Archivio Istituzionale della RicercaSfoglia per Serie ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
Mostrati risultati da 1 a 7 di 7
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
2022 Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M.
Cross-modal Learning for Image-Guided Point Cloud Shape Completion
2022 Aiello, E.; Valsesia, D.; Magli, E.
Large scale networks fingerprinting and visualization using the k-core decomposition
2005 Alvarez-Hamelin, J. I.; Dall'Asta, L.; Barrat, Alain; Vespignani, A.
On the Minimax Regret for Online Learning with Feedback Graphs
2023 Eldowa, Khaled; Esposito, Emmanuel; Cesari, Tom; Cesa-Bianchi, Nicolò
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
2023 Papicchio, S.; Papotti, P.; Cagliero, L.
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
2022 Montanaro, A.; Valsesia, D.; Magli, E.
Robust Implicit Networks via Non-Euclidean Contractions
2021 Jafarpour, S; Davydov, A; Proskurnikov, Av; Bullo, F
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off / Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M.. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans (USA) nel November 28th- December 9th, 2022). | 1-gen-2022 | Ciravegna G. + | NeurIPS-2022-concept-embedding-models-beyond-the-accuracy-explainability-trade-off-Paper-Conference (1).pdf |
| Cross-modal Learning for Image-Guided Point Cloud Shape Completion / Aiello, E.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). | 1-gen-2022 | Aiello E.Valsesia D.Magli E. | aiello_neurips22.pdf |
| Large scale networks fingerprinting and visualization using the k-core decomposition / Alvarez-Hamelin, J. I.; Dall'Asta, L.; Barrat, Alain; Vespignani, A.. - ELETTRONICO. - 18:(2005), pp. 41-50. (Intervento presentato al convegno 2005 Annual Conference on Neural Information Processing Systems, NIPS 2005 tenutosi a Vancouver, BC, can nel 2005). | 1-gen-2005 | Dall'Asta L.BARRAT, ALAIN + | 2789-large-scale-networks-fingerprinting-and-visualization-using-the-k-core-decomposition.pdf |
| On the Minimax Regret for Online Learning with Feedback Graphs / Eldowa, Khaled; Esposito, Emmanuel; Cesari, Tom; Cesa-Bianchi, Nicolò. - 36:(2023), pp. 46122-46133. (Intervento presentato al convegno NeurIPS 2023, the Thirty-seventh Annual Conference on Neural Information Processing Systems tenutosi a New Orleans (USA) nel Dec 10 through Dec 16, 2023). | 1-gen-2023 | Eldowa, Khaled + | NeurIPS-2023-on-the-minimax-regret-for-online-learning-with-feedback-graphs-Supplemental-Conference.pdf |
| QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data / Papicchio, S.; Papotti, P.; Cagliero, L.. - 36:(2023). (Intervento presentato al convegno 37th Conference on Neural Information Processing Systems, NeurIPS 2023 tenutosi a New Orleans, LA (USA) nel 2023). | 1-gen-2023 | Papicchio S.Cagliero L. + | NeurIPS-2023-qatch-benchmarking-sql-centric-tasks-with-table-representation-learning-models-on-your-data-Paper-Datasets_and_Benchmarks.pdf |
| Rethinking the compositionality of point clouds through regularization in the hyperbolic space / Montanaro, A.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). | 1-gen-2022 | Montanaro A.Valsesia D.Magli E. | montanaro_neurips22.pdf |
| Robust Implicit Networks via Non-Euclidean Contractions / Jafarpour, S; Davydov, A; Proskurnikov, Av; Bullo, F. - ELETTRONICO. - 34:(2021). (Intervento presentato al convegno NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS) 2021 tenutosi a Virtuale nel Dicembre 6-14, 2021). | 1-gen-2021 | Proskurnikov, AV + | NeurIPS-2021-robust-implicit-networks-via-non-euclidean-contractions-Paper.pdf |
Mostrati risultati da 1 a 7 di 7
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