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Oscar Key

Scalable Data Assimilation with Message Passing

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Apr 19, 2024
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No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models

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Jul 26, 2023
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Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

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Jan 30, 2023
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Towards Healing the Blindness of Score Matching

Sep 15, 2022
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Composite Goodness-of-fit Tests with Kernels

Nov 19, 2021
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Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties

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Mar 16, 2021
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Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression

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Feb 22, 2021
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On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes

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Nov 01, 2020
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Interlocking Backpropagation: Improving depthwise model-parallelism

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Oct 08, 2020
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