| Neural symbolic regression that scales L Biggio*, T Bendinelli*, A Neitz, A Lucchi, G Parascandolo International Conference on Machine Learning, 936-945, 2021 | 147 | 2021 |
| Ageing-aware battery discharge prediction with deep learning L Biggio, T Bendinelli, C Kulkarni, O Fink Applied Energy 346, 121229, 2023 | 25* | 2023 |
| A seq2seq approach to symbolic regression L Biggio, T Bendinelli, A Lucchi, G Parascandolo Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 17 | 2020 |
| Controllable Neural Symbolic Regression T Bendinelli*, L Biggio*, PA Kamienny International Conference on Machine Learning (ICML), 2023 | 7 | 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, ... 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 1-8, 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 |
| Evaluating Self-Supervised Foundation Models in Holographic Imaging S Dietler, Y Zeder, E Graf, K Koch, A Schwendimann, T Bendinelli ICML 2024 Workshop on Foundation Models in the Wild, 2024 | | 2024 |
| Computer-implemented method, system and computer program for thermal analysis of a sample of a substance U Wüst, U Jörimann, M Höchemer, T Schöpe, I Kastanis, T Bendinelli, ... EP Patent EP4209781A1, 2023 | | 2023 |
Luca BiggioResearch fellow, EPFLVerified email at epfl.ch
Luca BiggioResearch fellow, EPFLVerified email at epfl.ch