| Structure by architecture: Structured representations without regularization F Leeb, G Lanzillotta, Y Annadani, M Besserve, S Bauer, B Schölkopf The Eleventh International Conference on Learning Representations, 2023 | 9 | 2023 |
| EXPLAINTABLE: EXPLAINING LARGE SCALE MODELS APPLIED TO TABULAR DATA JS Baustiste, T Engelmann, NP Montemayor, L Hart, G Lanzillotta, ... ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning …, 2023 | 2 | 2023 |
| Local vs Global continual learning G Lanzillotta, SP Singh, BF Grewe, T Hofmann arXiv preprint arXiv:2407.16611, 2024 | 1 | 2024 |
| Testing knowledge distillation theories with dataset size G Lanzillotta, F Sarnthein, G Kur, T Hofmann, B He NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 2024 | | 2024 |
| Testing the limits of data efficiency in experience replay D Meier, G Lanzillotta, T Hofmann NeurIPS 2024 Workshop on Scalable Continual Learning for Lifelong Foundation …, 2024 | | 2024 |
| Exploring the Limits of Feature Learning in Continual Learning J Graldi, G Lanzillotta, L Noci, BF Grewe, T Hofmann NeurIPS 2024 Workshop on Scalable Continual Learning for Lifelong Foundation …, 2024 | | 2024 |
| Towards guarantees for parameter isolation in continual learning G Lanzillotta, SP Singh, BF Grewe, T Hofmann arXiv preprint arXiv:2310.01165, 2023 | | 2023 |
| Is multitask learning all you need in continual learning? G Lanzillotta, M Samiei, C Vernade, R Pascanu | | |
| On the interventional consistency of autoencoders G Lanzillotta, F Leeb, S Bauer, B Schölkopf | | |