31 citations · 60 across the 8 of their papers we have counts for
9 papers
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
Carlos Purves, Pietro Liò, Cătălina Cangea
Reinforcement learning has seen increasing applications in real-world contexts over the past few years. However, physical environments are often imperfect and policies that perform…
Structure-aware generation of drug-like molecules
Pavol Drotár, Arian Rokkum Jamasb, Ben Day +2
Structure-based drug design involves finding ligand molecules that exhibit structural and chemical complementarity to protein pockets. Deep generative methods have shown promise in…
Message Passing Neural Processes
Ben Day, Cătălina Cangea, Arian R. Jamasb +1
Neural Processes (NPs) are powerful and flexible models able to incorporate uncertainty when representing stochastic processes, while maintaining a linear time complexity. However,…
Uncertainty in Neural Relational Inference Trajectory Reconstruction
Vasileios Karavias, Ben Day, Pietro Liò
Neural networks used for multi-interaction trajectory reconstruction lack the ability to estimate the uncertainty in their outputs, which would be useful to better analyse and unde…
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Cătălina Cangea, Eugene Belilovsky, Pietro Liò +1
Embodied Question Answering (EQA) is a recently proposed task, where an agent is placed in a rich 3D environment and must act based solely on its egocentric input to answer a given…
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica, Ben Day, Pietro Liò
Graph classification receives a great deal of attention from the non-Euclidean machine learning community. Recent advances in graph coarsening have enabled the training of deeper n…
Clique pooling for graph classification
Enxhell Luzhnica, Ben Day, Pietro Lio'
We propose a novel graph pooling operation using cliques as the unit pool. As this approach is purely topological, rather than featural, it is more readily interpretable, a better…
Structure-Based Networks for Drug Validation
Cătălina Cangea, Arturas Grauslys, Pietro Liò +1
Classifying chemicals according to putative modes of action (MOAs) is of paramount importance in the context of risk assessment. However, current methods are only able to handle a…
Introducing Curvature to the Label Space
Conor Sheehan, Ben Day, Pietro Liò
One-hot encoding is a labelling system that embeds classes as standard basis vectors in a label space. Despite seeing near-universal use in supervised categorical classification ta…