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09/20/2023
Parallel-mentoring for Offline Model-based Optimization
We study offline model-based optimization to maximize a black-box object...
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04/07/2023
Conservative objective models are a special kind of contrastive divergence-based energy model
In this work we theoretically show that conservative objective models (C...
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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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11/19/2022
Towards good validation metrics for generative models in offline model-based optimisation
In this work we propose a principled evaluation framework for model-base...
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03/30/2022
Challenges in leveraging GANs for few-shot data augmentation
In this paper, we explore the use of GAN-based few-shot data augmentatio...
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03/07/2019
Adversarial Mixup Resynthesizers
In this paper, we explore new approaches to combining information encode...
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06/13/2018
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer
Deep networks often perform well on the data manifold on which they are ...
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03/25/2018
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
We present an unsupervised approach for learning to estimate three dimen...
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07/11/2017
A step towards procedural terrain generation with GANs
Procedural terrain generation for video games has been traditionally bee...
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05/15/2017
Unimodal probability distributions for deep ordinal classification
Probability distributions produced by the cross-entropy loss for ordinal...
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12/07/2016