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05/30/2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity
Most learning algorithms in machine learning rely on gradient descent to...
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11/29/2022
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer
When presented with a data stream of two statistically dependent variabl...
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10/15/2022
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Neuroscience has long been an important driver of progress in artificial...
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10/12/2022
Contrastive introspection (ConSpec) to rapidly identify invariant steps for success
Reinforcement learning (RL) algorithms have achieved notable success in ...
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06/09/2022
On Neural Architecture Inductive Biases for Relational Tasks
Current deep learning approaches have shown good in-distribution general...
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05/26/2022
Evaluating Multimodal Interactive Agents
Creating agents that can interact naturally with humans is a common goal...
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02/11/2022
Investigating Power laws in Deep Representation Learning
Representation learning that leverages large-scale labelled datasets, is...
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01/31/2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
The development of biologically-plausible learning algorithms is importa...
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10/28/2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Machine learning has long since become a keystone technology, accelerati...
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06/08/2020
