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11/15/2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Protein complex formation is a central problem in biology, being involve...
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10/12/2021
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Generating the periodic structure of stable materials is a long-standing...
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06/08/2020
Optimal Transport Graph Neural Networks
Current graph neural network (GNN) architectures naively average or sum ...
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02/20/2020
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Representing graphs as sets of node embeddings in certain curved Riemann...
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11/19/2019
Mixed-curvature Variational Autoencoders
It has been shown that using geometric spaces with non-zero curvature in...
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11/12/2019
Constant Curvature Graph Convolutional Networks
Interest has been rising lately towards methods representing data in non...
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07/23/2019
Noise Contrastive Variational Autoencoders
We take steps towards understanding the "posterior collapse (PC)" diffic...
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02/21/2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
The softmax function on top of a final linear layer is the de facto meth...
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10/15/2018
Poincaré GloVe: Hyperbolic Word Embeddings
Words are not created equal. In fact, they form an aristocratic graph wi...
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10/01/2018
Riemannian Adaptive Optimization Methods
Several first order stochastic optimization methods commonly used in the...
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09/23/2018
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Previous research on word embeddings has shown that sparse representatio...
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08/23/2018
End-to-End Neural Entity Linking
Entity Linking (EL) is an essential task for semantic text understanding...
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05/23/2018
Hyperbolic Neural Networks
Hyperbolic spaces have recently gained momentum in the context of machin...
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04/03/2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Learning graph representations via low-dimensional embeddings that prese...
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01/08/2018
Web2Text: Deep Structured Boilerplate Removal
Web pages are a valuable source of information for many natural language...
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04/17/2017
Deep Joint Entity Disambiguation with Local Neural Attention
We propose a novel deep learning model for joint document-level entity d...
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02/21/2017
Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables
Advances in natural language processing tasks have gained momentum in re...
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09/08/2015