| Deep Joint Entity Disambiguation with Local Neural Attention OE Ganea, T Hofmann Full paper at EMNLP'17: Conference on Empirical Methods in Natural Language …, 2017 | 195 | 2017 |
| Hyperbolic Neural Networks OE Ganea, G Bécigneul, T Hofmann Full paper at NeurIPS'18: Conference on Neural Information Processing Systems, 2018 | 146 | 2018 |
| Probabilistic Bag-of-Hyperlinks Model for Entity Linking OE Ganea, M Ganea, A Lucchi, C Eickhoff, T Hofmann Full paper at WWW'16: International Conference on World Wide Web, 927-938, 2016 | 129 | 2016 |
| End-to-End Neural Entity Linking N Kolitsas*, OE Ganea*, T Hofmann Full paper at CoNLL'18: Conference on Computational Natural Language Learning, 2018 | 123 | 2018 |
| Hyperbolic Entailment Cones for Learning Hierarchical Embeddings OE Ganea, G Bécigneul, T Hofmann Full paper at ICML'18: International Conference on Machine Learning, 2018 | 109 | 2018 |
| Poincaré GloVe: Hyperbolic Word Embeddings A Tifrea*, G Bécigneul*, OE Ganea* Full paper at ICLR'19: International Conference on Learning Representations, 2019 | 105 | 2019 |
| Riemannian Adaptive Optimization Methods G Bécigneul, OE Ganea Full paper at ICLR'19: International Conference on Learning Representations, 2019 | 77 | 2019 |
| Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables T Haug, OE Ganea, P Grnarova ECIR'18: European Conference on Information Retrieval, 2018 | 30 | 2018 |
| Mixed-curvature Variational Autoencoders O Skopek, OE Ganea, G Bécigneul Full paper at ICLR'20: International Conference on Learning Representations, 2020 | 25 | 2020 |
| Web2Text: Deep Structured Boilerplate Removal T Vogels, OE Ganea, C Eickhoff Full paper at ECIR'18: European Conference on Information Retrieval, 2018 | 21 | 2018 |
| Constant Curvature Graph Convolutional Networks G Bachmann, G Bécigneul, OE Ganea Full paper at ICML'20: International Conference on Machine Learning, 2020 | 20 | 2020 |
| Learning and Evaluating Sparse Interpretable Sentence Embeddings V Trifonov, OE Ganea, A Potapenko, T Hofmann EMNLP'18 Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks …, 2018 | 9 | 2018 |
| Optimal Transport Graph Neural Networks G Bécigneul*, OE Ganea*, B Chen*, R Barzilay, T Jaakkola https://arxiv.org/pdf/2006.04804.pdf, 2020 | 8 | 2020 |
| Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities OE Ganea, S Gelly, G Bécigneul, A Severyn Full paper at ICML'19: International Conference on Machine Learning, 2019 | 8 | 2019 |
| Computationally Tractable Riemannian Manifolds for Graph Embeddings C Cruceru, G Bécigneul, OE Ganea Full paper at AAAI'21: Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 | 6 | 2021 |
| Hierarchical Image Classification using Entailment Cone Embeddings A Dhall, A Makarova, OE Ganea, D Pavllo, M Greeff, A Krause Intl. Workshop on Differential Geometry in Computer Vision and Machine …, 2020 | 5 | 2020 |
| Non-Euclidean Neural Representation Learning of Words, Entities and Hierarchies OE Ganea ETH Zurich, 2019 | 2 | 2019 |
| GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles OE Ganea*, L Pattanaik*, C Coley, R Barzilay, K Jensen, W Green, ... https://arxiv.org/abs/2106.07802, 2021 | | 2021 |
| Message Passing Networks for Molecules with Tetrahedral Chirality L Pattanaik, OE Ganea, I Coley, K Jensen, W Green, C Coley NeurIPS'20 Machine Learning for Molecules Workshop, 2020 | | 2020 |
Gary Bécigneul, PhDGematria Technologies, Cofounder & CEOVerified email at gematria.tech
