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33 Results

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Poster
Tue 18:30 Variational Memory Addressing in Generative Models
Jörg Bornschein · Andriy Mnih · Daniel Zoran · Danilo Jimenez Rezende
Poster
Wed 18:30 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke
Poster
Mon 18:30 Tomography of the London Underground: a Scalable Model for Origin-Destination Data
Nicolò Colombo · Ricardo Silva · Soong Moon Kang
Poster
Wed 18:30 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris
Poster
Tue 18:30 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu · Yu Zhang · James Glass
Poster
Tue 18:30 Learning Overcomplete HMMs
Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant
Poster
Mon 18:30 On clustering network-valued data
Soumendu Sundar Mukherjee · Purnamrita Sarkar · Lizhen Lin
Poster
Mon 18:30 Predictive State Recurrent Neural Networks
Carlton Downey · Ahmed Hefny · Byron Boots · Geoffrey Gordon · Boyue Li
Poster
Wed 18:30 Linear Time Computation of Moments in Sum-Product Networks
Han Zhao · Geoffrey Gordon
Poster
Mon 18:30 Multi-way Interacting Regression via Factorization Machines
Mikhail Yurochkin · XuanLong Nguyen · nikolaos Vasiloglou
Poster
Wed 18:30 VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava · Lazar Valkov · Chris Russell · Michael Gutmann · Charles Sutton
Poster
Tue 18:30 Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman · Nicholas Rhinehart · Wen Sun · Lerrel Pinto · Martial Hebert · Byron Boots · Kris Kitani · J. Bagnell