MS
Matthew D. Schwartz
hep-phhep-thhep-excs.LGstat.MLnucl-thphysics.data-angr-qcquant-phcs.NA
On Valency
published · living versionsW_4e2z56e6·v1 · currentpublished
W_3gmu7vqt·v1published
Preprints & journals
108 papers in the corpus · 2000–2026The hidden sunrise in the energy-energy correlator2610.10734v1 · Matthew D. Schwartz, Xiaoyuan Zhang2026 · 0 citationsarXiv
BootLoops: an LLM-driven toolkit for exact quantitative science2610.02286v1 · Matthew D. Schwartz2026 · 0 citationsarXiv
Renormalon Saddles in the OPE2609.28638v1 · Arindam Bhattacharya, Jordan Cotler, Aur'elien Dersy et al.2026 · 0 citationsarXiv
The Double Well Done Doubly-Well2606.05282v1 · Aur'elien Dersy, Matthew D. Schwartz2026 · 0 citationsarXiv
Beyond the Dilute Instanton Gas: Resurgence with Exact Saddles in the Double Well2604.14279v1 · Aur'elien Dersy, Matthew D. Schwartz2026 · 0 citationsarXiv
Resummation of the C-Parameter Sudakov Shoulder Using Effective Field Theory2601.02484v1 · Matthew D. Schwartz2026 · 0 citationsarXiv
Asymptotic Behavior of Diagram Classes2512.09042v1 · Luen Clingerman, Matthew D. Schwartz2025 · 0 citationsarXiv
Observable Optimization for Precision Theory: Machine Learning Energy Correlators2508.10988v2 · Arindam Bhattacharya, Katherine Fraser, Matthew D. Schwartz2025 · 1 citationJHEP 01 (2026) 151
Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling2507.17815v1 · Oscar Barrera, Aur'elien Dersy, Rabia Husain et al.2025 · 3 citationsarXiv
Precision Hemisphere Masses in the Dijet Region with Power Corrections2506.09130v2 · Andre H. Hoang, Vicent Mateu, Matthew D. Schwartz et al.2025 · 5 citationsarXiv
A Precise Determination of from the Heavy Jet Mass Distribution2502.12253v2 · Miguel A. Benitez, Arindam Bhattacharya, Andre H. Hoang et al.2025 · 0 citationsSciPost Phys. 21, 063 (2026)
Renormalons as Saddle Points2410.07351v2 · Arindam Bhattacharya, Jordan Cotler, Aur'elien Dersy et al.2024 · 0 citationsJHEP 04 (2026) 140
The Landau Bootstrap2410.02424v1 · Holmfridur Hannesdottir, Andrew McLeod, Matthew D. Schwartz et al.2024 · 16 citationsarXiv
Learning the Simplicity of Scattering Amplitudes2408.04720v2 · Clifford Cheung, Aur'elien Dersy, Matthew D. Schwartz2024 · 6 citationsSciPost Phys. 18, 040 (2025)
The Collective Coordinate Fix2402.18633v1 · Arindam Bhattacharya, Jordan Cotler, Aur'elien Dersy et al.2024 · 8 citationsarXiv
Reconstructing -matrix Phases with Machine Learning2308.09451v1 · Aur'elien Dersy, Matthew D. Schwartz, Alexander Zhiboedov2023 · 11 citationsarXiv
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality2307.03223v2 · Mehmet Demirtas, James Halverson, Anindita Maiti et al.2023 · 19 citationsarXiv
NNLL Resummation of Sudakov Shoulder Logarithms in the Heavy Jet Mass Distribution2306.08033v1 · Arindam Bhattacharya, Johannes K. L. Michel, Matthew D. Schwartz et al.2023 · 14 citationsarXiv
Constraints on Sequential Discontinuities from the Geometry of On-shell Spaces2211.07633v1 · Holmfridur S. Hannesdottir, Andrew J. McLeod, Matthew D. Schwartz et al.2022 · 24 citationsarXiv
Prospects for strong coupling measurement at hadron colliders using soft-drop jet mass2210.04901v1 · Holmfridur S. Hannesdottir, Aditya Pathak, Matthew D. Schwartz et al.2022 · 8 citationsarXiv
Simplifying Polylogarithms with Machine Learning2206.04115v1 · Aur'elien Dersy, Matthew D. Schwartz, Xiaoyuan Zhang2022 · 15 citationsarXiv
Sudakov Shoulder Resummation for Thrust and Heavy Jet Mass2205.05702v2 · Arindam Bhattacharya, Matthew D. Schwartz, Xiaoyuan Zhang2022 · 16 citationsarXiv
Machine Learning and LHC Event Generation2203.07460v2 · Anja Butter (ed), Tilman Plehn (ed), Steffen Schumann (ed) et al.2022 · 115 citationsSciPost Phys. 14, 079 (2023)
Challenges for Unsupervised Anomaly Detection in Particle Physics2110.06948v1 · Katherine Fraser, Samuel Homiller, Rashmish K. Mishra et al.2021 · 49 citationsarXiv
Quark-Gluon Backscattering in the Regge Limit at One-Loop2110.02978v1 · Arindam Bhattacharya, Aneesh V. Manohar, Matthew D. Schwartz2021 · 1 citationarXiv
