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2021-05
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
2021-03
Predictive learning as a network mechanism for extracting low-dimensional latent space representations.
2020-11
Gradient Starvation: A Learning Proclivity in Neural Networks
Learning function from structure in neuromorphic networks
2020-10
2020-09
Predictive learning as a network mechanism for extracting low-dimensional latent space representations
2020-08
Implicit Regularization in Deep Learning: A View from Function Space
2020-07
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
2020-06
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
Advantages of biologically-inspired adaptive neural activation in RNNs during learning.
Untangling tradeoffs between recurrence and self-attention in neural networks
2020-05
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
2020-04
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
2020-01
Internal representation dynamics and geometry in recurrent neural networks.
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
2019-12
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
2019-09
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
Modelling Working Memory using Deep Recurrent Reinforcement Learning
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
2019-07
Predictive learning extracts latent space representations from sensory observations
2019-06
Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm
Dimensionality compression and expansion in Deep Neural Networks
2019-01
Cortical network mechanisms of anodal and cathodal transcranial direct current stimulation in awake primates
Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm.
2018-11
Signatures and mechanisms of low-dimensional neural predictive manifolds
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