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Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models

Researchers have developed a new method for accelerating video generation and world models using spa...

Physics-Unrolled Neural Operator for Wireless Field Modeling

Researchers have developed a new model called Physics-Unrolled Hybrid Neural Operator (PU-HNO) that ...

Science Done on a Machine by a Machine: AI Agents in Computational Chemistry

Researchers are developing AI agents that can perform computational chemistry simulations autonomous...

OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

Researchers have proposed a new deep learning model called OptiModNet for segmenting the optic disc ...

GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels

Researchers have developed a new method for compressing wireless channel data ca...

Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection

Researchers have developed a new method for detecting AI-generated images. They ...

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

Researchers have proposed a new framework called DART-SD to improve the performa...

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

Researchers have found that large language models can be unstable and sensitive ...