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08/17/2023
Half-Hop: A graph upsampling approach for slowing down message passing
Message passing neural networks have shown a lot of success on graph-str...
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03/15/2023
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Natural behavior consists of dynamics that are complex and unpredictable...
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02/21/2023
Learning signatures of decision making from many individuals playing the same game
Human behavior is incredibly complex and the factors that drive decision...
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01/01/2023
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
There are multiple scales of abstraction from which we can describe the ...
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06/14/2022
Learning Behavior Representations Through Multi-Timescale Bootstrapping
Natural behavior consists of dynamics that are both unpredictable, can s...
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06/10/2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Complex time-varying systems are often studied by abstracting away from ...
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11/03/2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Meaningful and simplified representations of neural activity can yield i...
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02/19/2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
State-of-the-art methods for self-supervised learning (SSL) build repres...
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12/21/2020
