Idan Achituve | DeepAI

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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...

0 Ariel Lapid, et al. ∙

∙ 02/19/2023

Guided Deep Kernel Learning

Combining Gaussian processes with the expressive power of deep neural ne...

0 Idan Achituve, et al. ∙

∙ 01/30/2023

Equivariant Architectures for Learning in Deep Weight Spaces

Designing machine learning architectures for processing neural networks ...

0 Aviv Navon, et al. ∙

∙ 09/04/2022

Communication Efficient Distributed Learning over Wireless Channels

Vertical distributed learning exploits the local features collected by m...

0 Idan Achituve, et al. ∙

∙ 06/05/2022

Functional Ensemble Distillation

Bayesian models have many desirable properties, most notable is their ab...

0 Coby Penso, et al. ∙

∙ 02/02/2022

Multi-Task Learning as a Bargaining Game

In Multi-task learning (MTL), a joint model is trained to simultaneously...

0 Aviv Navon, et al. ∙

∙ 06/29/2021

Personalized Federated Learning with Gaussian Processes

Federated learning aims to learn a global model that performs well on cl...

0 Idan Achituve, et al. ∙

∙ 02/15/2021

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

Gaussian processes (GPs) are non-parametric, flexible, models that work ...

0 Idan Achituve, et al. ∙

∙ 03/29/2020

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Self-supervised learning (SSL) allows to learn useful representations fr...

13 Idan Achituve, et al. ∙

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