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2020 – today
- 2025
[j5]Daesoo Lee
, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge:
Latent diffusion model for conditional reservoir facies generation. Comput. Geosci. 194: 105750 (2025)- [i11]Daesoo Lee, Sara Malacarne, Erlend Aune:
Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping. CoRR abs/2501.17553 (2025) - 2024
- [j4]Daesoo Lee, Sara Malacarne, Erlend Aune:
Explainable time series anomaly detection using masked latent generative modeling. Pattern Recognit. 156: 110826 (2024) - [i10]Johan Vik Mathisen, Erlend Lokna, Daesoo Lee, Erlend Aune:
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation. CoRR abs/2408.16613 (2024) - 2023
- [j3]Espen Haugsdal, Erlend Aune, Massimiliano Ruocco:
Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Appl. Intell. 53(22): 26781-26796 (2023) - [c2]Daesoo Lee, Sara Malacarne, Erlend Aune:
Vector Quantized Time Series Generation with a Bidirectional Prior Model. AISTATS 2023: 7665-7693 - [i9]Daesoo Lee, Sara Malacarne, Erlend Aune:
Vector Quantized Time Series Generation with a Bidirectional Prior Model. CoRR abs/2303.04743 (2023) - [i8]Daesoo Lee, Erlend Aune, Sara Malacarne:
Masked Generative Modeling with Enhanced Sampling Scheme. CoRR abs/2309.07945 (2023) - [i7]Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge:
Latent Diffusion Model for Conditional Reservoir Facies Generation. CoRR abs/2311.01968 (2023) - [i6]Daesoo Lee, Sara Malacarne, Erlend Aune:
Explainable Anomaly Detection using Masked Latent Generative Modeling. CoRR abs/2311.12550 (2023) - 2022
- [i5]Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik:
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. CoRR abs/2204.02697 (2022) - [i4]Espen Haugsdal, Erlend Aune, Massimiliano Ruocco:
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting. CoRR abs/2208.14236 (2022) - 2021
- [e2]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:
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. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]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:
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. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i3]Daesoo Lee, Erlend Aune:
VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. CoRR abs/2109.00783 (2021)
2010 – 2019
- 2019
- [c1]Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. WSDM 2019: 591-599 - [i2]Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Augmented Memory Networks for Streaming-Based Active One-Shot Learning. CoRR abs/1909.01757 (2019) - 2018
- [i1]Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. CoRR abs/1812.01276 (2018) - 2014
- [j2]Erlend Aune, Daniel P. Simpson, Jo Eidsvik:
Parameter estimation in high dimensional Gaussian distributions. Stat. Comput. 24(2): 247-263 (2014) - 2013
- [j1]Erlend Aune, Jo Eidsvik, Yvo Pokern:
Iterative numerical methods for sampling from high dimensional Gaussian distributions. Stat. Comput. 23(4): 501-521 (2013)
Coauthor Index
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last updated on 2025-03-04 22:09 CET by the dblp team
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