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Gary Bécigneul, PhD
Gary Bécigneul, PhD
Gematria Technologies, Cofounder & CEO
Verified email at gematria.tech - Homepage
Title
Cited by
Cited by
Year
Hyperbolic Neural Networks
OE Ganea*, G Bécigneul*, T Hofmann
Accepted at NIPS 2018: Neural Information Processing Systems, 2018
3282018
Poincaré GloVe: Hyperbolic Word Embeddings
A Tifrea*, G Bécigneul*, OE Ganea*
Accepted at ICLR 2019: International Conference on Learning Representations, 2018
1862018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
OE Ganea, G Bécigneul, T Hofmann
Accepted at ICML 2018: International Conference on Machine Learning, 2018
1852018
Riemannian Adaptive Optimization Methods
G Bécigneul, OE Ganea
Accepted at ICLR 2019: International Conference on Learning Representations, 2018
1422018
Constant Curvature Graph Convolutional Networks
G Bachmann*, G Bécigneul*, OE Ganea
Accepted at ICML 2020: International Conference on Machine Learning, 2019
552019
Mixed-curvature variational autoencoders
O Skopek, OE Ganea, G Bécigneul
442020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
F Alimisis, A Orvieto, G Bécigneul, A Lucchi
Accepted at AISTATS 2020: Artificial Intelligence and Statistics, 2019
322019
Computationally Tractable Riemannian Manifolds for Graph Embeddings
C Cruceru, G Bécigneul, OE Ganea
Accepted at AAAI 2021: Association for the Advancement of Artificial …, 2020
202020
Mixed-curvature Variational Autoencoders
O Skopek, OE Ganea, G Bécigneul
Accepted at ICLR 2020: International Conference on Learning Representations, 2019
192019
Momentum improves optimization on Riemannian manifolds
F Alimisis, A Orvieto, G Becigneul, A Lucchi
International Conference on Artificial Intelligence and Statistics, 1351-1359, 2021
172021
Optimal transport graph neural networks
B Chen, G Bécigneul, OE Ganea, R Barzilay, T Jaakkola
arXiv preprint arXiv:2006.04804, 2020
172020
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
OE Ganea, S Gelly, G Bécigneul, A Severyn
Accepted at ICML 2019: International Conference on Machine Learning, 2019
142019
Practical Accelerated Optimization on Riemannian Manifolds
F Alimisis, A Orvieto, G Bécigneul, A Lucchi
Accepted at AISTATS 2021: Artificial Intelligence and Statistics, 2020
112020
Bloom origami assays: practical group testing
L Abraham, G Becigneul, B Coleman, B Scholkopf, A Shrivastava, ...
arXiv preprint arXiv:2008.02641, 2020
32020
On the effect of pooling on the geometry of representations
G Bécigneul
https://arxiv.org/pdf/1703.06726.pdf, 2017
32017
Crackovid: Optimizing Group Testing
L Abraham, G Bécigneul, B Schölkopf
https://arxiv.org/pdf/2005.06413.pdf, 2020
22020
Environment and Speaker Related Emotion Recognition in Conversations
Z Zhong, S Yang, G Becigneul
The 2nd International Conference on Computing and Data Science, 1-6, 2021
12021
Escaping Flat Areas via Function-Preserving Structural Network Modifications
Y Kilcher*, G Bécigneul*, T Hofmann
https://openreview.net/pdf?id=H1eadi0cFQ, 2018
12018
Riemannian Adaptive Optimization Methods
OE Ganea, G Bécigneul
7th International Conference on Learning Representations (ICLR 2019), 2018
12018
Parametrizing filters of a CNN with a GAN
Y Kilcher*, G Bécigneul*, T Hofmann
https://arxiv.org/pdf/1710.11386.pdf, 2017
12017
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