DeepLabCut: markerless pose estimation of user-defined body parts with deep learning A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ... Nature neuroscience 21 (9), 1281-1289, 2018 | 3437 | 2018 |
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos E Batty, M Whiteway, S Saxena, D Biderman, T Abe, S Musall, W Gillis, ... Advances in Neural Information Processing Systems 32, 2019 | 72 | 2019 |
Chronic, cortex-wide imaging of specific cell populations during behavior J Couto, S Musall, XR Sun, A Khanal, S Gluf, S Saxena, I Kinsella, T Abe, ... Nature protocols 16 (7), 3241-3263, 2021 | 44 | 2021 |
Deep Ensembles Work, But Are They Necessary? T Abe, EK Buchanan, G Pleiss, R Zemel, JP Cunningham Advances in Neural Information Processing Systems 35, 2022 | 39 | 2022 |
Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis T Abe, I Kinsella, S Saxena, EK Buchanan, J Couto, J Briggs, SL Kitt, ... Neuron, 2022 | 33 | 2022 |
Pathologies of Predictive Diversity in Deep Ensembles T Abe, EK Buchanan, G Pleiss, JP Cunningham arXiv preprint arXiv:2302.00704, 2023 | 7 | 2023 |
The Best Deep Ensembles Sacrifice Predictive Diversity T Abe, EK Buchanan, G Pleiss, JP Cunningham I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022 | 6 | 2022 |
Inverse articulated-body dynamics from video via variational sequential Monte Carlo D Biderman, CA Naesseth, L Wu, T Abe, AC Mosberger, LJ Sibener, ... | 2 | 2020 |
The Role of Model Implementation in Neuroscientific Applications of Machine Learning T Abe Columbia University, 2024 | | 2024 |
Markerless tracking of user-defined anatomical features with deep learning M Mathis, A Mathis, P Mamidanna, T Abe, V Murty, M Bethge 28th Annual Meeting of the Society for the Neural Control of Movement (NCM …, 2018 | | 2018 |