Simulating Execution Time of Tensor Programs using Graph Neural Networks. - Jakub M. Tomczak; Romain Lepert; Auke J. Wiggers (CoRR, 2019)

Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization. - Ioannis Gatopoulos; Romain Lepert; Auke J. Wiggers; Giovanni Mariani; Jakub M. Tomczak (CEC, 2020)

Machine Learning-Based Reverse Modeling Approach for Rapid Tool Shape Optimization in Die-Sinking Micro Electro Discharge Machining. - Anthony Surleraux; Romain Lepert; Jean-Philippe Pernot; Pierre Kerfriden; Samuel Bigot (J. Comput. Inf. Sci. Eng., 2020)

Bayesian Optimization for Macro Placement. - ChangYong Oh; Roberto Bondesan; Dana Kianfar; Rehan Ahmed; Rishubh Khurana; Payal Agarwal; Romain Lepert; Mysore Sriram; Max Welling (CoRR, 2022)

NeuroSteiner: A Graph Transformer for Wirelength Estimation. - Sahil Manchanda; Dana Kianfar; Markus Peschl; Romain Lepert; Michaël Defferrard (CoRR, 2024)

Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. - Andrii Skliar; Ties van Rozendaal; Romain Lepert; Todor Boinovski; Mart van Baalen; Markus Nagel; Paul N. Whatmough; Babak Ehteshami Bejnordi (Trans. Mach. Learn. Res., 2025)