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Aapo Hyvarinen

Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond

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Oct 09, 2023
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Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning

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Mar 29, 2023
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Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation

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Jan 23, 2023
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The Optimal Noise in Noise-Contrastive Learning Is Not What You Think

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Mar 02, 2022
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Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA

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Jun 17, 2021
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Autoregressive flow-based causal discovery and inference

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Jul 26, 2020
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Information criteria for non-normalized models

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May 15, 2019
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Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA

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Apr 19, 2019
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Neural Empirical Bayes

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Mar 06, 2019
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Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

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Oct 15, 2018
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