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07/03/2023
Learning Mixtures of Gaussians Using the DDPM Objective
Recent works have shown that diffusion models can learn essentially any ...
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05/30/2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
We present the first diffusion-based framework that can learn an unknown...
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07/07/2021
RISAN: Robust Instance Specific Abstention Network
In this paper, we propose deep architectures for learning instance speci...
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06/19/2021
Learning and Generalization in Overparameterized Normalizing Flows
In supervised learning, it is known that overparameterized neural networ...
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05/31/2021
Rawlsian Fair Adaptation of Deep Learning Classifiers
Group-fairness in classification aims for equality of a predictive utili...
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06/14/2019
Online Active Learning of Reject Option Classifiers
Active learning is an important technique to reduce the number of labele...
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04/22/2019
PLUME: Polyhedral Learning Using Mixture of Experts
In this paper, we propose a novel mixture of expert architecture for lea...
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02/12/2018