Erlend Aune - RankMe

21 papers A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2025	J	`jnl`	Latent diffusion model for conditional reservoir facies generation. Comput. Geosci. Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2024	J	`jnl`	Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation. CoRR Johan Vik Mathisen, Erlend Lokna, Daesoo Lee, Erlend Aune
2024	J	`jnl`	Explainable time series anomaly detection using masked latent generative modeling. Pattern Recognit. Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Explainable Anomaly Detection using Masked Latent Generative Modeling. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Latent Diffusion Model for Conditional Reservoir Facies Generation. CoRR Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2023	J	`jnl`	Masked Generative Modeling with Enhanced Sampling Scheme. CoRR Daesoo Lee, Erlend Aune, Sara Malacarne
2023	J	`jnl`	Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Appl. Intell. Espen Haugsdal, Erlend Aune, Massimiliano Ruocco
2023	A	`conf`	Vector Quantized Time Series Generation with a Bidirectional Prior Model. AISTATS Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Vector Quantized Time Series Generation with a Bidirectional Prior Model. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2022	J	`jnl`	Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting. CoRR Espen Haugsdal, Erlend Aune, Massimiliano Ruocco
2022	J	`jnl`	VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. CoRR Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	J	`jnl`	VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. CoRR Daesoo Lee, Erlend Aune
2019	J	`jnl`	Augmented Memory Networks for Streaming-Based Active One-Shot Learning. CoRR Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2019	A	`conf`	Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. WSDM Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2018	J	`jnl`	Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. CoRR Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2014	J	`jnl`	Parameter estimation in high dimensional Gaussian distributions. Stat. Comput. Erlend Aune, Daniel P. Simpson, Jo Eidsvik
2013	J	`jnl`	Iterative numerical methods for sampling from high dimensional Gaussian distributions. Stat. Comput. Erlend Aune, Jo Eidsvik, Yvo Pokern
2012	—	`—`	Computation and modeling for high dimensional Gaussian distributions. Erlend Aune