papers
Publications (10)
cs.NE2015
Random Walk Initialization for Training Very Deep Feedforward Networks
David Sussillo, L. F. Abbott
q-bio.NC2019
Harnessing behavioral diversity to understand circuits for cognition
Simon Musall, Anne Urai, David Sussillo +1
q-bio.NC2018
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius +5
cs.LG2016
A Neural Transducer
Navdeep Jaitly, David Sussillo, Quoc V. Le +3
cs.AI2018
A Dataset and Architecture for Visual Reasoning with a Working Memory
Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang +2
cs.AI2017
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
Jakob N. Foerster, Justin Gilmer, Jan Chorowski +2
cs.CV2018
Recurrent Segmentation for Variable Computational Budgets
Lane McIntosh, Niru Maheswaranathan, David Sussillo +1
q-bio.NC2016
Making brain-machine interfaces robust to future neural variability
David Sussillo, Sergey D. Stavisky, Jonathan C. Kao +2
stat.ML2017
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
cs.LG2016
LFADS - Latent Factor Analysis via Dynamical Systems
David Sussillo, Rafal Jozefowicz, L. F. Abbott +1