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Books and Theses
- 2021
[b1]Gary Bécigneul:
On the Geometry of Data Representations. ETH Zurich, Zürich, Switzerland, 2021
Conference and Workshop Papers
- 2021
- [c11]Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea:
Computationally Tractable Riemannian Manifolds for Graph Embeddings. AAAI 2021: 7133-7141 - [c10]Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurélien Lucchi:
Momentum Improves Optimization on Riemannian Manifolds. AISTATS 2021: 1351-1359 - [c9]Zebin Zhong, Shiqi Yang, Gary Bécigneul:
Environment and Speaker Related Emotion Recognition in Conversations. CONF-CDS 2021: 183:1-183:6 - 2020
- [c8]Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurélien Lucchi:
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. AISTATS 2020: 1297-1307 - [c7]Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul:
Mixed-curvature Variational Autoencoders. ICLR 2020 - [c6]Gregor Bachmann, Gary Bécigneul, Octavian Ganea:
Constant Curvature Graph Convolutional Networks. ICML 2020: 486-496 - 2019
- [c5]Gary Bécigneul, Octavian-Eugen Ganea:
Riemannian Adaptive Optimization Methods. ICLR (Poster) 2019 - [c4]Alexandru Tifrea, Gary Bécigneul, Octavian-Eugen Ganea:
Poincare Glove: Hyperbolic Word Embeddings. ICLR (Poster) 2019 - [c3]Octavian Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. ICML 2019: 2073-2082 - 2018
- [c2]Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann:
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings. ICML 2018: 1632-1641 - [c1]Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann:
Hyperbolic Neural Networks. NeurIPS 2018: 5350-5360
Informal and Other Publications
- 2024
- [i14]Jovan Andonov, Octavian Ganea, Paulina Grnarova, Gary Bécigneul, Thomas Hofmann:
Explicit Word Density Estimation for Language Modelling. CoRR abs/2406.10256 (2024) - 2020
- [i13]Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea:
Computationally Tractable Riemannian Manifolds for Graph Embeddings. CoRR abs/2002.08665 (2020) - [i12]Louis Abraham, Gary Bécigneul, Bernhard Schölkopf:
Crackovid: Optimizing Group Testing. CoRR abs/2005.06413 (2020) - [i11]Gary Bécigneul, Octavian-Eugen Ganea, Benson Chen, Regina Barzilay, Tommi S. Jaakkola:
Optimal Transport Graph Neural Networks. CoRR abs/2006.04804 (2020) - [i10]Louis Abraham, Gary Bécigneul, Benjamin Coleman, Bernhard Schölkopf, Anshumali Shrivastava, Alexander J. Smola:
Bloom Origami Assays: Practical Group Testing. CoRR abs/2008.02641 (2020) - 2019
- [i9]Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. CoRR abs/1902.08077 (2019) - [i8]Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea:
Constant Curvature Graph Convolutional Networks. CoRR abs/1911.05076 (2019) - [i7]Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul:
Mixed-curvature Variational Autoencoders. CoRR abs/1911.08411 (2019) - 2018
- [i6]Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann:
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings. CoRR abs/1804.01882 (2018) - [i5]Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann:
Hyperbolic Neural Networks. CoRR abs/1805.09112 (2018) - [i4]Gary Bécigneul, Octavian-Eugen Ganea:
Riemannian Adaptive Optimization Methods. CoRR abs/1810.00760 (2018) - [i3]Alexandru Tifrea, Gary Bécigneul, Octavian-Eugen Ganea:
Poincaré GloVe: Hyperbolic Word Embeddings. CoRR abs/1810.06546 (2018) - 2017
- [i2]Gary Bécigneul:
On the effect of pooling on the geometry of representations. CoRR abs/1703.06726 (2017) - [i1]Yannic Kilcher, Gary Bécigneul, Thomas Hofmann:
Parametrizing filters of a CNN with a GAN. CoRR abs/1710.11386 (2017)
Coauthor Index
aka: Octavian Ganea
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