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11/13/2022
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
Reinforcement learning has seen increasing applications in real-world co...
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11/09/2022
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
We introduce a challenging decision-making task that we call active acqu...
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02/15/2022
General-purpose, long-context autoregressive modeling with Perceiver AR
Real-world data is high-dimensional: a book, image, or musical performan...
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11/07/2021
Structure-aware generation of drug-like molecules
Structure-based drug design involves finding ligand molecules that exhib...
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09/29/2020
Message Passing Neural Processes
Neural Processes (NPs) are powerful and flexible models able to incorpor...
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07/11/2020
Generative Graph Perturbations for Scene Graph Prediction
Inferring objects and their relationships from an image is useful in man...
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07/06/2020
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
We present Wiki-CS, a novel dataset derived from Wikipedia for benchmark...
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06/09/2020
Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and SnapshotTime Series Data
Dynamic Distribution Decomposition (DDD) was introduced in Taylor-King e...
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06/09/2020
Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data
Dynamic Distribution Decomposition (DDD) was introduced in Taylor-King e...
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05/17/2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
Scene graph generation (SGG) aims to predict graph-structured descriptio...
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02/10/2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Recent advancements in graph representation learning have led to the eme...
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12/12/2019
The PlayStation Reinforcement Learning Environment (PSXLE)
We propose a new benchmark environment for evaluating Reinforcement Lear...
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08/14/2019
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Embodied Question Answering (EQA) is a recently proposed task, where an ...
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04/12/2019
Spatio-Temporal Deep Graph Infomax
Spatio-temporal graphs such as traffic networks or gene regulatory syste...
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11/21/2018
Structure-Based Networks for Drug Validation
Classifying chemicals according to putative modes of action (MOAs) is of...
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11/03/2018
Towards Sparse Hierarchical Graph Classifiers
Recent advances in representation learning on graphs, mainly leveraging ...
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09/02/2017