Abstract: Following the Bayesian inference framework, this article investigates the problem of distributed particle filtering over a sensor network to achieve consensus. The objective of the posterior ...

Abstract: The inherent nonuniqueness problem challenges acoustic impedance inversion, and thus it is meaningful to explore the possible solutions via advanced strategies, e.g., incorporating ...

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

A complete list of papers about adversarial examples It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable ...

Aether AI, founded by UCSD professor Biwei Huang, closed a $20 million seed round on June 18, 2026 to build causal world models that understand cause-and-effect relationships rather than statistical ...

aDepartment of Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, AL, USA bDepartment of Anesthesia and Perioperative Care, Division of Critical Care Medicine, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

The U.S. Cotton Trust Protocol is implementing forensic verification as part of a new "Physical Assurance Program." This includes a forensic isotopic analysis that will validate the origin of U.S.