TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...

Abstract: Machine learning (ML) has demonstrated significant potential in accelerating the design of microwave components owing to its great ability to approximate the projection between geometric ...

Estimating the genetic diversity of cetaceans at sea, particularly abundant social delphinids, can be difficult with traditional biopsy sampling of individuals. Environmental DNA (eDNA) metabarcoding ...

Effective credit assignment is crucial for training LLMs in reasoning tasks. Trajectory-level methods such as GRPO rely solely on sparse final rewards, making credit assignment challenging.

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c01231. Additional results on the long-time convergence of the ...

This important study addresses key assumptions underlying current models of the formation of value-based decisions. The authors provide convincing evidence that the subjective values human ...

Techniques developed to analyse the ripples in spacetime detected by one of the 21st century’s most sensitive pieces of scientific equipment have helped cast new light on the function of the oldest ...