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Optimal Transport Graph Neural Networks

Jun 11, 2020
Gary Bécigneul, Octavian-Eugen Ganea, Benson Chen, Regina Barzilay, Tommi Jaakkola


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Crackovid: Optimizing Group Testing

May 13, 2020
Louis Abraham, Gary Bécigneul, Bernhard Schölkopf


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Computationally Tractable Riemannian Manifolds for Graph Embeddings

Feb 20, 2020
Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea

* Submitted to International Conference on Machine Learning (ICML) 2020 

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Mixed-curvature Variational Autoencoders

Nov 19, 2019
Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul


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Constant Curvature Graph Convolutional Networks

Nov 12, 2019
Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea


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Noise Contrastive Variational Autoencoders

Jul 31, 2019
Octavian-Eugen Ganea, Yashas Annadani, Gary Bécigneul

* There is a mistake common to all the main proofs. In summary, what we find are saddle points or global maxima of the respective loss functions and not the global minima. We apologize for this 

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Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities

Feb 21, 2019
Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn


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Poincaré GloVe: Hyperbolic Word Embeddings

Oct 15, 2018
Alexandru Tifrea, Gary Bécigneul, Octavian-Eugen Ganea


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Riemannian Adaptive Optimization Methods

Oct 01, 2018
Gary Bécigneul, Octavian-Eugen Ganea


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Hyperbolic Neural Networks

Jun 28, 2018
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann


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Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

Jun 06, 2018
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann

* International Conference on Machine Learning (ICML) 2018 

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On the effect of pooling on the geometry of representations

Mar 20, 2017
Gary Bécigneul


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