We introduce a new AI-ready computational pathology dataset containing
r...
Bootstrapping is behind much of the successes of Deep Reinforcement Lear...
In the clinic, resected tissue samples are stained with Hematoxylin-and-...
The growing complexity of spatial and structural information in 3D data ...
While recent machine learning research has revealed connections between ...
Target networks are at the core of recent success in Reinforcement Learn...
This paper identifies connections between predictive coding, from theore...
Policy networks are a central feature of deep reinforcement learning (RL...
Recent work by Marino et al. (2020) showed improved performance in seque...
We propose an approach for improving sequence modeling based on
autoregr...
We introduce the variational filtering EM algorithm, a simple,
general-p...
We present a method for registration and visualization of corresponding
...
Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D c...
Inference models are a key component in scaling variational inference to...
Videos express highly structured spatio-temporal patterns of visual data...
Radiological imaging of the prostate is becoming more popular among
rese...