Laurent Callot

According to our database, Laurent Callot authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series.

Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan

CoRR, 2024

2023

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.

Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski

ACM Comput. Surv., 2023

Unsupervised Model Selection for Time Series Anomaly Detection.

Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Criteria for Classifying Forecasting Methods.

Tim Januschowski, Jan Gasthaus, Yuyang Wang, David Salinas, Valentin Flunkert, Michael Bohlke-Schneider, Laurent Callot

CoRR, 2022

SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data.

Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

CoRR, 2022

Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series.

Mostafa Rahmani, Anoop Deoras, Laurent Callot

CoRR, 2022

Online Time Series Anomaly Detection with State Space Gaussian Processes.

Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot

CoRR, 2022

Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies.

Lenon Minorics, Ali Caner Türkmen, David Kernert, Patrick Blöbaum, Laurent Callot, Dominik Janzing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection.

Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series.

Elena Ehrlich, Laurent Callot, François-Xavier Aubet

CoRR, 2021

Online false discovery rate control for anomaly detection in time series.

Quentin Rebjock, Baris Kurt, Tim Januschowski, Laurent Callot

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improve black-box sequential anomaly detector relevancy with limited user feedback.

Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot

CoRR, 2020

Neural forecasting: Introduction and literature overview.

Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski

CoRR, 2020

A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications.

Quentin Rebjock, Valentin Flunkert, Tim Januschowski, Laurent Callot, Joel Castellon

Proceedings of the AIDB@VLDB 2020, 2020

2019

High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes.

David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019