Martin Magris

Orcid: 0000-0002-4237-2457

According to our database1, Martin Magris authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

2024
Manifold Gaussian Variational Bayes on the Precision Matrix.
Neural Comput., 2024

Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks.
CoRR, 2024

2023
Bayesian learning for neural networks: an algorithmic survey.
Artif. Intell. Rev., October, 2023

Predicting the state of synchronization of financial time series using cross recurrence plots.
Neural Comput. Appl., September, 2023

Variational Inference for GARCH-family Models.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Uncertainty Estimation in Deep Bayesian Survival Models.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Exact Manifold Gaussian Variational Bayes.
CoRR, 2022

Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning.
CoRR, 2022

Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction.
Proceedings of the 30th European Signal Processing Conference, 2022

2017
Benchmark Dataset for Mid-Price Prediction of Limit Order Book data.
CoRR, 2017

Tensor representation in high-frequency financial data for price change prediction.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Long-range auto-correlations in limit order book markets: Inter-and cross-event analysis.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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