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Mateo Espinosa Zarlenga
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- affiliation: University of Cambridge, Cambridge, UK
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2020 – today
- 2024
- [c11]Mateo Espinosa Zarlenga
, Swami Sankaranarayanan
Efficient Bias Mitigation Without Privileged Information. ECCV (72) 2024: 148-166 - [c10]Evan Rex, Mateo Espinosa Zarlenga, Andrei Margeloiu, Mateja Jamnik:
From Must to May: Enabling Test-Time Feature Imputation and Interventions. HI-AI@KDD 2024: 74-86 - [c9]Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik:
Understanding Inter-Concept Relationships in Concept-Based Models. ICML 2024 - [c8]Gabriele Ciravegna
Workshop on Human-Interpretable AI. KDD 2024: 6708-6709 - [e1]Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024. CEUR Workshop Proceedings 3841, CEUR-WS.org 2024 [contents] - [i12]Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik:
Do Concept Bottleneck Models Obey Locality? CoRR abs/2401.01259 (2024) - [i11]Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR abs/2405.16507 (2024) - [i10]Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik:
Understanding Inter-Concept Relationships in Concept-Based Models. CoRR abs/2405.18217 (2024) - 2023
- [j2]Mateo Espinosa Zarlenga, Zohreh Shams, Michael E. Nelson, Been Kim, Mateja Jamnik:
TabCBM: Concept-based Interpretable Neural Networks for Tabular Data. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Mateo Espinosa Zarlenga
Towards Robust Metrics for Concept Representation Evaluation. AAAI 2023: 11791-11799 - [c6]Katherine Maeve Collins
Human Uncertainty in Concept-Based AI Systems. AIES 2023: 869-889 - [c5]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c4]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c3]Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. NeurIPS 2023 - [i9]Mateo Espinosa Zarlenga, Pietro Barbiero
Towards Robust Metrics for Concept Representation Evaluation. CoRR abs/2301.10367 (2023) - [i8]Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham:
Human Uncertainty in Concept-Based AI Systems. CoRR abs/2303.12872 (2023) - [i7]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i6]Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. CoRR abs/2309.16928 (2023) - 2022
- [c2]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik:
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022 - [i5]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini
Concept Embedding Models. CoRR abs/2209.09056 (2022) - 2021
- [i4]Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik:
Efficient Decompositional Rule Extraction for Deep Neural Networks. CoRR abs/2111.12628 (2021) - 2020
- [j1]Yu Gan
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems. IEEE Micro 40(3): 10-19 (2020) - [i3]Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou:
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. CoRR abs/2002.01419 (2020)
2010 – 2019
- 2019
- [c1]Yu Gan
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems. ASPLOS 2019: 3-18 - [i2]Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou:
An Open-Source Benchmark Suite for Cloud and IoT Microservices. CoRR abs/1905.11055 (2019) - 2018
- [i1]Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou:
To Centralize or Not to Centralize: A Tale of Swarm Coordination. CoRR abs/1805.01786 (2018)
Coauthor Index
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