Publications

(2021). Humanly Certifying Superhuman Classifiers. Preprint.

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(2021). TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. Preprint.

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(2020). Quantile Propagation for Wasserstein-Approximate Gaussian Processes. NeurIPS.

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(2020). All your loss are belong to Bayes. NeurIPS.

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(2020). Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. AAAI.

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(2019). Computer Assisted Composition in Continuous Time. Preprint.

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(2019). Monge blunts Bayes: Hardness results for adversarial training. ICML.

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(2019). Efficient non-parametric Bayesian Hawkes processes. IJCAI.

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(2019). SynthNet: Learning to Synthesize Music End-to-End.. IJCAI.

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(2019). New Tricks for Estimating Gradients of Expectations. Preprint.

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(2018). Rank k Cholesky Up / Down-dating on the GPU. Preprint.

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(2016). Chord2vec: Learning Musical Chord Embeddings. Constructive machine learning workshop at NIPS2016.

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(2009). Sparse Multiscale Gaussian Process Regression. ICML.

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(2009). Diffeomorphic Dimensionality Reduction. Preprint.

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(2009). Markerless 3d Face Tracking. Preprint.

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(2007). Learning with Transformation Invariant Kernels. NIPS.

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(2006). Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Eurographics.

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(2006). Implicit Surface Modelling as an Eigenvalue Problem. ICML.

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