Pretrained knowledge base embeddings for improved sentential relation extraction A Papaluca, D Krefl, H Suominen, A Lenskiy Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 10 | 2022 |
Zero-and few-shots knowledge graph triplet extraction with large language models A Papaluca, D Krefl, SM Rodriguez, A Lensky, H Suominen arXiv preprint arXiv:2312.01954, 2023 | 6 | 2023 |
Beyond full statevector simulation with qibo (2024) A Pasquale, A Papaluca, RMS Farias, M Robbiati, E Pedicillo, S Carrazza arXiv preprint arXiv:2408.00384, 0 | 6 | |
Real-time error mitigation for variational optimization on quantum hardware M Robbiati, A Sopena, A Papaluca, S Carrazza arXiv preprint arXiv:2311.05680, 2023 | 5 | 2023 |
Real-time error mitigation for variational optimization on quantum hardware (2023) M Robbiati, A Sopena, A Papaluca, S Carrazza URL https://arxiv. org/abs/2311.05680, 0 | 5 | |
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines S Carrazza, D Krefl, A Papaluca Journal of Physics: Conference Series 1525 (1), 012005, 2020 | 1 | 2020 |
Quantum noise modeling through Reinforcement Learning S Bordoni, A Papaluca, P Buttarini, A Sopena, S Giagu, S Carrazza arXiv preprint arXiv:2408.01506, 2024 | | 2024 |
Beyond full statevector simulation with Qibo A Pasquale, A Papaluca, R Farias, M Robbiati, E Pedicillo, S Carrazza arXiv preprint arXiv:2408.00384, 2024 | | 2024 |
Contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding A Papaluca, D Krefl, A Lensky, H Suominen International Conference on Pattern Recognition and Artificial Intelligence …, 2024 | | 2024 |
Quantum circuit noise simulation with reinforcement learning S Bordoni, A Papaluca, P Buttarini, A Sopena, S Carrazza, S Giagu CEUR WORKSHOP PROCEEDINGS 3586, 30-36, 2023 | | 2023 |
Infinity State Machine S Carrazza, D Krefl, A Papaluca | | |