Compelling experimental evidence suggests the existence of new physics beyond the well-
established and tested standard model of particle physics. Various current and upcoming …

A new paradigm for data-driven, model-agnostic new physics searches at colliders is
emerging, and aims to leverage recent breakthroughs in anomaly detection and machine …

We leverage recent breakthroughs in neural density estimation to propose a new
unsupervised ANOmaly detection with Density Estimation (ANODE) technique. By …

Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC),
where it has provided numerous innovative new ways to search for new physics and to …

We propose a new model-agnostic search strategy for physics beyond the standard model
(BSM) at the LHC, based on a novel application of neural density estimation to anomaly …

Given the lack of evidence for new particle discoveries at the Large Hadron Collider (LHC), it
is critical to broaden the search program. A variety of model-independent searches have …

We describe the outcome of a data challenge conducted as part of the Dark Machines
Initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged …

This Letter describes a search for narrowly resonant new physics using a machine-learning
anomaly detection procedure that does not rely on signal simulations for developing the …

When are two collider events similar? Despite the simplicity and generality of this question,
there is no established notion of the distance between two events. To address this question …

We introduce a new technique named latent CATHODE (LaCATHODE) for performing
“enhanced bump hunts,” a type of resonant anomaly search that combines conventional one …