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Affinity Workshop
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Mon 6:15 |
A system for crowd counting in highly congested scenes geared towards smart transportation system Gilberto Ochoa-Ruiz |
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Affinity Workshop
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Mon 11:05 |
Towards an automated classification method for ureteroscopic in vivo kidney stone images using machine learning techniques Gilberto Ochoa-Ruiz |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang |
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Poster
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Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent |
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Poster
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Tue 7:00 |
Problems with Shapley-value-based explanations as feature importance measures Indra Kumar · Suresh Venkatasubramanian · Carlos Scheidegger · Sorelle Friedler |
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Poster
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Tue 8:00 |
An end-to-end approach for the verification problem: learning the right distance Joao Monteiro · Isabela Albuquerque · Jahangir Alam · R Devon Hjelm · Tiago Falk |
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Poster
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Tue 8:00 |
Meta-learning for Mixed Linear Regression Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh |
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Poster
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Tue 8:00 |
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets Daniel Kumor · Carlos Cinelli · Elias Bareinboim |
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Poster
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Tue 9:00 |
How Good is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel · Kevin Roth · Bastiaan Veeling · Jakub Swiatkowski · Linh Tran · Stephan Mandt · Jasper Snoek · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin |
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Poster
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Tue 10:00 |
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig |
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Poster
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Tue 10:00 |
Error Estimation for Sketched SVD via the Bootstrap Miles Lopes · N. Benjamin Erichson · Michael Mahoney |
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Poster
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Tue 12:00 |
On Contrastive Learning for Likelihood-free Inference Conor Durkan · Iain Murray · George Papamakarios |