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Publication search results
found 52 matches
- 2024
- Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CLeaR 2024: 957-978 - Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore:
Lawma: The Power of Specialization for Legal Tasks. CoRR abs/2407.16615 (2024) - 2023
- Michael P. Kim, Moritz Hardt:
Is Your Model Predicting the Past? EAAMO 2023: 5:1-5:8 - Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt:
Causal information splitting: Engineering proxy features for robustness to distribution shifts. UAI 2023: 1401-1411 - Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Mila Hardt:
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts. CoRR abs/2305.05832 (2023) - Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing:
Toward Falsifying Causal Graphs Using a Permutation-Based Test. CoRR abs/2305.09565 (2023) - Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CoRR abs/2311.04806 (2023) - 2022
- Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing:
Causal forecasting: generalization bounds for autoregressive models. UAI 2022: 2002-2012 - Moritz Hardt, Michael P. Kim:
Backward baselines: Is your model predicting the past? CoRR abs/2206.11673 (2022) - 2021
- Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD 2021: 2974-2983 - Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR abs/2109.03285 (2021) - 2020
- Christian Winkler, Michael Neidlin, Simon J. Sonntag, Anna Grünwald, Sascha Groß-Hardt, Johannes Breuer, Katharina Linden, Ulrike Herberg:
Estimation of left ventricular stroke work based on a large cohort of healthy children. Comput. Biol. Medicine 123: 103908 (2020) - René Schmidt, Alexander Graf, Ricardo Decker, Michael Heinrich, Verena Kräusel, Lothar Kroll, Wolfram Hardt:
Monitoring the Structural Health of Glass Fibre-Reinforced Hybrid Laminates Using Novel Piezoceramic Film. Sensors 20(18): 5428 (2020) - Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. AISTATS 2020: 918-929 - Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CHIL 2020: 80-89 - Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer:
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR 2020 - Maximilian Fechner, Tobias J. Brix, Tobias Hardt, Johannes Oehm, Martin Dugas, Michael Storck:
Evaluation of openEHR Repositories Regarding Standard Compliance. MIE 2020: 592-596 - Yaron Sheffer, Dick Hardt, Michael B. Jones:
JSON Web Token Best Current Practices. RFC 8725: 1-13 (2020) - 2019
- Iñaki Soto Rey, Tobias Hardt, Luca Hollenberg, Philipp Bruland, Sonja Ständer, Martin Dugas, Michael Storck:
Electronic Image Documentation of Patient Reported Outcomes Using Mobile Technologies. MedInfo 2019: 1779-1780 - Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CoRR abs/1907.04911 (2019) - Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. CoRR abs/1908.01039 (2019) - 2018
- Davide Salomoni, Isabel Campos Plasencia, Luciano Gaido, Jesús E. Marco de Lucas, P. Solagna, Jorge Gomes, Ludek Matyska, P. Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plóciennik, Roberto Barbera, Ignacio Blanquer, Andrea Ceccanti, Eva Cetinic, Mário David, Doina Cristina Duma, Álvaro López García, Germán Moltó, Pablo Orviz Fernández, Zdenek Sustr, Matthew Viljoen, Fernando Aguilar, Luís Alves, Marica Antonacci, Lucio Angelo Antonelli, Stefano Bagnasco, A. Bonving, Riccardo Bruno, Y. Chen, Alessandro Costa, Davor Davidovic, Benjamin Ertl, Marco Fargetta, Sandro Fiore, S. Gallozzi, Z. Kurkcuoglu, Lara Lloret Iglesias, J. Martins, Alessandra Nuzzo, Paola Nassisi, Cosimo Palazzo, João Murta Pina, Eva Sciacca, Daniele Spiga, Marco Antonio Tangaro, Michal Urbaniak, Sara Vallero, Bas Wegh, Valentina Zaccolo, Federico Zambelli, Tomasz Zok:
INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures. J. Grid Comput. 16(3): 381-408 (2018) - Alvin Rajkomar, Andrew M. Dai, Mimi Sun, Michaela Hardt, Kai Chen, Kathryn Rough, Jeffrey Dean:
Reply: metrics to assess machine learning models. npj Digit. Medicine 1 (2018) - Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean:
Scalable and accurate deep learning with electronic health records. npj Digit. Medicine 1 (2018) - Pouyan Fotouhi Tehrani, Hannes Restel, Michael Jendreck, Stefan Pfennigschmidt, Markus Hardt, Ulrich Meissen:
Toward Privacy by Design in Spatial Crowdsourcing in Emergency and Disaster Response. ICT-DM 2018: 1-9 - Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. NeurIPS 2018: 9525-9536 - Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc V. Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg Corrado, Jeff Dean:
Scalable and accurate deep learning for electronic health records. CoRR abs/1801.07860 (2018) - Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. CoRR abs/1810.03292 (2018) - 2017
- Ulrich Meissen, Frank Fuchs-Kittowski, Michael Jendreck, Stefan Pfennigschmidt, Markus Hardt, Agnès Voisard:
A general system architecture and design for the coordination of volunteers for agile disaster response. ISCRAM 2017 - Frank Fuchs-Kittowski, Michael Jendreck, Ulrich Meissen, Michel Rösler, Eridy Lukau, Stefan Pfennigschmidt, Markus Hardt:
ENSURE - Integration of Volunteers in Disaster Management. ISESS 2017: 247-262
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