Dan Moldovan

According to our database, Dan Moldovan authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Volt-PF Control Mode for Distribution Feeder Voltage Management Under High Penetration of Distributed Energy Resources.

Madhura Sondharangalla, Dan Moldovan, Raja Ayyanar

CoRR, 2024

2023

Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations.

Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager

CoRR, 2023

2022

Underspecification Presents Challenges for Credibility in Modern Machine Learning.

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

J. Mach. Learn. Res., 2022

Causally motivated shortcut removal using auxiliary labels.

Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Robustness and Transferability of Convolutional Neural Networks.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Affect inTweets: A Transfer Learning Approach.

Linrui Zhang, Hsin-Lun Huang, Yang Yu, Dan Moldovan

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

AutoGraph: Imperative-style Coding with Graph-based Performance.

Dan Moldovan, James M. Decker, Fei Wang, Andrew A. Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning.

Linrui Zhang, Dan Moldovan

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming.

Bart van Merrienboer, Dan Moldovan, Alexander B. Wiltschko

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Chinese Relation Classification using Long Short Term Memory Networks.

Linrui Zhang, Dan Moldovan

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Chinese Relation Classification via Convolutional Neural Networks.

Linrui Zhang, Dan Moldovan

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017

Tangent: Automatic Differentiation Using Source Code Transformation in Python.

Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan

CoRR, 2017