Specification and Validation of a Real-Time Simple Parallel Kernel for Dependable Distributed Systems. - Octavian Ganea; Florin Pop; Ciprian Dobre; Valentin Cristea (EIDWT, 2012)

Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. - Octavian-Eugen Ganea; Marina Ganea; Aurélien Lucchi; Carsten Eickhoff; Thomas Hofmann 001 (WWW, 2016)

Deep Joint Entity Disambiguation with Local Neural Attention. - Octavian-Eugen Ganea; Thomas Hofmann 001 (EMNLP, 2017)

End-to-End Neural Entity Linking. - Nikolaos Kolitsas; Octavian-Eugen Ganea; Thomas Hofmann 001 (CoNLL, 2018)

Neural Multi-step Reasoning for Question Answering on Semi-structured Tables. - Till Haug; Octavian-Eugen Ganea; Paulina Grnarova (ECIR, 2018)

Web2Text: Deep Structured Boilerplate Removal. - Thijs Vogels; Octavian-Eugen Ganea; Carsten Eickhoff (ECIR, 2018)

Learning and Evaluating Sparse Interpretable Sentence Embeddings. - Valentin Trifonov; Octavian-Eugen Ganea; Anna Potapenko; Thomas Hofmann 001 (BlackboxNLP@EMNLP, 2018)

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings. - Octavian-Eugen Ganea; Gary Bécigneul; Thomas Hofmann 001 (ICML, 2018)

Hyperbolic Neural Networks. - Octavian-Eugen Ganea; Gary Bécigneul; Thomas Hofmann 001 (NeurIPS, 2018)

Riemannian Adaptive Optimization Methods. - Gary Bécigneul; Octavian-Eugen Ganea (ICLR (Poster), 2019)

Poincare Glove: Hyperbolic Word Embeddings. - Alexandru Tifrea; Gary Bécigneul; Octavian-Eugen Ganea (ICLR (Poster), 2019)

Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. - Octavian Ganea; Sylvain Gelly; Gary Bécigneul; Aliaksei Severyn (ICML, 2019)

Non-Euclidean Neural Representation Learning of Words, Entities and Hierarchies. - Octavian-Eugen Ganea (2019)

Hierarchical Image Classification using Entailment Cone Embeddings. - Ankit Dhall; Anastasia Makarova; Octavian Ganea; Dario Pavllo; Michael Greeff; Andreas Krause 001 (CVPR Workshops, 2020)

Mixed-curvature Variational Autoencoders. - Ondrej Skopek; Octavian-Eugen Ganea; Gary Bécigneul (ICLR, 2020)

Constant Curvature Graph Convolutional Networks. - Gregor Bachmann; Gary Bécigneul; Octavian Ganea (ICML, 2020)

Optimal Transport Graph Neural Networks. - Gary Bécigneul; Octavian-Eugen Ganea; Benson Chen; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2020)

Message Passing Networks for Molecules with Tetrahedral Chirality. - Lagnajit Pattanaik; Octavian-Eugen Ganea; Ian Coley; Klavs F. Jensen; William H. Green Jr.; Connor W. Coley (CoRR, 2020)

Computationally Tractable Riemannian Manifolds for Graph Embeddings. - Calin Cruceru; Gary Bécigneul; Octavian-Eugen Ganea (AAAI, 2021)

GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles. - Octavian Ganea; Lagnajit Pattanaik; Connor W. Coley; Regina Barzilay; Klavs F. Jensen; William H. Green Jr.; Tommi S. Jaakkola (NeurIPS, 2021)

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. - Octavian-Eugen Ganea; Xinyuan Huang; Charlotte Bunne; Yatao Bian; Regina Barzilay; Tommi S. Jaakkola; Andreas Krause 001 (ICLR, 2022)

Crystal Diffusion Variational Autoencoder for Periodic Material Generation. - Tian Xie 002; Xiang Fu 005; Octavian-Eugen Ganea; Regina Barzilay; Tommi S. Jaakkola (ICLR, 2022)

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction. - Hannes Stärk; Octavian Ganea; Lagnajit Pattanaik; Regina Barzilay; Tommi S. Jaakkola (ICML, 2022)

Explicit Word Density Estimation for Language Modelling. - Jovan Andonov; Octavian Ganea; Paulina Grnarova; Gary Bécigneul; Thomas Hofmann 001 (CoRR, 2024)