| 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 | 690 | 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 | 117* | 2022 |
| Human Uncertainty in Concept-Based AI Systems KM Collins, M Barker, M Espinosa Zarlenga, N Raman, U Bhatt, M Jamnik, ... AIES, 2023 | 29 | 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 | 28* | 2021 |
| Interpretable Neural-Symbolic Concept Reasoning P Barbiero, G Ciravegna, F Giannini, M Espinosa Zarlenga, LC Magister, ... ICML 2023, 2023 | 27* | 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 | 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 | 19 | 2020 |
| 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 | 17 | 2020 |
| 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 | 14 | 2023 |
| 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 | 13 | 2018 |
| 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 | 8 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5 | 2019 |
| Densely Connected PixelCNN M Espinosa Zarlenga, A Ferber, M Luo, E Niklasson | 1 | |
| Efficient Bias Mitigation Without Privileged Information M Espinosa Zarlenga, S Sankaranarayanan, JTA Andrews, Z Shams, ... ECCV 2024, 2024 | | 2024 |
| Workshop on Human-Interpretable AI G Ciravegna, M Espinosa Zarlenga, P Barbiero, F Giannini, Z Shams, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Understanding Inter-Concept Relationships in Concept-Based Models N Raman, M Espinosa Zarlenga, M Jamnik ICML 2024, 2024 | | 2024 |
| Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning G Dominici, P Barbiero, M Espinosa Zarlenga, A Termine, M Gjoreski, ... arXiv preprint arXiv:2405.16507, 2024 | | 2024 |
| From Must to May: Enabling Test-Time Feature Imputation and Interventions E Rex, M Espinosa Zarlenga, A Margeloiu, M Jamnik KDD 2024 Workshop on Human-Interpretable Artificial Intelligence, 2024 | | 2024 |
| Train it, Extend it, Retrain it: Iterative Concept Discovery O Hill, M Espinosa Zarlenga, M Jamnik KDD 2024 Workshop on Human-Interpretable Artificial Intelligence, 2024 | | 2024 |
