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Ted Moskovitz
Ted Moskovitz
Gatsby Unit, UCL
Verified email at gatsby.ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Feedback alignment in deep convolutional networks
TH Moskovitz, A Litwin-Kumar, LF Abbott
arXiv preprint arXiv:1812.06488, 2018
482018
Tactical Optimism and Pessimism for Deep Reinforcement Learning
T Moskovitz, J Parker-Holder, A Pacchiano, M Arbel, MI Jordan
Neural Information Processing Systems (NeurIPS) 2021, 2021
17*2021
A comparison of deep learning and linear-nonlinear cascade approaches to neural encoding
TH Moskovitz, NA Roy, JW Pillow
BioRxiv, 463422, 2018
102018
Efficient Wasserstein Natural Gradients for Reinforcement Learning
T Moskovitz, M Arbel, F Huszar, A Gretton
International Conference on Learning Representations (ICLR) 2021, 2020
92020
Towards an Understanding of Default Policies in Multitask Policy Optimization
T Moskovitz, M Arbel, J Parker-Holder, A Pacchiano
Conference on Artificial Intelligence and Statistics (AISTATS) 2022, 2021
62021
First-Order Preconditioning via Hypergradient Descent
T Moskovitz, R Wang, J Lan, S Kapoor, T Miconi, J Yosinski, A Rawal
NeurIPS 2019, Beyond First Order Methods in ML Workshop, 2019
6*2019
A First-Occupancy Representation for Reinforcement Learning
T Moskovitz, SR Wilson, M Sahani
International Conference on Learning Representations (ICLR) 2022, 2021
52021
Action prediction error: a value-free dopaminergic teaching signal that drives stable learning
F Greenstreet, HM Vergara, S Pati, L Schwarz, M Wisdom, F Marbach, ...
bioRxiv, 2022
32022
Amortised Learning by Wake-Sleep
LK Wenliang, T Moskovitz, H Kanagawa, M Sahani
International Conference on Machine Learning (ICML) 2020, 2020
32020
Do Biologically-Realistic Recurrent Architectures Produce Biologically-Realistic Models?
G Lindsay, T Moskovitz, GR Yang, K Miller
Conference on Cognitive Computational Neuroscience (CCN) 2019, 2019
12019
Understanding the functional and structural differences across excitatory and inhibitory neurons
S Minni, L Ji-An, T Moskovitz, G Lindsay, K Miller, M Dipoppa, GR Yang
bioRxiv, 680439, 2019
12019
Transfer RL via the Undo Maps Formalism
A Gupta, T Moskovitz, D Alvarez-Melis, A Pacchiano
arXiv preprint arXiv:2211.14469, 2022
2022
A Unified Theory of Dual-Process Control
T Moskovitz, K Miller, M Sahani, MM Botvinick
arXiv preprint arXiv:2211.07036, 2022
2022
Minimum Description Length Control
T Moskovitz, TC Kao, M Sahani, MM Botvinick
International Conference on Learning Representations (ICLR) 2023, 2022
2022
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