4 papers
Sparse-View Interpretable 3D Animal Behavior Representations for Neural Encoding and Decoding
Xinming Dai, Qihang Jin, Tianshu Tan +8
A deeper understanding of brain function requires a precise, structured characterization of behavior. Yet, extracting behavioral representations from video in a form suitable for s…
BEAST3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
Yanchen Wang, Lenny Aharon, Wangshu Zhu +7
Multi-view video recordings are increasingly used to capture the 3D movements of animals in experimental settings, yet extracting rich 3D representations from these recordings rema…
Walking the Weight Manifold: a Topological Approach to Conditioning Inspired by Neuromodulation
Ari S. Benjamin, Kyle Daruwalla, Christian Pehle +2
One frequently wishes to learn a range of similar tasks as efficiently as possible, re-using knowledge across tasks. In artificial neural networks, this is typically accomplished b…
Continual learning with the neural tangent ensemble
Ari S. Benjamin, Christian Pehle, Kyle Daruwalla
A natural strategy for continual learning is to weigh a Bayesian ensemble of fixed functions. This suggests that if a (single) neural network could be interpreted as an ensemble, o…