Buchanan, E. Kelly

9 publications

ICML 2025 An Architecture Search Framework for Inference-Time Techniques Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, E. Kelly Buchanan, Mayee F Chen, Neel Guha, Christopher Re, Azalia Mirhoseini
ICLRW 2025 An Architecture Search Framework for Inference-Time Techniques Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, E. Kelly Buchanan, Mayee F Chen, Neel Guha, Christopher Re, Azalia Mirhoseini
NeurIPS 2025 Extracting Task-Relevant Preserved Dynamics from Contrastive Aligned Neural Recordings Yiqi Jiang, Kaiwen Sheng, Yujia Gao, E. Kelly Buchanan, Yu Shikano, Seung Je Woo, Yixiu Zhao, Tony Hyun Kim, Fatih Dinc, Scott Linderman, Mark Schnitzer
NeurIPS 2025 Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification Jon Saad-Falcon, E. Kelly Buchanan, Mayee F Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Re
TMLR 2024 Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham
NeurIPSW 2023 The Effects of Ensembling on Long-Tailed Data E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham
ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
NeurIPSW 2022 Reliability Benchmarks for Image Segmentation E. Kelly Buchanan, Michael W Dusenberry, Jie Ren, Kevin Patrick Murphy, Balaji Lakshminarayanan, Dustin Tran
NeurIPSW 2022 The Best Deep Ensembles Sacrifice Predictive Diversity Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham