2 citations · 4 across the 12 of their papers we have counts for
5 papers · 1 filter
Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning
Félicien Hêche, Sohrab Ferdowsi, Anthony Yazdani +2
Objective: The objective of this study is to develop a machine learning (ML)-based framework for early risk stratification of clinical trials (CTs) according to their likelihood of…
-VAE: Autoregressive parametrization of the VAE encoder
Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar +1
We make a minimal, but very effective alteration to the VAE model. This is about a drop-in replacement for the (sample-dependent) approximate posterior to change it from the standa…
Learning to compress and search visual data in large-scale systems
Sohrab Ferdowsi
The problem of high-dimensional and large-scale representation of visual data is addressed from an unsupervised learning perspective. The emphasis is put on discrete representation…
Network Learning with Local Propagation
Dimche Kostadinov, Behrooz Razeghi, Sohrab Ferdowsi +1
This paper presents a locally decoupled network parameter learning with local propagation. Three elements are taken into account: (i) sets of nonlinear transforms that describe the…
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
The Residual Quantization (RQ) framework is revisited where the quantization distortion is being successively reduced in multi-layers. Inspired by the reverse-water-filling paradig…