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Diana Mincu
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2020 – today
- 2024
- [j5]Noelia Ferruz, Marinka Zitnik, Pierre-Yves Oudeyer, Emmie Hine
, Nandana Sengupta, Yiyu Shi, Diana Mincu, Sebastian Porsdam Mann, Payel Das, Francesco Stella:
Anniversary AI reflections. Nat. Mac. Intell. 6(1): 6-12 (2024) - [c5]Han Zhou
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR 2024 - 2023
- [j4]Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. 2023 (2023) - [i9]Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR abs/2302.07854 (2023) - [i8]Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy:
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR abs/2306.07946 (2023) - [i7]Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy:
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR abs/2309.17249 (2023) - 2022
- [j3]Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23: 226:1-226:61 (2022) - [j2]Diana Mincu
Developing robust benchmarks for driving forward AI innovation in healthcare. Nat. Mac. Intell. 4(11): 916-921 (2022) - [c4]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL 2022: 375-396 - [c3]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT 2022: 1943-1961 - [c2]Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 2022 - [i6]Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022) - [i5]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR abs/2202.13028 (2022) - [i4]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR abs/2204.03969 (2022) - 2021
- [j1]Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. J. Am. Medical Informatics Assoc. 28(9): 1936-1946 (2021) - [c1]Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff:
Concept-based model explanations for electronic health records. CHIL 2021: 36-46 - [i3]Jessica Schrouff, Sebastien Baur, Shaobo Hou, Diana Mincu, Eric Loreaux, Ralph Blanes, James Wexler, Alan Karthikesalingam, Been Kim:
Best of both worlds: local and global explanations with human-understandable concepts. CoRR abs/2106.08641 (2021) - 2020
- [i2]Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020) - [i1]Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G. Seneviratne, Alan Karthikesalingam, Jessica Schrouff:
Concept-based model explanations for Electronic Health Records. CoRR abs/2012.02308 (2020)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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