Neuronal Spike Train Entropy Estimation by History Clustering. - Nicholas Watters; George N. Reeke (Neural Comput., 2014)

Visual Interaction Networks: Learning a Physics Simulator from Video. - Nicholas Watters; Daniel Zoran; Theophane Weber; Peter W. Battaglia; Razvan Pascanu; Andrea Tacchetti (NIPS, 2017)

Visual Interaction Networks. - Nicholas Watters; Andrea Tacchetti; Theophane Weber; Razvan Pascanu; Peter W. Battaglia; Daniel Zoran (CoRR, 2017)

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. - Alessandro Achille; Tom Eccles; Loïc Matthey; Christopher P. Burgess; Nicholas Watters; Alexander Lerchner; Irina Higgins (NeurIPS, 2018)

Understanding disentangling in β-VAE. - Christopher P. Burgess; Irina Higgins; Arka Pal; Loïc Matthey; Nick Watters; Guillaume Desjardins; Alexander Lerchner (CoRR, 2018)

Multi-Object Representation Learning with Iterative Variational Inference. - Klaus Greff; Raphaël Lopez Kaufman; Rishabh Kabra; Nick Watters; Chris Burgess 001; Daniel Zoran; Loic Matthey; Matthew M. Botvinick; Alexander Lerchner (ICML, 2019)

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs. - Nicholas Watters; Loïc Matthey; Christopher P. Burgess; Alexander Lerchner (CoRR, 2019)

MONet: Unsupervised Scene Decomposition and Representation. - Christopher P. Burgess; Loïc Matthey; Nicholas Watters; Rishabh Kabra; Irina Higgins; Matthew M. Botvinick; Alexander Lerchner (CoRR, 2019)

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration. - Nicholas Watters; Loic Matthey; Matko Bosnjak; Christopher P. Burgess; Alexander Lerchner (CoRR, 2019)

A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning. - Sunny Duan; Nicholas Watters; Loic Matthey; Chris Burgess 001; Alexander Lerchner; Irina Higgins (CoRR, 2019)

Unsupervised Model Selection for Variational Disentangled Representation Learning. - Sunny Duan; Loic Matthey; Andre Saraiva 001; Nick Watters; Chris Burgess 001; Alexander Lerchner; Irina Higgins (ICLR, 2020)

Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience. - Nicholas Watters; Joshua B. Tenenbaum; Mehrdad Jazayeri (CoRR, 2021)

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task. - Jason Li; Nicholas Watters; Hansem Sohn; Mehrdad Jazayeri (Gaze Meets ML, 2022)

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task. - Jason Li; Nicholas Watters; Yingting Wang; Hansem Sohn; Mehrdad Jazayeri (CoRR, 2022)