Souhaib Ben Taieb

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Point Processes

Regularized Regression

Top Venues

Publications

Victor Dheur, Souhaib Ben Taieb
Probabilistic Calibration by Design for Neural Network Regression. AISTATS (2024)
Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. KDD (2024)
Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes. CoRR (2024)
Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
Anomaly detection with semi-supervised classification based on risk estimators. Trans. Mach. Learn. Res. 2024 (2024)
Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. CoRR (2024)
Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb
Distribution-free conformal joint prediction regions for neural marked temporal point processes. Mach. Learn. 113 (9) (2024)
Victor Dheur, Souhaib Ben Taieb
Probabilistic Calibration by Design for Neural Network Regression. CoRR (2024)
Tanguy Bosser, Souhaib Ben Taieb
Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. ESANN (2023)
Victor Dheur, Souhaib Ben Taieb
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. CoRR (2023)
Victor Dheur, Souhaib Ben Taieb
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. ICML (2023)
Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb
Anomaly detection in irregular image sequences for concentrated solar power plants. ESANN (2023)
Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
Anomaly detection with semi-supervised classification based on risk estimators. CoRR (2023)
Tanguy Bosser, Souhaib Ben Taieb
On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. CoRR (2023)
Tanguy Bosser, Souhaib Ben Taieb
On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. Trans. Mach. Learn. Res. 2023 (2023)
Souhaib Ben Taieb
Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines. AISTATS (2022)
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li
Forecasting: theory and practice. CoRR (2020)
Souhaib Ben Taieb, Bonsoo Koo
Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. KDD (2019)
Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman
Coherent Probabilistic Forecasts for Hierarchical Time Series. ICML (2017)
Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. AAAI (2017)
Souhaib Ben Taieb, Amir F. Atiya
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Souhaib Ben Taieb
Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series. NIPS Time Series Workshop (2016)
Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid 7 (5) (2016)
Ahmad H. Dehwah, Souhaib Ben Taieb, Jeff S. Shamma, Christian G. Claudel
Decentralized Energy and Power Estimation in Solar-Powered Wireless Sensor Networks. DCOSS (2015)
Souhaib Ben Taieb, Rob J. Hyndman
Boosting multi-step autoregressive forecasts. ICML (2014)
Liran Lerman, Gianluca Bontempi, Souhaib Ben Taieb, Olivier Markowitch
A Time Series Approach for Profiling Attack. SPACE (2013)
Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 39 (8) (2012)
Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne
Machine Learning Strategies for Time Series Forecasting. eBISS (2012)
Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR (2011)
Souhaib Ben Taieb, Gianluca Bontempi
Recursive Multi-step Time Series Forecasting by Perturbing Data. ICDM (2011)
Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi
Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing 73 (10-12) (2010)
Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse
Long-term prediction of time series by combining direct and MIMO strategies. IJCNN (2009)