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108 Results
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Poster
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Thu 6:00 |
GraphOpt: Learning Optimization Models of Graph Formation Rakshit Trivedi · Jiachen Yang · Hongyuan Zha |
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Poster
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Wed 8:00 |
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck |
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Poster
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Tue 12:00 |
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification Tomer Golany · Kira Radinsky · Daniel Freedman |
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Poster
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Tue 8:00 |
Near-optimal sample complexity bounds for learning Latent k−polytopes and applications to Ad-Mixtures Chiranjib Bhattacharyya · Ravindran Kannan |
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Poster
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Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li · Benjamin M Marlin |
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Poster
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Tue 12:00 |
Normalizing Flows on Tori and Spheres Danilo J. Rezende · George Papamakarios · Sebastien Racaniere · Michael Albergo · Gurtej Kanwar · Phiala Shanahan · Kyle Cranmer |
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Poster
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Thu 12:00 |
Predictive Coding for Locally-Linear Control Rui Shu · Tung Nguyen · Yinlam Chow · Tuan Pham · Khoat Than · Mohammad Ghavamzadeh · Stefano Ermon · Hung Bui |
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Poster
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Thu 13:00 |
A Generative Model for Molecular Distance Geometry Gregor Simm · Jose Miguel Hernandez-Lobato |
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Poster
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Tue 18:00 |
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space Keizo Kato · Jing Zhou · Tomotake Sasaki · Akira Nakagawa |
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Poster
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Thu 17:00 |
A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi · Minkai Xu · Hongyu Guo · Ming Zhang · Jian Tang |
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Workshop
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Sat 2:25 |
INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Chris Cremer · Ricky T. Q. Chen · Danilo J. Rezende |
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Poster
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Thu 6:00 |
Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton |