Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
A researcher at the Department of Physics at Tohoku University has uncovered a surprising quantum phenomenon hidden inside ordinary crystals: the strength of interactions between electrons and lattice ...
The availability of these models in multiple configurations ensures that they can be fine-tuned for specific tasks, whether in natural language processing, reasoning, or domain-specific applications.
For close to a century, scientists have been trying to marry Albert Einstein’s General Theory of Relativity and quantum theory—our two best bets on understanding the universe on a macroscopic and ...
Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...
ABSTRACT: We present a novel integrated mathematical and numerical framework for the nonlinear Schrödinger equation in open quantum systems under electromagnetic fields, with a particular focus on ...
Abstract: This paper presents a novel approach for codebook initialization in the well-established Vector Quantized-Variational AutoEncoder (VQ-VAE). Rapid Object Modeling (ROM), inspired by few-shot ...
Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
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