Gary Becigneul | DeepAI

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Bernhard Schölkopf
271 publications
Regina Barzilay
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Anshumali Shrivastava
73 publications
Thomas Hofmann
66 publications
Tommi Jaakkola
64 publications
Sylvain Gelly
39 publications
Aliaksei Severyn
22 publications
Octavian-Eugen Ganea
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Benjamin Coleman
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Yannic Kilcher
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Gregor Bachmann
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∙ 07/21/2020

Bloom Origami Assays: Practical Group Testing

We study the problem usually referred to as group testing in the context...

0 Louis Abraham, et al. ∙

∙ 06/08/2020

Optimal Transport Graph Neural Networks

Current graph neural network (GNN) architectures naively average or sum ...

0 Gary Becigneul, et al. ∙

∙ 05/13/2020

Crackovid: Optimizing Group Testing

We study the problem usually referred to as group testing in the context...

5 Louis Abraham, et al. ∙

∙ 02/20/2020

Computationally Tractable Riemannian Manifolds for Graph Embeddings

Representing graphs as sets of node embeddings in certain curved Riemann...

0 Calin Cruceru, et al. ∙

∙ 11/19/2019

Mixed-curvature Variational Autoencoders

It has been shown that using geometric spaces with non-zero curvature in...

0 Ondrej Skopek, et al. ∙

∙ 11/12/2019

Constant Curvature Graph Convolutional Networks

Interest has been rising lately towards methods representing data in non...

0 Gregor Bachmann, et al. ∙

∙ 07/23/2019

Noise Contrastive Variational Autoencoders

We take steps towards understanding the "posterior collapse (PC)" diffic...

3 Octavian-Eugen Ganea, et al. ∙

∙ 02/21/2019

Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities

The softmax function on top of a final linear layer is the de facto meth...

16 Octavian-Eugen Ganea, et al. ∙

∙ 10/15/2018

Poincaré GloVe: Hyperbolic Word Embeddings

Words are not created equal. In fact, they form an aristocratic graph wi...

0 Alexandru Tifrea, et al. ∙

∙ 10/01/2018

Riemannian Adaptive Optimization Methods

Several first order stochastic optimization methods commonly used in the...

0 Gary Becigneul, et al. ∙

∙ 05/23/2018

Hyperbolic Neural Networks

Hyperbolic spaces have recently gained momentum in the context of machin...

0 Octavian-Eugen Ganea, et al. ∙

∙ 04/03/2018

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

Learning graph representations via low-dimensional embeddings that prese...

0 Octavian-Eugen Ganea, et al. ∙

∙ 10/31/2017

Parametrizing filters of a CNN with a GAN

It is commonly agreed that the use of relevant invariances as a good sta...

0 Yannic Kilcher, et al. ∙

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