Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

This is the official pytorch implementation of the paper "ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection, AAAI2025". Also, we provide an appendix here.

Chaos Vantage 3.0 beta introduces USD, MaterialX and Gaussian Splats, extending real-time GPU ray tracing into more open ...

Fifteen years ago, planning for a new substation upgrade barely considered how distributed energy resources (DERs) might ...

AI promises much to distributors — but where does it deliver? Here, a pair of Stanford graduate students reveal the findings ...

Failure modes, effects, and diagnostics analysis (FMEDA) is one of the available safety analysis tools that assesses ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

To tackle the sampling challenge, we introduce Decoupled Graph Energy-based Model (DeGEM), which decomposes the learning process into two parts—a graph encoder that leverages topology information for ...