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07/11/2023
Neuro-Inspired Efficient Map Building via Fragmentation and Recall
Animals and robots navigate through environments by building and refinin...
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07/02/2023
Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing
The ability to design novel proteins with higher fitness on a given task...
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06/16/2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
How can we tell whether two neural networks are utilizing the same inter...
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05/01/2023
Model-agnostic Measure of Generalization Difficulty
The measure of a machine learning algorithm is the difficulty of the tas...
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10/23/2021
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Humans are expert explorers. Understanding the computational cognitive m...
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06/15/2021
Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations
Recent works have examined how deep neural networks, which can solve a v...
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04/06/2017