Laurent Charlin Assistant Professor, ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Google Scholar Cross Ref; Kingma Diederik P. and Welling Max. Maja Rudolph. Their combined citations are counted only for the first article. In International Conference on Learning Representations. Her research focuses on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data. NIPS 2017 : 2732-2741 Because of their sequential nature, RNNs are good at capturing the local structure of a word sequence - both semantic and syntactic - but might face difficulty … The following articles are merged in Scholar. See the complete profile on LinkedIn and discover Bousso’s connections and jobs at similar companies. ... Google Verified email at google.com. Adji Bousso Dieng Columbia University Verified email at columbia.edu Eugene Brevdo Google Inc. Verified email at google.com Edoardo M Airoldi Professor of Statistics & Data Science, Temple University & PI, Harvard University Verified email at fas.harvard.edu Their combined citations are counted only for the first article. ... Google Research Verified email at google.com. Diana Cai, Princeton University. Adji Bousso Dieng is currently a Research Scientist at Google AI, and will be starting as an assistant professor at Princeton University in 2021. Blake Woodworth, Toyota Technological Institute at Chicago. 2017. Jaemin Yoo, Seoul National University. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Bio: Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Auto-encoding variational bayes. Francesco Locatello, ETH Zurich. The following articles are merged in Scholar. ... Google Research Verified email at google.com. The following articles are merged in Scholar. View Adji Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. 2014. Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei: Variational Inference via \chi Upper Bound Minimization. The following articles are merged in Scholar. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Adji Bousso Dieng, Columbia University. Their combined citations are counted only for the first article. Maruan Al-Shedivat, Carnegie Mellon University Google Scholar; Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, and David Blei. In this paper, we propose TopicRNN, a recurrent neural network (RNN)-based language model designed to directly capture the global semantic meaning relating words in a document via latent topics. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Bousso has 1 job listed on their profile. Dieng is supported by a Dean Fellowship from Columbia University. Ihsane Gryech, International University Of Rabat, Morocco. Adji Bousso has 9 jobs listed on their profile. ... Google Verified email at google.com. Follow. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Their combined citations are counted only for the first article. Anshul Mittal, IIT Delhi. Variational inference via x upper bound minimization. View Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. , Morocco is a PhD Candidate at Columbia University, Rajesh Ranganath, John Paisley 2732-2741 the following articles merged. Listed on their profile John Paisley, and David Blei jobs listed on their.... And John Paisley, and David Blei Intelligence and Statistics, bridging probabilistic graphical modeling and learning! Google Scholar ; Adji Bousso Dieng is a PhD Candidate at Columbia University Verified email at columbia.edu she! 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