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Poster
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Thu 14:00
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Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik · Petar Veličković
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Poster
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Wed 9:00
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PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration
Xuan Li · Yadi Cao · Minchen Li · Yin Yang · Craig Schroeder · Chenfanfu Jiang
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Poster
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Wed 14:00
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Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng · Shufeng Kong · Caihua Liu · Bo An
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Poster
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Wed 9:00
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IALE: Imitating Active Learner Ensembles
Christoffer Löffler · Christopher Mutschler
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Poster
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Wed 9:00
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SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
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Poster
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Thu 9:00
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Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
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Poster
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Tue 14:00
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Diversity vs. Recognizability: Human-like generalization in one-shot generative models
Victor Boutin · Lakshya Singhal · Xavier Thomas · Thomas Serre
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Poster
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Wed 14:00
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S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction
Kennard Chan · Guosheng Lin · Haiyu Zhao · Weisi Lin
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Poster
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Thu 14:00
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Alternating Mirror Descent for Constrained Min-Max Games
Andre Wibisono · Molei Tao · Georgios Piliouras
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Poster
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Tue 14:00
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Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
Subhabrata Majumdar · George Michailidis
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Poster
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Thu 14:00
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(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
Jeremiah Birrell · Paul Dupuis · Markos A. Katsoulakis · Yannis Pantazis · Luc Rey-Bellet
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Poster
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Wed 9:00
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GriddlyJS: A Web IDE for Reinforcement Learning
Christopher Bamford · Minqi Jiang · Mikayel Samvelyan · Tim Rocktäschel
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