Implications of the Landau Equations for Iterated Integrals2109.09744v2 · Holmfridur S. Hannesdottir, Andrew J. McLeod, Matthew D. Schwartz et al.2021 · 48 citationsarXiv
Compton Scattering Total Cross Section at Next-to-Leading Order.34114861 · Lee, Roman N, Schwartz, Matthew D, Zhang, Xiaoyuan2021 · 15 citationsPhysical review letters. 2021;126(21):211801
Modern Machine Learning and Particle Physics2103.12226v1 · Matthew D. Schwartz2021 · 71 citationsHarvard Data Science Review, 2021 May 13;3(2)
Parameter Inference from Event Ensembles and the Top-Quark Mass2011.04666v2 · Forrest Flesher, Katherine Fraser, Charles Hutchison et al.2020 · 9 citationsarXiv
ABCDisCo: Automating the ABCD Method with Machine Learning2007.14400v1 · Gregor Kasieczka, Benjamin Nachman, Matthew D. Schwartz et al.2020 · 56 citationsPhys. Rev. D 103, 035021 (2021)
Sequential Discontinuities of Feynman Integrals and the Monodromy Group2007.13747v1 · Jacob L. Bourjaily, Holmfridur Hannesdottir, Andrew J. McLeod et al.2020 · 57 citationsarXiv
An -Matrix for Massless Particles1911.06821v2 · Holmfridur Hannesdottir, Matthew D. Schwartz2019 · 59 citationsPhys. Rev. D 101, 105001 (2020)
binary junipr: An Interpretable Probabilistic Model for Discrimination.31763911 · Andreassen, Anders, Feige, Ilya, Frye, Christopher et al.2019 · 34 citationsPhysical review letters. 2019;123(18):182001
A Finite -Matrix1906.03271v2 · Holmfridur Hannesdottir, Matthew D. Schwartz2019 · 27 citationsarXiv
Infrared Finiteness and Forward Scattering1810.10022v1 · Christopher Frye, Holmfridur Hannesdottir, Nisarga Paul et al.2018 · 47 citationsPhys. Rev. D 99, 056015 (2019)
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics1804.09720v1 · Anders Andreassen, Ilya Feige, Christopher Frye et al.2018 · 187 citationsarXiv
Jet Charge and Machine Learning1803.08066v2 · Katherine Fraser, Matthew D. Schwartz2018 · 70 citationsJHEP10 (2018) 093
Learning to Classify from Impure Samples with High-Dimensional Data1801.10158v2 · Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman et al.2018 · 108 citationsPhys. Rev. D 98, 011502 (2018)
Factorization Violation and Scale Invariance1801.01138v2 · Matthew D. Schwartz, Kai Yan, Hua Xing Zhu2018 · 29 citationsPhys. Rev. D 97, 096017 (2018)
TASI Lectures on Collider Physics1709.04533v1 · Matthew D. Schwartz2017 · 4 citationsarXiv
Pileup Mitigation with Machine Learning (PUMML)1707.08600v3 · Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman et al.2017 · 120 citationsJHEP 12 (2017) 051
Scale Invariant Instantons and the Complete Lifetime of the Standard Model1707.08124v4 · Anders Andreassen, William Frost, Matthew D. Schwartz2017 · 137 citationsPhys. Rev. D 97, 056006 (2018)
Reducing the Top Quark Mass Uncertainty with Jet Grooming1705.07135v1 · Anders Andreassen, Matthew D. Schwartz2017 · 6 citationsarXiv
Collinear factorization violation and effective field theory1703.08572v1 · Matthew D. Schwartz, Kai Yan, Hua Xing Zhu2017 · 44 citationsPhys. Rev. D 96, 056005 (2017)
Deep learning in color: towards automated quark/gluon jet discrimination1612.01551v3 · Patrick T. Komiske, Eric M. Metodiev, Matthew D. Schwartz2016 · 292 citationsJHEP 01 (2017) 110
Direct Approach to Quantum Tunneling.27982632 · Andreassen, Anders, Farhi, David, Frost, William et al.2018 · 61 citationsPhysical review letters. 2016;117(23):231601
Precision direct photon spectra at high energy and comparison to the 8 TeV ATLAS data1606.02313v1 · Matthew D. Schwartz2016 · 16 citationsarXiv
Precision decay rate calculations in quantum field theory1604.06090v2 · Anders Andreassen, David Farhi, William Frost et al.2016 · 113 citationsPhys. Rev. D 95, 085011 (2017)
Factorization for groomed jet substructure beyond the next-to-leading logarithm1603.09338v2 · Christopher Frye, Andrew J. Larkoski, Matthew D. Schwartz et al.2016 · 167 citationsarXiv
Precision physics with pile-up insensitive observables1603.06375v2 · Christopher Frye, Andrew J. Larkoski, Matthew D. Schwartz et al.2016 · 44 citationsarXiv
Career total: 190 works. 108 are in this corpus.Showing the 50 most recent.
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