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View article: Latent Thought Models with Variational Bayes Inference-Time Computation
Latent Thought Models with Variational Bayes Inference-Time Computation Open
We propose a novel class of language models, Latent Thought Models (LTMs), which incorporate explicit latent thought vectors that follow an explicit prior model in latent space. These latent thought vectors guide the autoregressive generat…
View article: Long-range gene expression prediction with token alignment of large language model
Long-range gene expression prediction with token alignment of large language model Open
Gene expression is a cellular process that plays a fundamental role in human phenotypical variations and diseases. Despite advances of deep learning models for gene expression prediction, recent benchmarks have revealed their inability to …
View article: Differentiable VQ-VAE’s for Robust White Matter Streamline Encodings
Differentiable VQ-VAE’s for Robust White Matter Streamline Encodings Open
Given the complex geometry of white matter streamlines, Autoencoders have been proposed as a dimension-reduction tool to simplify the analysis streamlines in a low-dimensional latent spaces. However, despite these recent successes, the maj…
View article: Molecule Design by Latent Prompt Transformer
Molecule Design by Latent Prompt Transformer Open
This work explores the challenging problem of molecule design by framing it as a conditional generative modeling task, where target biological properties or desired chemical constraints serve as conditioning variables. We propose the Laten…
View article: Differentiable VQ-VAE's for Robust White Matter Streamline Encodings
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings Open
Given the complex geometry of white matter streamlines, Autoencoders have been proposed as a dimension-reduction tool to simplify the analysis streamlines in a low-dimensional latent spaces. However, despite these recent successes, the maj…