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06/30/2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fu...
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02/14/2023
Score-based Diffusion Models in Function Space
Diffusion models have recently emerged as a powerful framework for gener...
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11/02/2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Large-scale diffusion-based generative models have led to breakthroughs ...
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04/03/2022
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Most AI projects start with a Python notebook running on a single laptop...
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03/16/2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Common image-to-image translation methods rely on joint training over da...
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03/02/2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Learning generative models for graph-structured data is challenging beca...
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11/08/2018
Bias and Generalization in Deep Generative Models: An Empirical Study
In high dimensional settings, density estimation algorithms rely crucial...
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06/18/2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
A variety of learning objectives have been proposed for training latent ...
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06/07/2017
