| 2024 | AISTATS | Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. | Kais Hariz, Hachem Kadri, Stphane Ayache, Maher Moakher, Thierry Artires |
| 2024 | ICML | Position: C∗-Algebraic Machine Learning - Moving in a New Direction. | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
| 2024 | IJCNN | Measuring hallucination in disentangled representations. | Hamed Benazha, Stphane Ayache, Hachem Kadri, Thierry Artires |
| 2023 | AISTATS | Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
| 2022 | ICASSP | Scalable Ridge Leverage Score Sampling for the Nystrm Method. | Farah Cherfaoui, Hachem Kadri, Liva Ralaivola |
| 2022 | ICML | Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. | Kais Hariz, Hachem Kadri, Stphane Ayache, Maher Moakher, Thierry Artires |
| 2022 | UAI | Quantum perceptron revisited: Computational-statistical tradeoffs. | Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri |
| 2021 | IJCNN | PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. | Luc Giffon, Stphane Ayache, Hachem Kadri, Thierry Artires, Ronan Sicre |
| 2021 | IJCNN | Implicit Regularization in Deep Tensor Factorization. | Paolo Milanesi, Hachem Kadri, Stphane Ayache, Thierry Artires |
| 2020 | ICML | Partial Trace Regression and Low-Rank Kraus Decomposition. | Hachem Kadri, Stphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola |
| 2020 | IJCNN | Mapping individual differences in cortical architecture using multi-view representation learning. | Akrem Sellami, Franois-Xavier Dup, Bastien Cagna, Hachem Kadri, Stphane Ayache, Thierry Artires, Sylvain Takerkart |
| 2019 | IJCAI | Entangled Kernels. | Riikka Huusari, Hachem Kadri |
| 2019 | IJCNN | Deep Networks with Adaptive Nystrm Approximation. | Luc Giffon, Stphane Ayache, Thierry Artires, Hachem Kadri |
| 2018 | AISTATS | Multi-view Metric Learning in Vector-valued Kernel Spaces. | Riikka Huusari, Hachem Kadri, Ccile Capponi |
| 2017 | IJCNN | m-Power regularized least squares regression. | Julien Audiffren, Hachem Kadri |
| 2015 | ESANN | Online Learning with Operator-valued Kernels. | Julien Audiffren, Hachem Kadri |
| 2013 | ACML | Stability of Multi-Task Kernel Regression Algorithms. | Julien Audiffren, Hachem Kadri |
| 2013 | ACML | The Multi-Task Learning View of Multimodal Data. | Hachem Kadri, Stphane Ayache, Ccile Capponi, Sokol Koo, Franois-Xavier Dup, Emilie Morvant |
| 2013 | ICML | A Generalized Kernel Approach to Structured Output Learning. | Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux |
| 2012 | ICASSP | Nonparametric Bayesian supervised classification of functional data. | Asma Rabaoui, Hachem Kadri, Manuel Davy |
| 2011 | ICASSP | Learning vocal tract variables with multi-task kernels. | Hachem Kadri, Emmanuel Duflos, Philippe Preux |
| 2011 | ICML | Functional Regularized Least Squares Classication with Operator-valued Kernels. | Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy |