Diana Mincu

20 papers A* 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation.
CoRR
Joseph Enguehard, Morgane Van Ermengem, Kate Atkinson, Sujeong Cha, Arijit Ghosh Chowdhury, Prashanth Kallur Ramaswamy, Jeremy Roghair, Hannah R. Marlowe, Carina Suzana Negreanu, Kitty Boxall, Diana Mincu
2024 J jnl
Anniversary AI reflections.
Nat. Mac. Intell.
Noelia Ferruz, Marinka Zitnik, Pierre-Yves Oudeyer, Emmie Hine, Nandana Sengupta, Yiyu Shi, Diana Mincu, Sebastian Porsdam Mann, Payel Das, Francesco Stella
2024 A* conf
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.
ICLR
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2023 J jnl
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.
CoRR
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2023 J jnl
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression.
Trans. Mach. Learn. Res.
Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023 J jnl
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models.
CoRR
Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023 J jnl
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems.
CoRR
Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy
2022 J jnl
Developing robust benchmarks for driving forward AI innovation in healthcare.
Nat. Mac. Intell.
Diana Mincu, Subhrajit Roy
2022 A* conf
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
NeurIPS
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
2022 — conf
Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
CHIL
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022 J jnl
Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
CoRR
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022 — conf
Healthsheet: Development of a Transparency Artifact for Health Datasets.
FAccT
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 J jnl
Healthsheet: Development of a Transparency Artifact for Health Datasets.
CoRR
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 J jnl
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR
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
2022 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
J. Mach. Learn. Res.
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
2021 J jnl
Best of both worlds: local and global explanations with human-understandable concepts.
CoRR
Jessica Schrouff, Sebastien Baur, Shaobo Hou, Diana Mincu, Eric Loreaux, Ralph Blanes, James Wexler, Alan Karthikesalingam, Been Kim
2021 — conf
Concept-based model explanations for electronic health records.
CHIL
Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff
2021 J jnl
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing.
J. Am. Medical Informatics Assoc.
Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne
2020 J jnl
Concept-based model explanations for Electronic Health Records.
CoRR
Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G. Seneviratne, Alan Karthikesalingam, Jessica Schrouff
2020 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
CoRR
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