50 citations
- University College LondonGB2 papers
- American UniversityUS1 paper
- California Institute of Integral StudiesUS1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- GoodAI (Czechia)CZ1 paper
- Indian Institute of Technology IndoreIN1 paper
- Indian Institute of Technology PatnaIN1 paper
- Michigan Technological UniversityUS1 paper
- National and Kapodistrian University of AthensGR1 paper
- Novartis (China)CN1 paper
- Thompson Rivers UniversityCA1 paper
- Trinity College DublinIE1 paper
5 papers · 1 filter
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj, John Kelleher, Luca Costabello +1
Despite the widespread use of Knowledge Graph Embeddings (KGE), little is known about the security vulnerabilities that might disrupt their intended behaviour. We study data poison…
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Lisa Schut, Oscar Key, Rory McGrath +4
Counterfactual explanations (CEs) are a practical tool for demonstrating why machine learning classifiers make particular decisions. For CEs to be useful, it is important that they…
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study
Matteo Lionello, Hendrik Purwins
We present a preliminary study on an end-to-end variational autoencoder (VAE) for sound morphing. Two VAE variants are compared: VAE with dilation layers (DC-VAE) and VAE only with…
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq, Chuan Xu, Giovanni Neglia +1
Federated learning usually employs a client-server architecture where an orchestrator iteratively aggregates model updates from remote clients and pushes them back a refined model.…
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery
Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain +1
In order to design a more potent and effective chemical entity, it is essential to identify molecular structures with the desired chemical properties. Recent advances in generative…