intermediate states either unnecessary, or worse, accumulating prediction error.
Exploration and preference satisfaction trade-off in reward-free learning
In this paper, we pursue the notion that this learnt behaviour can be a consequence of reward-free preference learning that ensures an appropriate trade-off between exploration and preference satisfaction.
Episodic Memory for Subjective-Timescale Models
Planning in complex environments requires reasoning over multi-step timescales.
Variational Predictive Routing with Nested Subjective Timescales
Discovery and learning of an underlying spatiotemporal hierarchy in sequential data is an important topic for machine learning.
Bayesian sense of time in biological and artificial brains
Enquiries concerning the underlying mechanisms and the emergent properties of a biological brain have a long history of theoretical postulates and experimental findings.
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization
We propose a new two-step algorithm to localize the vertebral column in 3D CT images and then detect individual vertebrae and quantify fractures in 2D simultaneously.
Modelling non-reinforced preferences using selective attention
These memories are selectively attended to, using attention and gating blocks, to update agent's preferences.
Long-horizon video prediction using a dynamic latent hierarchy
The task of video prediction and generation is known to be notoriously difficult, with the research in this area largely limited to short-term predictions.
