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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 ...
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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...
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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...
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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....
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07/31/2019
On Mutual Information Maximization for Representation Learning
Many recent methods for unsupervised or self-supervised representation l...
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05/27/2019
Practical and Consistent Estimation of f-Divergences
The estimation of an f-divergence between two probability distributions ...
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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...
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12/19/2018
An Empirical Study of Generative Models with Encoders
Generative adversarial networks (GANs) are capable of producing high qua...
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02/11/2018
On the Latent Space of Wasserstein Auto-Encoders
We study the role of latent space dimensionality in Wasserstein auto-enc...
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07/04/2017
Causal Consistency of Structural Equation Models
Complex systems can be modelled at various levels of detail. Ideally, ca...
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06/30/2017
Probabilistic Active Learning of Functions in Structural Causal Models
We consider the problem of learning the functions computing children fro...
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03/02/2016