Mateo Espinosa Zarlenga

According to our database, Mateo Espinosa Zarlenga authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning.

Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich

CoRR, 2024

Do Concept Bottleneck Models Obey Locality?

Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

CoRR, 2024

Workshop on Human-Interpretable AI.

Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Understanding Inter-Concept Relationships in Concept-Based Models.

Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Bias Mitigation Without Privileged Information.

Mateo Espinosa Zarlenga, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

TabCBM: Concept-based Interpretable Neural Networks for Tabular Data.

Mateo Espinosa Zarlenga, Zohreh Shams, Michael E. Nelson, Been Kim, Mateja Jamnik

Trans. Mach. Learn. Res., 2023

Learning to Receive Help: Intervention-Aware Concept Embedding Models.

Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Neural-Symbolic Concept Reasoning.

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra

Proceedings of the International Conference on Machine Learning, 2023

Human Uncertainty in Concept-Based AI Systems.

Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Towards Robust Metrics for Concept Representation Evaluation.

Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Concept Embedding Models.

Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik

CoRR, 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Efficient Decompositional Rule Extraction for Deep Neural Networks.

Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik

CoRR, 2021

2020

Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems.

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

IEEE Micro, 2020

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms.

Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou

CoRR, 2020

2019

An Open-Source Benchmark Suite for Cloud and IoT Microservices.

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

CoRR, 2019

An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems.

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

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

To Centralize or Not to Centralize: A Tale of Swarm Coordination.

Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou

CoRR, 2018