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Anand Subramoney

STREAM: A Universal State-Space Model for Sparse Geometric Data

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Nov 19, 2024
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State-space models can learn in-context by gradient descent

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Oct 15, 2024
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Exploring the limits of Hierarchical World Models in Reinforcement Learning

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Jun 01, 2024
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Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models

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May 01, 2024
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Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

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Apr 29, 2024
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Language Modeling on a SpiNNaker 2 Neuromorphic Chip

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Dec 14, 2023
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Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference

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Nov 13, 2023
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Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training

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Jun 23, 2023
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Block-local learning with probabilistic latent representations

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May 24, 2023
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Efficient Real Time Recurrent Learning through combined activity and parameter sparsity

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Mar 10, 2023
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