| An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Y Gan, Y Zhang, D Cheng, A Shetty, P Rathi, N Katarki, A Bruno, J Hu, ... Proceedings of the twenty-fourth international conference on architectural …, 2019 | 1002 | 2019 |
| Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M Espinosa Zarlenga, P Barbiero, G Ciravegna, G Marra, F Giannini, ... Advances in Neural Information Processing Systems, 2022 | 274 | 2022 |
| Interpretable Neural-Symbolic Concept Reasoning P Barbiero, G Ciravegna, F Giannini, M Espinosa Zarlenga, LC Magister, ... ICML 2023, 2023 | 92* | 2023 |
| Human Uncertainty in Concept-Based AI Systems KM Collins, M Barker, M Espinosa Zarlenga, N Raman, U Bhatt, M Jamnik, ... AIES, 2023 | 58 | 2023 |
| Efficient Decompositional Rule Extraction for Deep Neural Networks M Espinosa Zarlenga, Z Shams, M Jamnik NeurIPS 2021 Workshop on eXplainable AI approaches for debugging and …, 2021 | 45* | 2021 |
| Learning to Receive Help: Intervention-Aware Concept Embedding Models M Espinosa Zarlenga, KM Collins, K Dvijotham, A Weller, Z Shams, ... Advances in Neural Information Processing Systems, 2023 | 41 | 2023 |
| Towards Robust Metrics for Concept Representation Evaluation M Espinosa Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, A Weller, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11791 …, 2023 | 39* | 2023 |
| Hivemind: A scalable and serverless coordination control platform for uav swarms J Hu, A Bruno, B Ritchken, B Jackson, M Espinosa, A Shah, C Delimitrou arXiv preprint arXiv:2002.01419, 2020 | 27 | 2020 |
| To centralize or not to centralize: A tale of swarm coordination J Hu, A Bruno, D Zagieboylo, M Zhao, B Ritchken, B Jackson, JY Chae, ... arXiv preprint arXiv:1805.01786, 2018 | 26 | 2018 |
| Do Concept Bottleneck Models Obey Locality? N Raman, M Espinosa Zarlenga, J Heo, M Jamnik XAI in Action: Past, Present, and Future Applications, NeurIPS 2023, 2023 | 23 | 2023 |
| TabCBM: Concept-based Interpretable Neural Networks for Tabular Data M Espinosa Zarlenga, Z Shams, ME Nelson, B Kim, M Jamnik Transactions on Machine Learning Research, 2023 | 23* | 2023 |
| Unveiling the hardware and software implications of microservices in cloud and edge systems Y Gan, Y Zhang, D Cheng, A Shetty, P Rathi, N Katarki, A Bruno, J Hu, ... IEEE Micro 40 (3), 10-19, 2020 | 22 | 2020 |
| Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning G Dominici, P Barbiero, M Espinosa Zarlenga, A Termine, M Gjoreski, ... ICLR 2025, 2024 | 20* | 2024 |
| Understanding Inter-Concept Relationships in Concept-Based Models N Raman, M Espinosa Zarlenga, M Jamnik ICML 2024, 2024 | 9 | 2024 |
| Efficient Bias Mitigation Without Privileged Information M Espinosa Zarlenga, S Sankaranarayanan, JTA Andrews, Z Shams, ... ECCV 2024, 2024 | 7* | 2024 |
| An open-source benchmark suite for cloud and iot microservices Y Gan, Y Zhang, D Cheng, A Shetty, P Rathi, N Katarki, A Bruno, J Hu, ... arXiv preprint arXiv:1905.11055, 2019 | 6 | 2019 |
| Neural Interpretable Reasoning P Barbiero, G Marra, G Ciravegna, D Debot, F De Santis, M Diligenti, ... arXiv preprint arXiv:2502.11639, 2025 | 3 | 2025 |
| Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M Espinosa Zarlenga, G Dominici, P Barbiero, Z Shams, M Jamnik ICML 2025, 2025 | 2* | 2025 |
| Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts A Pugnana, R Massidda, F Giannini, P Barbiero, M Espinosa Zarlenga, ... arXiv preprint arXiv:2503.16199, 2025 | 2 | 2025 |
| Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization E Penaloza, TH Zhan, L Charlin, M Espinosa Zarlenga ICML 2025, 2025 | 1 | 2025 |
Mateja JamnikProfessor of Artificial Intelligence, University of CambridgeVerified email at cam.ac.uk
