Hyperbolic Neural Networks OE Ganea*, G Bécigneul*, T Hofmann Accepted at NIPS 2018: Neural Information Processing Systems, 2018 | 99 | 2018 |
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings OE Ganea, G Bécigneul, T Hofmann Accepted at ICML 2018: International Conference on Machine Learning, 2018 | 86 | 2018 |
Poincaré GloVe: Hyperbolic Word Embeddings A Tifrea*, G Bécigneul*, OE Ganea* Accepted at ICLR 2019: International Conference on Learning Representations, 2018 | 75 | 2018 |
Riemannian Adaptive Optimization Methods G Bécigneul, OE Ganea Accepted at ICLR 2019: International Conference on Learning Representations, 2018 | 58 | 2018 |
Mixed-curvature Variational Autoencoders O Skopek, OE Ganea, G Bécigneul Accepted at ICLR 2020: International Conference on Learning Representations, 2019 | 14 | 2019 |
Constant Curvature Graph Convolutional Networks G Bachmann*, G Bécigneul*, OE Ganea Accepted at ICML 2020: International Conference on Machine Learning, 2019 | 9 | 2019 |
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 | 7 | 2019 |
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 | 4 | 2019 |
Optimal transport graph neural networks G Bécigneul, OE Ganea, B Chen, R Barzilay, T Jaakkola arXiv preprint arXiv:2006.04804, 2020 | 3 | 2020 |
Computationally Tractable Riemannian Manifolds for Graph Embeddings C Cruceru, G Bécigneul, OE Ganea Accepted at AAAI 2021: Association for the Advancement of Artificial …, 2020 | 3 | 2020 |
Practical Accelerated Optimization on Riemannian Manifolds F Alimisis, A Orvieto, G Bécigneul, A Lucchi Accepted at AISTATS 2021: Artificial Intelligence and Statistics, 2020 | 3 | 2020 |
On the effect of pooling on the geometry of representations G Bécigneul https://arxiv.org/pdf/1703.06726.pdf, 2017 | 3 | 2017 |
Bloom Origami Assays: Practical Group Testing L Abraham, G Becigneul, B Coleman, B Scholkopf, A Shrivastava, ... arXiv preprint arXiv:2008.02641, 2020 | 1 | 2020 |
Crackovid: Optimizing Group Testing L Abraham, G Bécigneul, B Schölkopf https://arxiv.org/pdf/2005.06413.pdf, 2020 | 1 | 2020 |
Parametrizing filters of a CNN with a GAN Y Kilcher*, G Bécigneul*, T Hofmann https://arxiv.org/pdf/1710.11386.pdf, 2017 | 1 | 2017 |
On the Geometry of Data Representations G Bécigneul ETH Zurich, 2021 | | 2021 |
Escaping Flat Areas via Function-Preserving Structural Network Modifications Y Kilcher*, G Bécigneul*, T Hofmann https://openreview.net/pdf?id=H1eadi0cFQ, 2018 | | 2018 |