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Poster
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Wed 18:30
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Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Chun-Hao (Kingsley) Chang · Mingjie Mai · Anna Goldenberg
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Poster
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Tue 18:30
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Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner · Heinz Koeppl
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Poster
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Thu 18:30
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Learning Distance for Sequences by Learning a Ground Metric
Bing Su · Ying Wu
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Poster
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Wed 18:30
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Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
Alessandro Davide Ialongo · Mark van der Wilk · James Hensman · Carl E Rasmussen
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Poster
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Tue 18:30
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Imputing Missing Events in Continuous-Time Event Streams
Hongyuan Mei · Guanghui Qin · Jason Eisner
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Poster
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Tue 18:30
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Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
Dasaem Jeong · Taegyun Kwon · Yoojin Kim · Juhan Nam
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Poster
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Tue 18:30
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A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei · Harish Bhat
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Poster
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Tue 18:30
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A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell · Zaid Harchaoui
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Poster
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Wed 18:30
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Band-limited Training and Inference for Convolutional Neural Networks
Adam Dziedzic · John Paparrizos · Sanjay Krishnan · Aaron Elmore · Michael Franklin
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Poster
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Tue 18:30
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Switching Linear Dynamics for Variational Bayes Filtering
Philip Becker-Ehmck · Jan Peters · Patrick van der Smagt
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Poster
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Thu 18:30
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Exploring interpretable LSTM neural networks over multi-variable data
Tian Guo · Tao Lin · Nino Antulov-Fantulin
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Poster
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Wed 18:30
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A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
Sylvain Lamprier
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