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06/23/2023
Manifold Contrastive Learning with Variational Lie Group Operators
Self-supervised learning of deep neural networks has become a prevalent ...
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04/01/2023
PrefGen: Preference Guided Image Generation with Relative Attributes
Deep generative models have the capacity to render high fidelity images ...
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06/07/2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
Learning interpretable representations of neural dynamics at a populatio...
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05/07/2022
Variational Sparse Coding with Learned Thresholding
Sparse coding strategies have been lauded for their parsimonious represe...
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04/04/2021
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure
Objective: Worldwide, heart failure (HF) is a major cause of morbidity a...
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06/18/2020
Variational Autoencoder with Learned Latent Structure
The manifold hypothesis states that high-dimensional data can be modeled...
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06/27/2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment
In many machine learning applications, it is necessary to meaningfully a...
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05/10/2019
Active Embedding Search via Noisy Paired Comparisons
Suppose that we wish to estimate a user's preference vector w from paire...
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07/01/2013
Short Term Memory Capacity in Networks via the Restricted Isometry Property
Cortical networks are hypothesized to rely on transient network activity...
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11/17/2011