3 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 3 cited
Variational Hyper RNN for Sequence Modeling
Ruizhi Deng, Yanshuai Cao, Bo Chang +3
In this work, we propose a novel probabilistic sequence model that excels at capturing high variability in time series data, both across sequences and within an individual sequence…
cs.LG2019★ 3 cited
Point Process Flows
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed +5
Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature. We propose an intensity-free framework that directly model…
stat.ML2015★ 1 cited
Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM
Ali Punjani, Marcus A. Brubaker
Determining the 3D structures of biological molecules is a key problem for both biology and medicine. Electron Cryomicroscopy (Cryo-EM) is a promising technique for structure estim…