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2020 – today
- 2024
[i8]Madhura Sondharangalla, Dan Moldovan, Raja Ayyanar:
Volt-PF Control Mode for Distribution Feeder Voltage Management Under High Penetration of Distributed Energy Resources. CoRR abs/2405.18305 (2024)- 2023
- [i7]Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager:
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations. CoRR abs/2301.01371 (2023) - 2022
- [j1]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) - [c8]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally motivated shortcut removal using auxiliary labels. AISTATS 2022: 739-766 - 2021
- [c7]Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic:
On Robustness and Transferability of Convolutional Neural Networks. CVPR 2021: 16458-16468 - [i6]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR abs/2105.06422 (2021) - 2020
- [c6]Linrui Zhang, Hsin-Lun Huang, Yang Yu, Dan Moldovan:
Affect inTweets: A Transfer Learning Approach. LREC 2020: 1511-1516 - [i5]Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic:
On Robustness and Transferability of Convolutional Neural Networks. CoRR abs/2007.08558 (2020) - [i4]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. CoRR abs/2011.03395 (2020)
2010 – 2019
- 2019
- [c5]Linrui Zhang, Dan Moldovan:
Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning. FLAIRS 2019: 92-97 - [c4]Dan Moldovan, James M. Decker, Fei Wang, Andrew A. Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko:
AutoGraph: Imperative-style Coding with Graph-based Performance. SysML 2019 - 2018
- [c3]Linrui Zhang, Dan Moldovan:
Chinese Relation Classification via Convolutional Neural Networks. FLAIRS 2018: 225-228 - [c2]Linrui Zhang, Dan Moldovan:
Chinese Relation Classification using Long Short Term Memory Networks. LREC 2018 - [c1]Bart van Merrienboer, Dan Moldovan, Alexander B. Wiltschko:
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. NeurIPS 2018: 6259-6268 - [i3]Bart van Merriënboer, Dan Moldovan, Alexander B. Wiltschko:
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. CoRR abs/1809.09569 (2018) - [i2]Dan Moldovan, James M. Decker, Fei Wang, Andrew A. Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko:
AutoGraph: Imperative-style Coding with Graph-based Performance. CoRR abs/1810.08061 (2018) - 2017
- [i1]Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan:
Tangent: Automatic Differentiation Using Source Code Transformation in Python. CoRR abs/1711.02712 (2017)
Coauthor Index
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last updated on 2024-09-13 00:36 CEST by the dblp team
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