Paul K. Rubenstein | DeepAI

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∙ 06/22/2023

AudioPaLM: A Large Language Model That Can Speak and Listen

We introduce AudioPaLM, a large language model for speech understanding ...

0 Paul K. Rubenstein, et al. ∙

∙ 02/07/2023

Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models

Learned metrics such as BLEURT have in recent years become widely employ...

0 Amirkeivan Mohtashami, et al. ∙

∙ 03/11/2022

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations

As natural images usually contain multiple objects, multi-label image cl...

0 Thomas Verelst, et al. ∙

∙ 10/09/2019

Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks

We study the problem of causal discovery through targeted interventions....

39 Julius von Kügelgen, et al. ∙

∙ 07/31/2019

On Mutual Information Maximization for Representation Learning

Many recent methods for unsupervised or self-supervised representation l...

0 Michael Tschannen, et al. ∙

∙ 05/27/2019

Practical and Consistent Estimation of f-Divergences

The estimation of an f-divergence between two probability distributions ...

0 Paul K. Rubenstein, et al. ∙

∙ 05/16/2019

The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA

We consider the problem of recovering a common latent source with indepe...

9 Luigi Gresele, et al. ∙

∙ 12/19/2018

An Empirical Study of Generative Models with Encoders

Generative adversarial networks (GANs) are capable of producing high qua...

16 Paul K. Rubenstein, et al. ∙

∙ 02/11/2018

On the Latent Space of Wasserstein Auto-Encoders

We study the role of latent space dimensionality in Wasserstein auto-enc...

0 Paul K. Rubenstein, et al. ∙

∙ 07/04/2017

Causal Consistency of Structural Equation Models

Complex systems can be modelled at various levels of detail. Ideally, ca...

0 Paul K. Rubenstein, et al. ∙

∙ 06/30/2017

Probabilistic Active Learning of Functions in Structural Causal Models

We consider the problem of learning the functions computing children fro...

0 Paul K. Rubenstein, et al. ∙

∙ 03/02/2016

A Kernel Test for Three-Variable Interactions with Random Processes

We apply a wild bootstrap method to the Lancaster three-variable interac...

0 Paul K. Rubenstein, et al. ∙

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