Richard Kurle

According to our database1, Richard Kurle authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Variational Bayes for Continual Learning and Time-Series Forecasting.
PhD thesis, 2023

2022
Intrinsic Anomaly Detection for Multi-Variate Time Series.
CoRR, 2022

On the detrimental effect of invariances in the likelihood for variational inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Latent Matters: Learning Deep State-Space Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Explicit Duration Switching Models for Time Series.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Normalizing Kalman Filters for Multivariate Time Series Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continual Learning with Bayesian Neural Networks for Non-Stationary Data.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning Hierarchical Priors in VAEs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Source Neural Variational Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Metrics for Deep Generative Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018


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