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03/07/2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for gener...
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07/11/2020
BERT Learns (and Teaches) Chemistry
Modern computational organic chemistry is becoming increasingly data-dri...
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12/19/2019
Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks
The interplay between inter-neuronal network topology and cognition has ...
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11/18/2019
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity
Kernel sparsity ("dying ReLUs") and lack of diversity are commonly obser...
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07/22/2019
Understanding Adversarial Robustness Through Loss Landscape Geometries
The pursuit of explaining and improving generalization in deep learning ...
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05/16/2019