| 2026 | AAAI | Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets. | Nabil Alami, Jad Zakharia, Souhaib Ben Taieb |
| 2025 | ICML | A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. | Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb |
| 2025 | ICML | Rectifying Conformity Scores for Better Conditional Coverage. | Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines |
| 2024 | AISTATS | Probabilistic Calibration by Design for Neural Network Regression. | Victor Dheur, Souhaib Ben Taieb |
| 2024 | KDD | Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. | Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb |
| 2023 | ESANN | Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. | Tanguy Bosser, Souhaib Ben Taieb |
| 2023 | ESANN | Anomaly detection in irregular image sequences for concentrated solar power plants. | Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb |
| 2023 | ICML | A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. | Victor Dheur, Souhaib Ben Taieb |
| 2022 | AISTATS | Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines. | Souhaib Ben Taieb |
| 2019 | KDD | Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. | Souhaib Ben Taieb, Bonsoo Koo |
| 2017 | AAAI | Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. | Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal |
| 2017 | ICML | Coherent Probabilistic Forecasts for Hierarchical Time Series. | Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman |
| 2015 | DCOSS | Decentralized Energy and Power Estimation in Solar-Powered Wireless Sensor Networks. | Ahmad H. Dehwah, Souhaib Ben Taieb, Jeff S. Shamma, Christian G. Claudel |
| 2014 | ICML | Boosting multi-step autoregressive forecasts. | Souhaib Ben Taieb, Rob J. Hyndman |
| 2011 | ICDM | Recursive Multi-step Time Series Forecasting by Perturbing Data. | Souhaib Ben Taieb, Gianluca Bontempi |
| 2009 | IJCNN | Long-term prediction of time series by combining direct and MIMO strategies. | Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse |