Abstract: Flow Matching (FM) is a simulation-free method for learning a continuous, invertible flow that interpolates between two distributions, and in particular generates data from noise. Inspired ...
Power generation and energy storage systems rely on fluid transfer networks that must operate safely and efficiently across both new and existing facilities. Engineers face complex hydraulic and ...
To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to provide the ...
CEO Spencer Rascoff highlighted the completion of the company's reset phase and emphasized the transition into revitalizing product experiences, stating, "We completed the reset phase by putting user ...
Users across Workspace plans can now use Flow to create videos based on a text prompt or images. Users across Workspace plans can now use Flow to create videos based on a text prompt or images. is a ...
Influence of Device and Format: A Randomized Controlled Trial of an Electronic Health Record–Integrated Symptom Screening Questionnaire for Pediatric Patients With Cancer We created a hybrid ...
We created a hybrid rules–based and natural language processing (NLP)–based pipeline that automatically screens patients using structured and unstructured electronic health record data standardized to ...
Generative models have shown robust performance on speech enhancement and restoration tasks, but most prior approaches operate offline with high latency, making them unsuitable for streaming ...
Our method takes as input a front-view image, a natural-language navigation command with a system prompt, and the ego-vehicle states, and outputs an 8-waypoint future trajectory spanning 4 seconds ...
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