TONELLOTTO, NICOLA Statistiche
TONELLOTTO, NICOLA
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Getting off the DIME: Dimension Pruning via Dimension Importance Estimation for Dense Information Retrieval
2026-01-01 Faggioli, Guglielmo; Ferro, Nicola; Perego, Raffaele; Tonellotto, Nicola
Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers
2026-01-01 Datta, Suchana; Faggioli, Guglielmo; Ferro, Nicola; Ganguly, Debasis; Ioana Muntean, Cristina; Perego, Raffaele; Tonellotto, Nicola
When Reducing Representations Improves Performance
2026-01-01 Pasin, Andrea; Faggioli, Guglielmo; Ferro, Nicola; Perego, Raffaele; Tonellotto, Nicola
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
2025-01-01 Di Teodoro, G.; Siciliano, F.; Tonellotto, N.; Silvestri, F.
CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs
2025-01-01 Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N.
Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval
2025-01-01 D'Erasmo, G.; Trappolini, G.; Silvestri, F.; Tonellotto, N.
Efficient Constant-Space Multi-vector Retrieval
2025-01-01 Macavaney, S.; Mallia, A.; Tonellotto, N.
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
2025-01-01 Petrov, A. V.; Macdonald, C.; Tonellotto, N.
Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms
2025-01-01 Righetti, Francesca; Cornacchia, Biagio; Russo, Gabriele Russo; Tonellotto, Nicola; Cardellini, Valeria; Vallati, Carlo
Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers
2025-01-01 Pezzuti, F.; Macavaney, S.; Tonellotto, N.
Maybe You Are Looking for CroQS: Cross-Modal Query Suggestion for Text-to-Image Retrieval
2025-01-01 Pacini, G.; Carrara, F.; Messina, N.; Tonellotto, N.; Amato, G.; Falchi, F.
MURR: Model Updating with Regularized Replay for Searching a Document Stream
2025-01-01 Yang, E.; Tonellotto, N.; Lawrie, D.; Macavaney, S.; Mayfield, J.; Oard, D. W.; Miller, S.
Neural Prioritisation for Web Crawling
2025-01-01 Pezzuti, F.; Macavaney, S.; Tonellotto, N.
Query Performance Prediction Using Dimension Importance Estimators
2025-01-01 Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N.
The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms
2025-01-01 Vahabi, Shahrokh; Righetti, Francesca; Vallati, Carlo; Tonellotto, Nicola
A Reproducibility Study of PLAID
2024-01-01 Macavaney, S.; Tonellotto, N.
A Reproducible Analysis of Sequential Recommender Systems
2024-01-01 Betello, F.; Purificato, A.; Siciliano, F.; Trappolini, G.; Bacciu, A.; Tonellotto, N.; Silvestri, F.
Caching Historical Embeddings in Conversational Search
2024-01-01 Frieder, Ophir; Mele, Ida; Ioana Muntean, Cristina; Nardini, FRANCO MARIA; Perego, Raffaele; Tonellotto, Nicola
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts
2024-01-01 Kasela, P.; Pasi, G.; Perego, R.; Tonellotto, N.
Dimension Importance Estimation for Dense Information Retrieval
2024-01-01 Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Getting off the DIME: Dimension Pruning via Dimension Importance Estimation for Dense Information Retrieval | 1-gen-2026 | Faggioli, Guglielmo; Ferro, Nicola; Perego, Raffaele; Tonellotto, Nicola | |
| Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers | 1-gen-2026 | Datta, Suchana; Faggioli, Guglielmo; Ferro, Nicola; Ganguly, Debasis; Ioana Muntean, Cristina; Perego, Raffaele; Tonellotto, Nicola | |
| When Reducing Representations Improves Performance | 1-gen-2026 | Pasin, Andrea; Faggioli, Guglielmo; Ferro, Nicola; Perego, Raffaele; Tonellotto, Nicola | |
| A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling | 1-gen-2025 | Di Teodoro, G.; Siciliano, F.; Tonellotto, N.; Silvestri, F. | |
| CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs | 1-gen-2025 | Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N. | |
| Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval | 1-gen-2025 | D'Erasmo, G.; Trappolini, G.; Silvestri, F.; Tonellotto, N. | |
| Efficient Constant-Space Multi-vector Retrieval | 1-gen-2025 | Macavaney, S.; Mallia, A.; Tonellotto, N. | |
| Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings | 1-gen-2025 | Petrov, A. V.; Macdonald, C.; Tonellotto, N. | |
| Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms | 1-gen-2025 | Righetti, Francesca; Cornacchia, Biagio; Russo, Gabriele Russo; Tonellotto, Nicola; Cardellini, Valeria; Vallati, Carlo | |
| Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers | 1-gen-2025 | Pezzuti, F.; Macavaney, S.; Tonellotto, N. | |
| Maybe You Are Looking for CroQS: Cross-Modal Query Suggestion for Text-to-Image Retrieval | 1-gen-2025 | Pacini, G.; Carrara, F.; Messina, N.; Tonellotto, N.; Amato, G.; Falchi, F. | |
| MURR: Model Updating with Regularized Replay for Searching a Document Stream | 1-gen-2025 | Yang, E.; Tonellotto, N.; Lawrie, D.; Macavaney, S.; Mayfield, J.; Oard, D. W.; Miller, S. | |
| Neural Prioritisation for Web Crawling | 1-gen-2025 | Pezzuti, F.; Macavaney, S.; Tonellotto, N. | |
| Query Performance Prediction Using Dimension Importance Estimators | 1-gen-2025 | Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N. | |
| The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms | 1-gen-2025 | Vahabi, Shahrokh; Righetti, Francesca; Vallati, Carlo; Tonellotto, Nicola | |
| A Reproducibility Study of PLAID | 1-gen-2024 | Macavaney, S.; Tonellotto, N. | |
| A Reproducible Analysis of Sequential Recommender Systems | 1-gen-2024 | Betello, F.; Purificato, A.; Siciliano, F.; Trappolini, G.; Bacciu, A.; Tonellotto, N.; Silvestri, F. | |
| Caching Historical Embeddings in Conversational Search | 1-gen-2024 | Frieder, Ophir; Mele, Ida; Ioana Muntean, Cristina; Nardini, FRANCO MARIA; Perego, Raffaele; Tonellotto, Nicola | |
| DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts | 1-gen-2024 | Kasela, P.; Pasi, G.; Perego, R.; Tonellotto, N. | |
| Dimension Importance Estimation for Dense Information Retrieval | 1-gen-2024 | Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N. |