# Publications

## Gradient Matching for Domain Generalisation

Published in arxiv, 2021

We propose an inter-domain gradient matching objective that targets domain generalization by maximising the inner product between gradients from different domains. We also derive a simpler first-order algorithm named Fish that approximates the computation of second-order derivative.

## Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models

Published in ICLR, 2021

We develop a novel contrastive framework for multimodal generative model learning, allowing us to train the model not just by the commonality between modalities, but by the distinction between ‘relatedand 'unrelated multimodal data.

## Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

Published in Neurips, 2019

We propose a mixture-of-experts multimodal variational autoencoder (MMVAE) for learning of generative models on modality pairs, including image-image and language-vision dataset.

## Action Anticipation with RBF Kernelized Feature Mapping RNN

Published in ECCV, 2018

In this paper, we introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN.