Souhaib Ben Taieb

53 papers A* 10A 2B 4Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibrated Multivariate Distributional Regression with Pre-Rank Regularization. CoRR Aya Laajil, Elnura Zhalieva, Naomi Desobry, Souhaib Ben Taieb
2026	A*	`conf`	Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets. AAAI Nabil Alami, Jad Zakharia, Souhaib Ben Taieb
2025	J	`jnl`	A Gentle Introduction to Conformal Time Series Forecasting. CoRR M. Stocker, W. Malgorzewicz, Matteo Fontana, Souhaib Ben Taieb
2025	A*	`conf`	A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. ICML Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb
2025	J	`jnl`	A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. CoRR Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb
2025	J	`jnl`	An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination. CoRR Sukanya Patra, Souhaib Ben Taieb
2025	J	`jnl`	Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization. CoRR Naomi Desobry, Elnura Zhalieva, Souhaib Ben Taieb
2025	J	`jnl`	Large Language Models Are Human-Like Internally. CoRR Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, Kentaro Inui, Timothy Baldwin
2025	J	`jnl`	Large Language Models Are Human-Like Internally. Trans. Assoc. Comput. Linguistics Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, Kentaro Inui, Timothy Baldwin
2025	J	`jnl`	Multivariate Latent Recalibration for Conditional Normalizing Flows. CoRR Victor Dheur, Souhaib Ben Taieb
2025	J	`jnl`	Preventing Conflicting Gradients in Neural Marked Temporal Point Processes. Trans. Mach. Learn. Res. Tanguy Bosser, Souhaib Ben Taieb
2025	J	`jnl`	RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion. CoRR Thao Nguyen, Jiaqi Ma, Fahad Shahbaz Khan, Souhaib Ben Taieb, Salman H. Khan
2025	A*	`conf`	Rectifying Conformity Scores for Better Conditional Coverage. ICML Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2025	J	`jnl`	Rectifying Conformity Scores for Better Conditional Coverage. CoRR Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2025	—	`conf`	Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants. ECML/PKDD (10) Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb
2025	J	`jnl`	Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants. CoRR Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb
2025	J	`jnl`	Scores for Multivariate Distributions and Level Sets. Oper. Res. Xiaochun Meng, James W. Taylor, Souhaib Ben Taieb, Siran Li
2025	J	`jnl`	Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds. CoRR David Vallmanya Poch, Yorick Estievenart, Elnura Zhalieva, Sukanya Patra, Mohammad Yaqub, Souhaib Ben Taieb
2025	J	`jnl`	Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets. CoRR Nabil Alami, Jad Zakharia, Souhaib Ben Taieb
2024	J	`jnl`	Anomaly detection with semi-supervised classification based on risk estimators. Trans. Mach. Learn. Res. Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
2024	A*	`conf`	Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. KDD Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
2024	J	`jnl`	Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. CoRR Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
2024	J	`jnl`	Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes. CoRR Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb
2024	J	`jnl`	Distribution-free conformal joint prediction regions for neural marked temporal point processes. Mach. Learn. Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb
2024	J	`jnl`	Preventing Conflicting Gradients in Neural Marked Temporal Point Processes. CoRR Tanguy Bosser, Souhaib Ben Taieb
2024	A	`conf`	Probabilistic Calibration by Design for Neural Network Regression. AISTATS Victor Dheur, Souhaib Ben Taieb
2024	J	`jnl`	Probabilistic Calibration by Design for Neural Network Regression. CoRR Victor Dheur, Souhaib Ben Taieb
2024	J	`jnl`	Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection. CoRR Sukanya Patra, Souhaib Ben Taieb
2024	J	`jnl`	Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection. Trans. Mach. Learn. Res. Sukanya Patra, Souhaib Ben Taieb
2023	A*	`conf`	A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. ICML Victor Dheur, Souhaib Ben Taieb
2023	J	`jnl`	A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. CoRR Victor Dheur, Souhaib Ben Taieb
2023	B	`conf`	Anomaly detection in irregular image sequences for concentrated solar power plants. ESANN Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb
2023	J	`jnl`	Anomaly detection with semi-supervised classification based on risk estimators. CoRR Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
2023	J	`jnl`	On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. CoRR Tanguy Bosser, Souhaib Ben Taieb
2023	J	`jnl`	On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. Trans. Mach. Learn. Res. Tanguy Bosser, Souhaib Ben Taieb
2023	B	`conf`	Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. ESANN Tanguy Bosser, Souhaib Ben Taieb
2022	A	`conf`	Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines. AISTATS Souhaib Ben Taieb
2020	J	`jnl`	Forecasting: theory and practice. CoRR 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
2019	A*	`conf`	Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. KDD Souhaib Ben Taieb, Bonsoo Koo
2017	A*	`conf`	Coherent Probabilistic Forecasts for Hierarchical Time Series. ICML Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman
2017	A*	`conf`	Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. AAAI Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal
2016	J	`jnl`	A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Souhaib Ben Taieb, Amir F. Atiya
2016	J	`jnl`	Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton
2016	—	`conf`	Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series. NIPS Time Series Workshop Souhaib Ben Taieb
2015	B	`conf`	Decentralized Energy and Power Estimation in Solar-Powered Wireless Sensor Networks. DCOSS Ahmad H. Dehwah, Souhaib Ben Taieb, Jeff S. Shamma, Christian G. Claudel
2014	A*	`conf`	Boosting multi-step autoregressive forecasts. ICML Souhaib Ben Taieb, Rob J. Hyndman
2013	—	`conf`	A Time Series Approach for Profiling Attack. SPACE Liran Lerman, Gianluca Bontempi, Souhaib Ben Taieb, Olivier Markowitch
2012	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2012	—	`conf`	Machine Learning Strategies for Time Series Forecasting. eBISS Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne
2011	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2011	A*	`conf`	Recursive Multi-step Time Series Forecasting by Perturbing Data. ICDM Souhaib Ben Taieb, Gianluca Bontempi
2010	J	`jnl`	Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi
2009	B	`conf`	Long-term prediction of time series by combining direct and MIMO strategies. IJCNN Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse