Alex Williams
@itsneuronal.bsky.social
Asst Prof at NYU + Flatiron Institute
Computational + Statistical Neuroscience
https://neurostatslab.org/
Computational + Statistical Neuroscience
https://neurostatslab.org/
Congratulations Martin! Well deserved!
November 6, 2025 at 12:03 PM
Congratulations Martin! Well deserved!
It's possible to get first order approximate understanding of RNNs performing relatively complex tasks.
[1906.10720] Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics share.google/ElT686dgAUIk...
But some tasks are harder than others 🤷♂️
[1906.10720] Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics share.google/ElT686dgAUIk...
But some tasks are harder than others 🤷♂️
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Recurrent neural networks (RNNs) are a widely used tool for modeling sequential data, yet they are often treated as inscrutable black boxes. Given a trained recurrent network, we would like to reverse...
share.google
October 14, 2025 at 3:35 PM
It's possible to get first order approximate understanding of RNNs performing relatively complex tasks.
[1906.10720] Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics share.google/ElT686dgAUIk...
But some tasks are harder than others 🤷♂️
[1906.10720] Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics share.google/ElT686dgAUIk...
But some tasks are harder than others 🤷♂️