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28 Results

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Poster
Thu 18:30 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Wed 10:30 Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity
Lu Mi · Richard Xu · Sridhama Prakhya · Albert Lin · Nir Shavit · Aravinthan Samuel · Srinivas C Turaga
Poster
Wed 2:30 Deep Attentive Variational Inference
Ifigeneia Apostolopoulou · Ian Char · Elan Rosenfeld · Artur Dubrawski
Poster
Thu 2:30 A Deep Variational Approach to Clustering Survival Data
Laura Manduchi · Ričards Marcinkevičs · Michela Massi · Thomas Weikert · Alexander Sauter · Verena Gotta · Timothy Müller · Flavio Vasella · Marian Neidert · Marc Pfister · Bram Stieltjes · Julia E Vogt
Poster
Wed 2:30 On the Limitations of Multimodal VAEs
Imant Daunhawer · Thomas Sutter · Kieran Chin-Cheong · Emanuele Palumbo · Julia E Vogt
Poster
Thu 2:30 Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner · Guy Rotman · Yossi Adi · Roi Reichart · Tamir Hazan
Poster
Wed 10:30 Step-unrolled Denoising Autoencoders for Text Generation
Nikolay Savinov · Junyoung Chung · Mikolaj Binkowski · Erich Elsen · Aaron v den
Workshop
Convolutional autoencoders for spatially-informed ensemble post-processing
Sebastian Lerch · Kai Polsterer
Workshop
Fri 11:55 Convolutional autoencoders for spatially-informed ensemble post-processing
Sebastian Lerch · Kai Polsterer
Workshop
Auto-regressive WaveNet Variational Autoencoders for Alignment-free Generative Protein Design and Fitness Prediction
Niksa Praljak · Andrew Ferguson
Workshop
Fri 8:15 GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation
Edward Els Kosasih
Workshop
Deep sharpening of topological features for de novo protein design
Zander Harteveld · Joshua Southern · Michaël Defferrard · Andreas Loukas · Pierre Vandergheynst · Micheal Bronstein · Bruno Correia