DS
David Shih
hep-phhep-exphysics.data-ancs.LGhep-thastro-ph.GAphysics.ins-detstat.MLastro-phastro-ph.IM
On Valency
published · living versionsW_894cw3g9·v1 · currentpublished
W_qkkpsuvh·v1published
Preprints & journals
120 papers in the corpus · 2002–2026Blueprint for an AI-Enabled Particle Theory Community2610.28505v1 · George T. Fleming, Daniel C. Hackett, James Halverson et al.2026 · 0 citationsarXivon Valency
Anomaly detection for multijet scenarios2609.00132v2 · Gregor Kasieczka, Sung Hak Lim, Louis Moureaux et al.2026 · 0 citationsarXiv
A Universal Distribution of Dark Matter in Milky Way-like galaxies and How to Infer It2607.12008v1 · Sam Cheng-Tse Huang, Matthew R. Buckley, Justin I. Read et al.2026 · 0 citationsarXiv
Hiding in the Shadow of the Upsilon: Ditaus from a Light Pseudoscalar2605.29289v3 · Matthew R Buckley, David Shih, Isaac R Wang2026 · 0 citationsarXiv
Neural Scaling Laws for Jet Generation2605.28940v2 · Oz Amram, Darius A. Faroughy, Tjarko Gerdes et al.2026 · 0 citationsarXiv
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction2605.13950v1 · Darius A. Faroughy, Sofia Palacios Schweitzer, Ian Pang et al.2026 · 0 citationsarXiv
Kitchen Sink Anomaly Detection2604.20965v1 · Ranit Das, Marie Hein, Gregor Kasieczka et al.2026 · 0 citationsarXiv
Learning to Unscramble Feynman Loop Integrals with SAILIR2604.05034v1 · David Shih2026 · 0 citationsarXivon Valency
Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories2603.11164v2 · David Shih2026 · 0 citationsarXiv
A Quenched and Relatively Isolated Dwarf Galaxy in the Local Volume2601.14248v1 · Tehreem N. Hai, Kristen B. W. McQuinn (1, Yao-Yuan Mao et al.2026 · 1 citationarXiv
Look everywhere effects in anomaly detection2512.13787v2 · Marie Hein, Benjamin Nachman, David Shih2025 · 0 citationsarXiv
ClearPotential: Revealing Local Dark Matter in Three Dimensions2512.09989v2 · Eric Putney, David Shih, Sung Hak Lim et al.2025 · 0 citationsarXiv
CaloChallenge 2022: a community challenge for fast calorimeter simulation.41086821 · Krause, Claudius, Faucci Giannelli, Michele, Kasieczka, Gregor et al.2025 · 21 citationsReports on progress in physics. Physical Society (Great Britain). 2025;88(11)
SURFing to the Fundamental Limit of Jet Tagging2511.15779v1 · Ian Pang, Darius A. Faroughy, David Shih et al.2025 · 0 citationsarXiv
Via Machinae 3.0: A search for stellar streams in Gaia with the CATHODE algorithm2509.08064v1 · Anna Hallin, David Shih, Claudius Krause et al.2025 · 0 citationsarXiv
Generator Based Inference (GBI)2506.00119v1 · Chi Lung Cheng, Ranit Das, Runze Li et al.2025 · 0 citationsarXiv
Sweeping the Dust Away -- Correcting the Phase Space Density of the Milky Way with Unsupervised Machine Learning2412.14236v2 · Eric Putney, David Shih, Sung Hak Lim et al.2024 · 1 citationarXiv
Accurate and robust methods for direct background estimation in resonant anomaly detection2411.00085v1 · Ranit Das, Thorben Finke, Marie Hein et al.2024 · 1 citationarXiv
SIGMA: Single Interpolated Generative Model for Anomalies2410.20537v2 · Ranit Das, David Shih2024 · 2 citationsarXiv
Universal New Physics Latent Space2407.20315v2 · Anna Hallin, Gregor Kasieczka, Sabine Kraml et al.2024 · 1 citationPhys. Rev. D 111, 016006 (2025)
Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows.39042794 · Shih, David, Freytsis, Marat, Taylor, Stephen R et al.2024 · 14 citationsPhysical review letters. 2024;133(1):011402
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows2405.20407v3 · Thorsten Buss, Frank Gaede, Gregor Kasieczka et al.2024 · 15 citations2024 JINST 19 P09003
SkyCURTAINs: Model agnostic search for Stellar Streams with Gaia data2405.12131v1 · Debajyoti Sengupta, Stephen Mulligan, David Shih et al.2024 · 5 citationsarXiv
Unifying Simulation and Inference with Normalizing Flows2404.18992v3 · Haoxing Du, Claudius Krause, Vinicius Mikuni et al.2024 · 7 citationsPhys. Rev. D 111, 076004 (2025)
Complete Optimal Non-Resonant Anomaly Detection2404.07258v1 · Gregor Kasieczka, John Andrew Raine, David Shih et al.2024 · 0 citationsarXiv
The interplay of machine learning-based resonant anomaly detection methods.38463614 · Golling, Tobias, Kasieczka, Gregor, Krause, Claudius et al.2024 · 26 citationsThe European physical journal. C, Particles and fields. 2024;84(3):241
