James Lucas

According to our database1, James Lucas authored at least 13 papers between 2007 and 2020.

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Bibliography

2020
Theoretical bounds on estimation error for meta-learning.
CoRR, 2020

Regularized linear autoencoders recover the principal components, eventually.
CoRR, 2020

2019
Lookahead Optimizer: k steps forward, 1 step back.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sorting Out Lipschitz Function Approximation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding Posterior Collapse in Generative Latent Variable Models.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Aggregated Momentum: Stability Through Passive Damping.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts.
Qual. Reliab. Eng. Int., 2018

Aggregated Momentum: Stability Through Passive Damping.
CoRR, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.
Proceedings of the 35th International Conference on Machine Learning, 2018

2008
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors.
Proceedings of the Embedded Computer Systems: Architectures, 2008

2007
Measuring of exhaust gas emissions using absorption spectroscopy.
Int. J. Intell. Syst. Technol. Appl., 2007


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