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Structured Support Exploration For Multilayer Sparse Matrix Factorization IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Ontario, Canada, 2021 [PDF]

Fast learning of fast transforms, with guarantees IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore, 2022 [PDF]

Spurious Valleys, NP-hardness, and Tractability of Sparse Matrix Factorization With Fixed Support SIAM Journal on Matrix Analysis and Applications, 2022 [PDF]

Towards Better Bounds for Finding Quasi-Identifiers 2023 ACM SIGMOD/PODS @Seattle, WA, USA, 2022 [PDF]

Sparsity in neural networks can improve their privacy GRETSI, 2023 [PDF]

Does a sparse ReLU network training problem always admit an optimum ? Advances in Neural Information Processing Systems 2023, 2023 [PDF]

On the Asymptotic Nonnegative Rank of Matrices and its Applications in Information Theory International Symposium on Information Theory, 2024 [PDF]

Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication submitted, 2024 [PDF]

Geometric and computational hardness of bilevel programming submitted (revision in Mathematical Programming), 2024 [PDF]

Butterfly factorization with error guarantees submitted, 2024 [PDF]

Algorithmic and theoretical aspects of sparse deep neural networks Thesis, 2024 [PDF]

Bilevel gradient methods and Morse parametric qualification submitted, 2025 [PDF]

Rapture of the deep: highs and lows of sparsity in a world of depths submitted, 2025 [PDF]

Seminar Aric: Sparse Matrix Factorization with Fixed Support

Journee SMAI-MODE: NP-hardness, Tractability and Landscape of Fixed Support Matrix Factorization

Sparsity in Neural Network: From hardness to efficiency in sparse deep network training

SIAM Conference on Optimization (OP23)

Visit at UMONS (Belgium)

Competitive Programming Teaching Assistant
Period: January 2021 - May 2021, ENS de Lyon, Computer Science Department

Approximation and Optimization Teaching Assistant
Period: September 2020 - January 2021, ENS de Lyon, Computer Science Department

Competitive Programming Teaching Assistant
Period: January 2022 - May 2022, ENS de Lyon, Computer Science Department

Approximation and Optimization Teaching Assistant
Period: September 2021 - January 2022, ENS de Lyon, Computer Science Department

Competitive Programming Teaching Assistant
Period: January 2023 - May 2023, ENS de Lyon, Computer Science Department

Approximation and Optimization Teaching Assistant
Period: September 2022 - January 2023, ENS de Lyon, Computer Science Department

Optimisation Lecturer
Period: ??? ???? - ??? ????, Université Grenoble Alpes, UFR IM2AG

MAT 108 (Probabilités et Statistiques) Lecturer
Period: ??? ???? - ??? ????, Université Grenoble Alpes, UFR IM2AG

Introduction to Python Lecturer
Period: ??? ???? - ??? ????, Université Grenoble Alpes, UFR IM2AG