83 citations · 255 across the 11 of their papers we have counts for
11 papers
Versatile Energy-Based Probabilistic Models for High Energy Physics
Taoli Cheng, Aaron Courville
As a classical generative modeling approach, energy-based models have the natural advantage of flexibility in the form of the energy function. Recently, energy-based models have ac…
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
The application of machine learning in sciences has seen exciting advances in recent years. As a widely applicable technique, anomaly detection has been long studied in the machine…
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging
Taoli Cheng, Aaron Courville
We leverage representation learning and the inductive bias in neural-net-based Standard Model jet classification tasks, to detect non-QCD signal jets. In establishing the framework…
Variational Autoencoders for Anomalous Jet Tagging
Taoli Cheng, Jean-François Arguin, Julien Leissner-Martin +2
We present a detailed study on Variational Autoencoders (VAEs) for anomalous jet tagging at the Large Hadron Collider. By taking in low-level jet constituents' information, and tra…
Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider
Taoli Cheng
Using deep neural networks for identifying physics objects at the Large Hadron Collider (LHC) has become a powerful alternative approach in recent years. After successful training…
Recursive Neural Networks in Quark/Gluon Tagging
Taoli Cheng
Since the machine learning techniques are improving rapidly, it has been shown that the image recognition techniques in deep neural networks can be used to detect jet substructure.…
Supersymmetry with a Heavy Lightest Supersymmetric Particle
Taoli Cheng, Jinmian Li, Tianjun Li
To escape the current LHC supersymmetry (SUSY) search constraints while preserve the naturalness condition, we propose the heavy Lightest Supersymmetric Particle (LSP) SUSY. Accord…
Electroweak Supersymmetry (EWSUSY) in the NMSSM
Taoli Cheng, Tianjun Li
To explain all the available experimental results, we have proposed the Electroweak Supersymmetry (EWSUSY) previously, where the squarks and/or gluino are heavy around a few TeVs w…
Natural NMSSM confronting with the LHC7-8
Taoli Cheng, Jinmian Li, Tianjun Li +1
The natural supersymmetry (SUSY) requires that stop, sbottom, and gluino be around one TeV or lighter. By using the direct SUSY search bounds from both ATLAS and CMS Collaborations…
Toward the Natural and Realistic NMSSM with and without R-Parity
Taoli Cheng, Jinmian Li, Tianjun Li +3
From the current ATLAS and CMS results on Higgs boson mass and decay rates, the NMSSM is obviously better than the MSSM. To explain the fine-tuning problems such as gauge hiearchy…
Electroweak Supersymmetry around the Electroweak Scale
Taoli Cheng, Jinmian Li, Tianjun Li +2
Inspired by the phenomenological constraints, LHC supersymmetry and Higgs searches, dark matter search as well as string model building, we propose the electroweak supersymmetry ar…