Martin Magris - RankMe

18 papers Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quasi black-box variational inference for Bayesian learning. Pattern Recognit. Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2025	J	`jnl`	Efficient Training of Probabilistic Neural Networks for Survival Analysis. IEEE J. Biomed. Health Informatics Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
2024	J	`jnl`	Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Comput. Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2024	J	`jnl`	Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks. CoRR Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
2023	J	`jnl`	Bayesian learning for neural networks: an algorithmic survey. Artif. Intell. Rev. Martin Magris, Alexandros Iosifidis
2023	J	`jnl`	Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen, Alexandros Iosifidis
2023	—	`conf`	Uncertainty Estimation in Deep Bayesian Survival Models. BHI Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
2023	—	`conf`	Variational Inference for GARCH-family Models. ICAIF Martin Magris, Alexandros Iosifidis
2023	J	`jnl`	Variational Inference for GARCH-family Models. CoRR Martin Magris, Alexandros Iosifidis
2022	J	`jnl`	Bayesian Learning for Neural Networks: an algorithmic survey. CoRR Martin Magris, Alexandros Iosifidis
2022	J	`jnl`	Exact Manifold Gaussian Variational Bayes. CoRR Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2022	—	`conf`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2017	J	`jnl`	Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. CoRR Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Long-range auto-correlations in limit order book markets: Inter-and cross-event analysis. SSCI Martin Magris, Jiyeong Kim, Esa Räsänen, Juho Kanniainen
2017	J	`jnl`	Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Tensor representation in high-frequency financial data for price change prediction. SSCI Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis