@inproceedings{zaranis2025mf2, title={Movie Facts and Fibs (MF²): A Benchmark for Long Movie Understanding}, author={Emmanouil Zaranis;, António Farinhas, Saul Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, and André F. T. Martins.}, booktitle={arxiv preprint arXiv:2506.06275}, year={2025}, url={https://arxiv.org/abs/2506.06275} }

@inproceedings{ santos2025modern, title={Modern Hopfield Networks with Continuous-Time Memories}, author={Saul Santos and Ant{\'o}nio Farinhas and Daniel C McNamee and Andre Martins}, booktitle={New Frontiers in Associative Memories}, year={2025}, url={https://openreview.net/forum?id=bU4dyLTNp3} }

@article{santos2025inftyvideotrainingfreeapproachlong, title={$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation}, author={Saul Santos and António Farinhas and Daniel C. McNamee and André F. T. Martins}, year={2025}, journal={arXiv preprint arXiv:2501.19098}, eprint={2501.19098}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2501.19098}, }

@inproceedings{santos2024sparse, title={Hopfield-Fenchel-Young Networks: A Unified Framework For Associative Memory Retrieval}, author={Saul Santos and Vlad Niculae and Daniel C McNamee and Andre Martins}, booktitle={arxiv preprint}, year={2024}, url={https://arxiv.org/pdf/2411.08590?} }

@inproceedings{santos2024sparse, title={Sparse and Structured Hopfield Networks}, author={Saul Santos and Vlad Niculae and Daniel C McNamee and Andre Martins}, booktitle={41st International Conference on Machine Learning}, year={2024}, url={https://openreview.net/forum?id=OdPlFWExX1} }

@inproceedings{santos2022symplectic, title={Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a Prior in Deep Learning}, author={Santos, S. and Ekal, M. and Ventura, R.}, booktitle={Learning for Dynamics and Control Conference}, pages={584--595}, year={2022} }