Octavian-Eugen Ganea

According to our database1, Octavian-Eugen Ganea authored at least 23 papers between 2012 and 2022.

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Bibliography

2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.
Proceedings of the International Conference on Machine Learning, 2022

Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Computationally Tractable Riemannian Manifolds for Graph Embeddings.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Message Passing Networks for Molecules with Tetrahedral Chirality.
CoRR, 2020

Optimal Transport Graph Neural Networks.
CoRR, 2020

Constant Curvature Graph Convolutional Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Mixed-curvature Variational Autoencoders.
Proceedings of the 8th International Conference on Learning Representations, 2020

Hierarchical Image Classification using Entailment Cone Embeddings.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Non-Euclidean Neural Representation Learning of Words, Entities and Hierarchies.
PhD thesis, 2019

Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities.
Proceedings of the 36th International Conference on Machine Learning, 2019

Poincare Glove: Hyperbolic Word Embeddings.
Proceedings of the 7th International Conference on Learning Representations, 2019

Riemannian Adaptive Optimization Methods.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Hyperbolic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning and Evaluating Sparse Interpretable Sentence Embeddings.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Web2Text: Deep Structured Boilerplate Removal.
Proceedings of the Advances in Information Retrieval, 2018

Neural Multi-step Reasoning for Question Answering on Semi-structured Tables.
Proceedings of the Advances in Information Retrieval, 2018

End-to-End Neural Entity Linking.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
Deep Joint Entity Disambiguation with Local Neural Attention.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking.
Proceedings of the 25th International Conference on World Wide Web, 2016

2012
Specification and Validation of a Real-Time Simple Parallel Kernel for Dependable Distributed Systems.
Proceedings of the 2012 Third International Conference on Emerging Intelligent Data and Web Technologies, 2012


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