Jesse Thaler

Massachusetts Institute of Technology

United States

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Articles (26)

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Collaborators (8)

Wouter Waalewijn

Associate professor

University of Amsterdam

NETHERLANDS

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Steffen Schumann

Prof.

University of Göttingen

GERMANY

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Dorival Goncalves

Assistant Professor

Oklahoma State University

UNITED STATES

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Juan Rojo

University of Amsterdam

NETHERLANDS

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Francesco Armando Di Bello

Fixed term assistant professor

University of Genoa

ITALY

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Benjamin Nachman

University of California

UNITED STATES

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Lena Funcke

Junior Professor

University of Bonn

GERMANY

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Gavin Salam

University of Oxford

UNITED KINGDOM

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Jesse Thaler

Research Interests

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Articles (26)

QCD Theory Meets Information Theory

Frequentist uncertainties on neural density ratios with wi fi ensembles

Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data

New Angles on Energy Correlators

Flavor patterns of fundamental particles from quantum entanglement?

Anomaly detection in collider physics via factorized observables

Infrared-safe energy weighting does not guarantee small nonperturbative effects

Institute for Artificial Intelligence and Fundamental Interactions (IAIFI): Infusing physics intelligence into artificial intelligence

SPECTER: efficient evaluation of the spectral EMD

Moment extraction using an unfolding protocol without binning

Streamlining latent spaces in machine learning using moment pooling

Long-range near-side correlation in e+e− collisions at 183-209 GeV with ALEPH archived data

A spectral metric for collider geometry

Comparing point cloud strategies for collider event classification

Machine learning and LHC event generation

Analyzing N -Point Energy Correlators inside Jets with CMS Open Data

Flavored jets with exact anti- kt kinematics and tests of infrared and collinear safety

EPiC-GAN: Equivariant point cloud generation for particle jets

Pileup and Infrared Radiation Annihilation (PIRANHA): a paradigm for continuous jet grooming

SHAPER: can you hear the shape of a jet?

Disentangling quarks and gluons in CMS open data

Quantum annealing for jet clustering with thrust

Degeneracy engineering for classical and quantum annealing: A case study of sparse linear regression in collider physics

Bias and priors in machine learning calibrations for high energy physics

Learning Uncertainties the Frequentist Way: Calibration and Correlation in High Energy Physics

Symmetry discovery with deep learning

Collaborators (8)

Wouter Waalewijn

Steffen Schumann

Dorival Goncalves

Juan Rojo

Francesco Armando Di Bello

Benjamin Nachman

Lena Funcke

Gavin Salam

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