David Shih

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 19

Top Topics

Pipelined Architecture

Anomaly Detection

High Energy Physics

Top Venues

Comput. Phys. Commun.

Publications

Anna Hallin, Gregor Kasieczka, Sabine Kraml, André Lessa, Louis Moureaux, Tore von Schwartz, David Shih
Universal New Physics Latent Space. CoRR (2024)
Thorsten Buss, Frank Gaede, Gregor Kasieczka, Claudius Krause, David Shih
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows. CoRR (2024)
Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR (2023)
Joschka Birk, Erik Buhmann, Cedric Ewen, Gregor Kasieczka, David Shih
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. CoRR (2023)
Ian Pang, John Andrew Raine, David Shih
SuperCalo: Calorimeter shower super-resolution. CoRR (2023)
Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins
Weakly-Supervised Anomaly Detection in the Milky Way. CoRR (2023)
Matthew R. Buckley, Claudius Krause, Ian Pang, David Shih
Inductive CaloFlow. CoRR (2023)
David Shih, Marat Freytsis, Stephen R. Taylor, Jeff A. Dror, Nolan Smyth
Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows. CoRR (2023)
Ranit Das, Gregor Kasieczka, David Shih
Residual ANODE. CoRR (2023)
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR (2022)
Claudius Krause, Ian Pang, David Shih
CaloFlow for CaloChallenge Dataset 1. CoRR (2022)
Ranit Das, Gregor Kasieczka, David Shih
Feature Selection with Distance Correlation. CoRR (2022)
Vinicius Mikuni, Benjamin Nachman, David Shih
Online-compatible Unsupervised Non-resonant Anomaly Detection. CoRR (2021)
Claudius Krause, David Shih
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows. CoRR (2021)
Claudius Krause, David Shih
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows. CoRR (2021)
Gregor Kasieczka, Benjamin Nachman, David Shih
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR (2021)
Tian Tan, Eriko Nurvitadhi, David Shih, Derek Chiou
Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks. FPT (2018)
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, Danny van Dyk, Avelino Vicente
WCxf: An exchange format for Wilson coefficients beyond the Standard Model. Comput. Phys. Commun. 232 (2018)
David Shih
Collaboration and innovation for your success. VLSI-DAT (2017)
Mihai A. Margarit, David Shih, Patrick J. Sullivan, Fernando Ortega
A 5-GHz BiCMOS RFIC front-end for IEEE 802.11a/HiperLAN wireless LAN. IEEE J. Solid State Circuits 38 (7) (2003)