Anomaly detection with flow-based fast calorimeter simulators2312.11618v2 · Claudius Krause, Benjamin Nachman, Ian Pang et al.2023 · 8 citationsarXiv
Normalizing Flows for High-Dimensional Detector Simulations2312.09290v2 · Florian Ernst, Luigi Favaro, Claudius Krause et al.2023 · 23 citationsSciPost Phys. 18, 081 (2025)
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information2312.00123v2 · Joschka Birk, Erik Buhmann, Cedric Ewen et al.2023 · 11 citationsPhys. Rev. D 111, 052008 (2025)
Full Phase Space Resonant Anomaly Detection2310.06897v3 · Erik Buhmann, Cedric Ewen, Gregor Kasieczka et al.2023 · 26 citationsPhys. Rev. D 109, 055015 (2024)
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion2310.00049v1 · Erik Buhmann, Cedric Ewen, Darius A. Faroughy et al.2023 · 14 citationsarXiv
Combining Resonant and Tail-based Anomaly Detection2309.12918v2 · Gerrit Bickendorf, Manuel Drees, Gregor Kasieczka et al.2023 · 13 citationsarXiv
Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection2309.13111v1 · Thorben Finke, Marie Hein, Gregor Kasieczka et al.2023 · 1 citationarXiv
Calorimeter shower superresolution2308.11700v3 · Ian Pang, John Andrew Raine, David Shih2023 · 17 citationsPhys. Rev. D 109, 092009 (2024)
Artificial Intelligence for the Electron Ion Collider (AI4EIC)2307.08593v1 · C. Allaire, R. Ammendola, E.-C. Aschenauer et al.2023 · 16 citationsarXiv
Discovery and Characterization of Two Ultra Faint-Dwarfs Outside the Halo of the Milky Way: Leo M and Leo K2307.08738v2 · Kristen B. W. McQuinn, Yao-Yuan Mao, Erik J. Tollerud et al.2023 · 2 citationsarXiv
How to Understand Limitations of Generative Networks2305.16774v2 · Ranit Das, Luigi Favaro, Theo Heimel et al.2023 · 42 citationsSciPost Phys. 16, 031 (2024)
Mapping Dark Matter in the Milky Way using Normalizing Flows and Gaia DR32305.13358v3 · Sung Hak Lim, Eric Putney, Matthew R. Buckley et al.2023 · 28 citationsJCAP01(2025)021
Inductive Simulation of Calorimeter Showers with Normalizing Flows2305.11934v2 · Matthew R. Buckley, Claudius Krause, Ian Pang et al.2023 · 36 citationsPhys. Rev. D 109, 033006 (2024)
Weakly-Supervised Anomaly Detection in the Milky Way2305.03761v1 · Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman et al.2023 · 10 citationsarXiv
Via Machinae 2.0: Full-Sky, Model-Agnostic Search for Stellar Streams in Gaia DR22303.01529v1 · David Shih, Matthew R. Buckley, Lina Necib2023 · 15 citationsarXiv
L2LFlows: Generating High-Fidelity 3D Calorimeter Images2302.11594v2 · Sascha Diefenbacher, Engin Eren, Frank Gaede et al.2023 · 45 citations2023 JINST 18 P10017
Pegasus W: An Ultra-Faint Dwarf Galaxy Outside the Halo of M31 Not Quenched by Reionization2301.04157v3 · Kristen. B. W. McQuinn, Yao-Yuan Mao, Matthew R. Buckley et al.2023 · 33 citationsarXiv
Feature Selection with Distance Correlation2212.00046v1 · Ranit Das, Gregor Kasieczka, David Shih2022 · 17 citationsarXiv
GalaxyFlow: Upsampling Hydrodynamical Simulations for Realistic Mock Stellar Catalogs2211.11765v2 · Sung Hak Lim, Kailash A. Raman, Matthew R. Buckley et al.2022 · 7 citationsMonthly Notices of the Royal Astronomical Society, Volume 533, Issue 1, September 2024, Pages 143-164
Resonant anomaly detection without background sculpting2210.14924v2 · Anna Hallin, Gregor Kasieczka, Tobias Quadfasel et al.2022 · 48 citationsPhys. Rev. D 107, 114012 (2023)
CaloFlow for CaloChallenge Dataset 12210.14245v3 · Claudius Krause, Ian Pang, David Shih2022 · 35 citationsSciPost Phys. 16, 126 (2024)
Anomaly Detection under Coordinate Transformations2209.06225v1 · Gregor Kasieczka, Radha Mastandrea, Vinicius Mikuni et al.2022 · 21 citationsarXiv
VBF vs. GGF Higgs with Full-Event Deep Learning: Towards a Decay-Agnostic Tagger2209.05518v2 · Cheng-Wei Chiang, David Shih, Shang-Fu Wei2022 · 3 citationsarXiv
Measuring Galactic Dark Matter through Unsupervised Machine Learning2205.01129v1 · Matthew R Buckley, Sung Hak Lim, Eric Putney et al.2022 · 16 citationsarXiv
Career total: at least 192 works. 120 are in this corpus.Showing the 50 most recent.
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