A 5-GHz BiCMOS RFIC front-end for IEEE 802.11a/HiperLAN wireless LAN. - Mihai A. Margarit; David Shih; Patrick J. Sullivan; Fernando Ortega 006 (IEEE J. Solid State Circuits, 2003)

Collaboration and innovation for your success. - David Shih (VLSI-DAT, 2017)

Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks. - Tian Tan 007; Eriko Nurvitadhi; David Shih; Derek Chiou (FPT, 2018)

WCxf: An exchange format for Wilson coefficients beyond the Standard Model. - Jason Aebischer; Ilaria Brivio; Alejandro Celis; Jared A. Evans; Yun Jiang; Jacky Kumar; Xuanyou Pan; Werner Porod; Janusz Rosiek; David Shih; Florian Staub; David M. Straub; et al. (Comput. Phys. Commun., 2018)

CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows. - Claudius Krause; David Shih (CoRR, 2021)

New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. - Gregor Kasieczka; Benjamin Nachman; David Shih (CoRR, 2021)

CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows. - Claudius Krause; David Shih (CoRR, 2021)

Online-compatible Unsupervised Non-resonant Anomaly Detection. - Vinicius Mikuni; Benjamin Nachman; David Shih (CoRR, 2021)

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. - Andreas Adelmann; Walter Hopkins; Evangelos Kourlitis; Michael Kagan; Gregor Kasieczka; Claudius Krause; David Shih; Vinicius Mikuni; Benjamin Nachman; Kevin Pedro; Daniel Winklehner (CoRR, 2022)

CaloFlow for CaloChallenge Dataset 1. - Claudius Krause; Ian Pang; David Shih (CoRR, 2022)

Feature Selection with Distance Correlation. - Ranit Das; Gregor Kasieczka; David Shih (CoRR, 2022)

Weakly-Supervised Anomaly Detection in the Milky Way. - Mariel Pettee; Sowmya Thanvantri; Benjamin Nachman; David Shih; Matthew R. Buckley; Jack H. Collins (CoRR, 2023)

Inductive CaloFlow. - Matthew R. Buckley; Claudius Krause; Ian Pang; David Shih (CoRR, 2023)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; Thomas Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (CoRR, 2023)

SuperCalo: Calorimeter shower super-resolution. - Ian Pang; John Andrew Raine; David Shih (CoRR, 2023)

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. - Erik Buhmann; Cedric Ewen; Darius A. Faroughy; Tobias Golling; Gregor Kasieczka; Matthew Leigh; Guillaume Quétant; John Andrew Raine; Debajyoti Sengupta; David Shih (CoRR, 2023)

Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows. - David Shih; Marat Freytsis; Stephen R. Taylor; Jeff A. Dror; Nolan Smyth (CoRR, 2023)

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. - Joschka Birk; Erik Buhmann; Cedric Ewen; Gregor Kasieczka; David Shih (CoRR, 2023)

Residual ANODE. - Ranit Das; Gregor Kasieczka; David Shih (CoRR, 2023)

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows. - Thorsten Buss; Frank Gaede; Gregor Kasieczka; Claudius Krause; David Shih (CoRR, 2024)

Universal New Physics Latent Space. - Anna Hallin; Gregor Kasieczka; Sabine Kraml; André Lessa; Louis Moureaux; Tore von Schwartz; David Shih (CoRR, 2024)

SIGMA: Single Interpolated Generative Model for Anomalies. - Ranit Das; David Shih (CoRR, 2024)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)

Aspen Open Jets: a real-world ML-ready dataset for jet physics. - Oz Amram; Luca Anzalone; Joschka Birk; Darius A. Faroughy; Anna Hallin; Gregor Kasieczka; Michael Krämer; Ian Pang; Humberto Reyes-González; David Shih (UHH-FDR, 2024)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; T. Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (Comput. Softw. Big Sci., 2024)

Aspen Open Jets: unlocking LHC data for foundation models in particle physics. - Oz Amram; Luca Anzalone; Joschka Birk; Darius A. Faroughy; Anna Hallin; Gregor Kasieczka; Michael Krämer; Ian Pang; Humberto Reyes-González; David Shih (Mach. Learn. Sci. Technol., 2025)

Generator Based Inference (GBI). - Chi Lung Cheng; Ranit Das; Runze Li; Radha Mastandrea; Vinicius Mikuni; Benjamin Nachman; David Shih; Gup Singh (CoRR, 2025)