Gary Becigneul
9 papers · 2018–2021 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (15) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird π Keyword Champion (2)
π§
Keyword Pioneer
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Grand Slam
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Core Methods
(5)
Mathematics & Optimization
(4)
Architectures
(3)
Optimization
(3)
Optimization & Theory Β· Machine Learning
(3)
Mathematics
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Core AI
(1)
Models
(1)
Optimization & Theory Β· Deep Learning
(1)
Reasoning
(1)
Techniques
(1)
Keywords
riemannian manifold
(4)
hyperbolic geometry
(2)
representation learning
(2)
matrix factorization
(2)
recurrent neural network
(1)
graph representation
(1)
stochastic gradient descent
(1)
directed acyclic graph
(1)
convex optimization
(1)
regret bound
(1)
accelerated gradient
(1)
adaptive optimization
(1)
variational autoencoder
(1)
language model
(1)
hierarchical embedding
(1)
node classification
(1)
latent space
(1)
first-order method
(1)
graph embedding
(1)
metric learning
(1)
Papers
Computationally Tractable Riemannian Manifolds for Graph Embeddings
AAAI 2021
Momentum Improves Optimization on Riemannian Manifolds
AISTATS 2021
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
AISTATS 2020
Constant Curvature Graph Convolutional Networks
ICML 2020
Mixed-curvature Variational Autoencoders
ICLR 2020
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
ICML 2019
Riemannian Adaptive Optimization Methods
ICLR 2019
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
ICML 2018
Hyperbolic Neural Networks
NeurIPS 2018