Estefany Kelly Buchanan

According to our database, Estefany Kelly Buchanan authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Shrinking the Generation-Verification Gap with Weak Verifiers.

Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré

CoRR, June, 2025

2024

Building reliable machine learning systems for neuroscience

Estefany Kelly Buchanan

PhD thesis, 2024

Pathologies of Predictive Diversity in Deep Ensembles.

Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, John P. Cunningham

Trans. Mach. Learn. Res., 2024

Brain-to-Text Benchmark '24: Lessons Learned.

Francis R. Willett, Jingyuan Li, Trung Le, Chaofei Fan, Mingfei Chen, Eli Shlizerman, Yue Chen, Xin Zheng, Tatsuo S. Okubo, Tyler Benster, Hyun Dong Lee, Maxwell Kounga, Estefany Kelly Buchanan, David M. Zoltowski, Scott W. Linderman, Jaimie M. Henderson

CoRR, 2024

Archon: An Architecture Search Framework for Inference-Time Techniques.

Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini

CoRR, 2024

2022

Deep Ensembles Work, But Are They Necessary?

Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, Richard S. Zemel, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

Matthew R. Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, Estefany Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J. Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E. Urai, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski

PLoS Comput. Biol., 2021

2020

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking.

Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski

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