no code implementations • 1 Feb 2023 • Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John P. Cunningham
Here we demonstrate that these intuitions do not apply to high-capacity neural network ensembles (deep ensembles), and in fact the opposite is often true.
1 code implementation • 14 Feb 2022 • Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, Richard Zemel, John P. Cunningham
While deep ensembles are a practical way to achieve improvements to predictive power, uncertainty quantification, and robustness, our results show that these improvements can be replicated by a (larger) single model.
1 code implementation • NeurIPS 2020 • Anqi Wu, E. Kelly Buchanan, Matthew Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, The International Brain Laboratory The International Brain Laboratory, John P. Cunningham, Liam Paninski
Noninvasive behavioral tracking of animals is crucial for many scientific investigations.
1 code implementation • 17 Jul 2018 • E. Kelly Buchanan, Ian Kinsella, Ding Zhou, Rong Zhu, Pengcheng Zhou, Felipe Gerhard, John Ferrante, Ying Ma, Sharon Kim, Mohammed Shaik, Yajie Liang, Rongwen Lu, Jacob Reimer, Paul Fahey, Taliah Muhammad, Graham Dempsey, Elizabeth Hillman, Na Ji, Andreas Tolias, Liam Paninski
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution.
1 code implementation • 1 Dec 2017 • E. Kelly Buchanan, Akiva Lipshitz, Scott Linderman, Liam Paninski
In order to fully understand the neural activity of Caenorhabditis elegans, we need a rich, quantitative description of the behavioral outputs it gives rise to.