Dan Moldovan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Transfer Learning

Symbolic Execution

Top Venues

FLAIRS Conference

Publications

Madhura Sondharangalla, Dan Moldovan, Raja Ayyanar
Volt-PF Control Mode for Distribution Feeder Voltage Management Under High Penetration of Distributed Energy Resources. CoRR (2024)
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 (2023)
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 (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally motivated shortcut removal using auxiliary labels. AISTATS (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR (2021)
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)
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 (2020)
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 (2020)
Linrui Zhang, Hsin-Lun Huang, Yang Yu, Dan Moldovan
Affect inTweets: A Transfer Learning Approach. LREC (2020)
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. MLSys (2019)
Linrui Zhang, Dan Moldovan
Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning. FLAIRS Conference (2019)
Bart van Merriënboer, Dan Moldovan, Alexander B. Wiltschko
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. CoRR (2018)
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 (2018)
Linrui Zhang, Dan Moldovan
Chinese Relation Classification using Long Short Term Memory Networks. LREC (2018)
Linrui Zhang, Dan Moldovan
Chinese Relation Classification via Convolutional Neural Networks. FLAIRS Conference (2018)
Bart van Merrienboer, Dan Moldovan, Alexander B. Wiltschko
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. NeurIPS (2018)
Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan
Tangent: Automatic Differentiation Using Source Code Transformation in Python. CoRR (2017)