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06/19/2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation
The field of generative models has recently witnessed significant progre...
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02/19/2023
Guided Deep Kernel Learning
Combining Gaussian processes with the expressive power of deep neural ne...
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01/30/2023
Equivariant Architectures for Learning in Deep Weight Spaces
Designing machine learning architectures for processing neural networks ...
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09/04/2022
Communication Efficient Distributed Learning over Wireless Channels
Vertical distributed learning exploits the local features collected by m...
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06/05/2022
Functional Ensemble Distillation
Bayesian models have many desirable properties, most notable is their ab...
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02/02/2022
Multi-Task Learning as a Bargaining Game
In Multi-task learning (MTL), a joint model is trained to simultaneously...
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06/29/2021
Personalized Federated Learning with Gaussian Processes
Federated learning aims to learn a global model that performs well on cl...
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02/15/2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Gaussian processes (GPs) are non-parametric, flexible, models that work ...
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03/29/2020
