| Neural symbolic regression that scales L Biggio*, T Bendinelli*, A Neitz, A Lucchi, G Parascandolo International Conference on Machine Learning, 936-945, 2021 | 124 | 2021 |
| Ageing-aware battery discharge prediction with deep learning L Biggio, T Bendinelli, C Kulkarni, O Fink Applied Energy 346, 121229, 2023 | 20* | 2023 |
| A seq2seq approach to symbolic regression L Biggio, T Bendinelli, A Lucchi, G Parascandolo Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 14 | 2020 |
| Controllable Neural Symbolic Regression T Bendinelli*, L Biggio*, PA Kamienny International Conference on Machine Learning (ICML), 2023 | 5* | 2023 |
| Optimizing Iot-Based Asset and Utilization Tracking: Efficient Activity Classification With Minirocket on Resource-Constrained Devices M Giordano, S Cortesi, M Crabolu, L Pedrollo, G Bellusci, T Bendinelli, ... arXiv preprint arXiv:2310.14758, 2023 | 1 | 2023 |
| Gemtelligence: Accelerating Gemstone classification with Deep Learning T Bendinelli, L Biggio, D Nyfeler, A Ghosh, P Tollan, MA Kirschmann, ... arXiv preprint arXiv:2306.06069, 2023 | 1 | 2023 |
Luca BiggioResearch fellow, EPFLZweryfikowany adres z epfl.ch
