Abstract: Despite strong performances on many generative tasks, diffusion and flow matching models require a large number of sampling steps to generate high-quality images. This has motivated the ...

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Abstract: Robotic grasping under uncertainty remains a fundamental challenge due to its uncertain and contact-rich nature. Traditional rigid robotic hands, with limited degrees of freedom and ...

Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.

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This repo provides a recipe for training large flow-matching generative transformers on microscopy data. As of early 2026, it is the largest generative phenomics model to date, and attains SOTA ...

Learning image representations that respect the intrinsic geometry of data is crucial for capturing hierarchical semantic structure, yet generative transport is typically performed in Euclidean spaces ...

The San Francisco Giants held the Philadelphia Phillies to 20 consecutive scoreless innings, helping seal back-to-back shutout wins this week for the Giants' first time since September 2024.