Alexander B. Wiltschko

According to our database, Alexander B. Wiltschko authored at least 8 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Evaluating Attribution for Graph Neural Networks.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Richard C. Gerkin, Alán Aspuru-Guzik, Alexander B. Wiltschko

CoRR, 2019

Avoiding a Tragedy of the Commons in the Peer Review Process.

D. Sculley, Jasper Snoek, Alexander B. Wiltschko

CoRR, 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 Machine Learning and Systems 2019, 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

Winner's Curse? On Pace, Progress, and Empirical Rigor.

D. Sculley, Jasper Snoek, Alexander B. Wiltschko, Ali Rahimi

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Tangent: Automatic Differentiation Using Source Code Transformation in Python.

Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan

CoRR, 2017

2016

Composing graphical models with neural networks for structured representations and fast inference.

Matthew J. Johnson, David Duvenaud, Alexander B. Wiltschko, Ryan P. Adams, Sandeep R. Datta

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016